AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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You can expand the Abstract, Links and BibTex record for each paper.
2025
Raj, P.
Generative AI for the enterprise metaverse system engineering Book Section
In: Engineering the Metaverse: Enabling technologies, platforms and use cases, pp. 97–118, Institution of Engineering and Technology, 2025, ISBN: 978-183953881-0 (ISBN); 978-183953880-3 (ISBN).
Abstract | Links | BibTeX | Tags: Computer vision, Cybersecurity, Digital avatars, Immersive and interactive experience, Internet of things (IoT)
@incollection{raj_generative_2025,
title = {Generative AI for the enterprise metaverse system engineering},
author = {P. Raj},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-86000473202&doi=10.1049%2fPBPC070E_ch6&partnerID=40&md5=274a94afa9c33ac10902194859e85e81},
doi = {10.1049/PBPC070E_ch6},
isbn = {978-183953881-0 (ISBN); 978-183953880-3 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {Engineering the Metaverse: Enabling technologies, platforms and use cases},
pages = {97–118},
publisher = {Institution of Engineering and Technology},
abstract = {With digitization and digitalization technologies flourishing, the digital era is dawning upon us influentially. Every tangible entity becomes digitized to participate in mainstream computing fluidly. When digital entities interact with one another purposefully, a massive amount of multi-structured data gets produced, collected, cleansed, and stocked for posterior data analytics to extract hidden insights, patterns, and other knowledge bases. Artificial intelligence (AI), the most popular digital transformation technology on the planet Earth, is succulently capable of making sense out of accumulating digital datasets. Knowledge discovery is disseminated to the concerned systems to make them aware of the power of knowledge-enabled systems. Notably, there are several illuminating and insightful improvisations (for example, multimodal generative AI) in the AI space. Blockchain, Web 3.0, the IoT, edge computing, cloud-native computing, immersive technologies such as virtual, augmented, mixed, and extended realities (VR, AR, MR and XR), multimodal LLMs for crafting 3D models for a variety of things including buildings, landscapes, etc., digital twins for complicated physical systems, processes and spaces, 5G communication, non-fungible tokens (NFTs), simulation tools, etc. are blending to establish 3D virtual environments to captivate users. Besides the consumer metaverse, enterprise metaverse systems emerge and evolve fast to bring delectable and decisive automation, acceleration, and augmentation to businesses. In this chapter, we have dug deep and dealt with the enterprise metaverse at length to educate and empower our esteemed readers. © The Institution of Engineering and Technology and its licensors 2024.},
keywords = {Computer vision, Cybersecurity, Digital avatars, Immersive and interactive experience, Internet of things (IoT)},
pubstate = {published},
tppubtype = {incollection}
}
With digitization and digitalization technologies flourishing, the digital era is dawning upon us influentially. Every tangible entity becomes digitized to participate in mainstream computing fluidly. When digital entities interact with one another purposefully, a massive amount of multi-structured data gets produced, collected, cleansed, and stocked for posterior data analytics to extract hidden insights, patterns, and other knowledge bases. Artificial intelligence (AI), the most popular digital transformation technology on the planet Earth, is succulently capable of making sense out of accumulating digital datasets. Knowledge discovery is disseminated to the concerned systems to make them aware of the power of knowledge-enabled systems. Notably, there are several illuminating and insightful improvisations (for example, multimodal generative AI) in the AI space. Blockchain, Web 3.0, the IoT, edge computing, cloud-native computing, immersive technologies such as virtual, augmented, mixed, and extended realities (VR, AR, MR and XR), multimodal LLMs for crafting 3D models for a variety of things including buildings, landscapes, etc., digital twins for complicated physical systems, processes and spaces, 5G communication, non-fungible tokens (NFTs), simulation tools, etc. are blending to establish 3D virtual environments to captivate users. Besides the consumer metaverse, enterprise metaverse systems emerge and evolve fast to bring delectable and decisive automation, acceleration, and augmentation to businesses. In this chapter, we have dug deep and dealt with the enterprise metaverse at length to educate and empower our esteemed readers. © The Institution of Engineering and Technology and its licensors 2024.
Banafa, A.
Artificial intelligence in action: Real-world applications and innovations Book
River Publishers, 2025, ISBN: 978-877004619-0 (ISBN); 978-877004620-6 (ISBN).
Abstract | Links | BibTeX | Tags: 5G, Affective Computing, AGI, AI, AI alignments, AI Ethics, AI hallucinations, AI hype, AI models, Alexa, ANI, ASI, Augmented Reality, Autoencoders, Autonomic computing, Autonomous Cars, Autoregressive models, Big Data, Big Data Analytics, Bitcoin, Blockchain, C3PO, Casual AI, Causal reasoning, ChatGPT, Cloud computing, Collective AI, Compression engines, Computer vision, Conditional Automation, Convolutional neural networks (CNNs), Cryptocurrency, Cybersecurity, Deceptive AI, Deep learning, Digital transformation, Driver Assistance, Driverless Cars, Drones, Elon Musk, Entanglement, Environment and sustainability, Ethereum, Explainable AI, Facebook, Facial Recognition, Feedforward. Neural Networks, Fog Computing, Full Automation, Future of AI, General AI, Generative Adversarial Networks (GANs), Generative AI, Google, Green AI, High Automation, Hybrid Blockchain, IEEE, Industrial Internet of Things (IIoT), Internet of things (IoT), Jarvis, Java, JavaScript, Long Short-Term Memory Networks, LTE, machine learning, Microsoft, MultiModal AI, Narrow AI, Natural disasters, Natural Language Generation (NLG), Natural Language Processing (NLP), NetFlix, Network Security, Neural Networks, Nuclear, Nuclear AI, NYTimes, Objective-driven AI, Open Source, Partial Automation, PayPal, Perfect AI, Private Blockchain, Private Cloud Computing, Programming languages, Python, Quantum Communications, Quantum Computing, Quantum Cryptography, Quantum internet, Quantum Machine Learning (QML), R2D2, Reactive machines. limited memory, Recurrent Neural Networks, Responsible AI, Robots, Sci-Fi movies, Self-Aware, Semiconductorâ??s, Sensate AI, Siri, Small Data, Smart Contracts. Hybrid Cloud Computing, Smart Devices, Sovereign AI, Super AI, Superposition, TensorFlow, Theory of Mind, Thick Data, Twitter, Variational Autoencoders (VAEs), Virtual Reality, Voice user interface (VUI), Wearable computing devices (WCD), Wearable Technology, Wi-Fi, XAI, Zero-Trust Model
@book{banafa_artificial_2025,
title = {Artificial intelligence in action: Real-world applications and innovations},
author = {A. Banafa},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105000403587&partnerID=40&md5=4b0d94be48194a942b22bef63f36d3bf},
isbn = {978-877004619-0 (ISBN); 978-877004620-6 (ISBN)},
year = {2025},
date = {2025-01-01},
publisher = {River Publishers},
series = {Artificial Intelligence in Action: Real-World Applications and Innovations},
abstract = {This comprehensive book dives deep into the current landscape of AI, exploring its fundamental principles, development challenges, potential risks, and the cutting-edge breakthroughs that are propelling it forward. Artificial intelligence (AI) is rapidly transforming industries and societies worldwide through groundbreaking innovations and real-world applications. Starting with the core concepts, the book examines the various types of AI systems, generative AI models, and the complexities of machine learning. It delves into the programming languages driving AI development, data pipelines, model creation and deployment processes, while shedding light on issues like AI hallucinations and the intricate path of machine unlearning. The book then showcases the remarkable real-world applications of AI across diverse domains. From preventing job displacement and promoting environmental sustainability, to enhancing disaster response, drone technology, and even nuclear energy innovation, it highlights how AI is tackling complex challenges and driving positive change. The book also explores the double-edged nature of AI, recognizing its tremendous potential while cautioning about the risks of misuse, unintended consequences, and the urgent need for responsible development practices. It examines the intersection of AI and fields like operating system design, warfare, and semiconductor technology, underscoring the wide-ranging implications of this transformative force. As the quest for artificial general intelligence (AGI) and superintelligent AI systems intensifies, the book delves into cutting-edge research, emerging trends, and the pursuit of multimodal, explainable, and causally aware AI systems. It explores the symbiotic relationship between AI and human creativity, the rise of user-friendly "casual AI," and the potential of AI to tackle open-ended tasks. This is an essential guide for understanding the profound impact of AI on our world today and its potential to shape our future. From the frontiers of innovation to the challenges of responsible development, this book offers a comprehensive and insightful exploration of the remarkable real-world applications and innovations driving the AI revolution. © 2025 River Publishers. All rights reserved.},
keywords = {5G, Affective Computing, AGI, AI, AI alignments, AI Ethics, AI hallucinations, AI hype, AI models, Alexa, ANI, ASI, Augmented Reality, Autoencoders, Autonomic computing, Autonomous Cars, Autoregressive models, Big Data, Big Data Analytics, Bitcoin, Blockchain, C3PO, Casual AI, Causal reasoning, ChatGPT, Cloud computing, Collective AI, Compression engines, Computer vision, Conditional Automation, Convolutional neural networks (CNNs), Cryptocurrency, Cybersecurity, Deceptive AI, Deep learning, Digital transformation, Driver Assistance, Driverless Cars, Drones, Elon Musk, Entanglement, Environment and sustainability, Ethereum, Explainable AI, Facebook, Facial Recognition, Feedforward. Neural Networks, Fog Computing, Full Automation, Future of AI, General AI, Generative Adversarial Networks (GANs), Generative AI, Google, Green AI, High Automation, Hybrid Blockchain, IEEE, Industrial Internet of Things (IIoT), Internet of things (IoT), Jarvis, Java, JavaScript, Long Short-Term Memory Networks, LTE, machine learning, Microsoft, MultiModal AI, Narrow AI, Natural disasters, Natural Language Generation (NLG), Natural Language Processing (NLP), NetFlix, Network Security, Neural Networks, Nuclear, Nuclear AI, NYTimes, Objective-driven AI, Open Source, Partial Automation, PayPal, Perfect AI, Private Blockchain, Private Cloud Computing, Programming languages, Python, Quantum Communications, Quantum Computing, Quantum Cryptography, Quantum internet, Quantum Machine Learning (QML), R2D2, Reactive machines. limited memory, Recurrent Neural Networks, Responsible AI, Robots, Sci-Fi movies, Self-Aware, Semiconductorâ??s, Sensate AI, Siri, Small Data, Smart Contracts. Hybrid Cloud Computing, Smart Devices, Sovereign AI, Super AI, Superposition, TensorFlow, Theory of Mind, Thick Data, Twitter, Variational Autoencoders (VAEs), Virtual Reality, Voice user interface (VUI), Wearable computing devices (WCD), Wearable Technology, Wi-Fi, XAI, Zero-Trust Model},
pubstate = {published},
tppubtype = {book}
}
This comprehensive book dives deep into the current landscape of AI, exploring its fundamental principles, development challenges, potential risks, and the cutting-edge breakthroughs that are propelling it forward. Artificial intelligence (AI) is rapidly transforming industries and societies worldwide through groundbreaking innovations and real-world applications. Starting with the core concepts, the book examines the various types of AI systems, generative AI models, and the complexities of machine learning. It delves into the programming languages driving AI development, data pipelines, model creation and deployment processes, while shedding light on issues like AI hallucinations and the intricate path of machine unlearning. The book then showcases the remarkable real-world applications of AI across diverse domains. From preventing job displacement and promoting environmental sustainability, to enhancing disaster response, drone technology, and even nuclear energy innovation, it highlights how AI is tackling complex challenges and driving positive change. The book also explores the double-edged nature of AI, recognizing its tremendous potential while cautioning about the risks of misuse, unintended consequences, and the urgent need for responsible development practices. It examines the intersection of AI and fields like operating system design, warfare, and semiconductor technology, underscoring the wide-ranging implications of this transformative force. As the quest for artificial general intelligence (AGI) and superintelligent AI systems intensifies, the book delves into cutting-edge research, emerging trends, and the pursuit of multimodal, explainable, and causally aware AI systems. It explores the symbiotic relationship between AI and human creativity, the rise of user-friendly "casual AI," and the potential of AI to tackle open-ended tasks. This is an essential guide for understanding the profound impact of AI on our world today and its potential to shape our future. From the frontiers of innovation to the challenges of responsible development, this book offers a comprehensive and insightful exploration of the remarkable real-world applications and innovations driving the AI revolution. © 2025 River Publishers. All rights reserved.
2024
Williams, R.
Deep HoriXons - 3D Virtual Generative AI Assisted Campus for Deep Learning AI and Cybersecurity Proceedings Article
In: M., Blowers; B.T., Wysocki (Ed.): Proc SPIE Int Soc Opt Eng, SPIE, 2024, ISBN: 0277786X (ISSN); 978-151067434-9 (ISBN).
Abstract | Links | BibTeX | Tags: 3D virtual campus, AI and cybersecurity education, AI talent pipeline, ChatGPT digital tutor, CompTIA Security+, Computer aided instruction, Cyber security, Cyber-security educations, Cybersecurity, Deep learning, E-Learning, Immersive, Learning systems, Virtual campus, Virtual learning environments, Virtual Reality
@inproceedings{williams_deep_2024,
title = {Deep HoriXons - 3D Virtual Generative AI Assisted Campus for Deep Learning AI and Cybersecurity},
author = {R. Williams},
editor = {Blowers M. and Wysocki B.T.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196555361&doi=10.1117%2f12.3011374&partnerID=40&md5=ff7392a37a51044c79d4d2824c9cf46b},
doi = {10.1117/12.3011374},
isbn = {0277786X (ISSN); 978-151067434-9 (ISBN)},
year = {2024},
date = {2024-01-01},
booktitle = {Proc SPIE Int Soc Opt Eng},
volume = {13058},
publisher = {SPIE},
abstract = {This abstract outlines two significant innovations in AI and cybersecurity education within the "Deep HoriXons" 3D virtual campus, addressing the urgent need for skilled professionals in these domains. First, the paper introduces "Deep HoriXons," an immersive 3D virtual learning environment designed to democratize and enhance the educational experience for AI and cybersecurity. This innovation is notable for its global accessibility and ability to simulate real-world scenarios, providing an interactive platform for experiential learning, which is a marked departure from traditional educational models. The second innovation discussed is the strategic integration of ChatGPT as a digital educator and tutor within this virtual environment. ChatGPT's role is pivotal in offering tailored, real-time educational support, making complex AI and cybersecurity concepts more accessible and engaging for learners. This application of ChatGPT is an innovation worth noting for its ability to adapt to individual learning styles, provide interactive scenario-based learning, and support a deeper understanding of technical subjects through dynamic, responsive interaction. Together, these innovations represent a significant advancement in the field of AI and cybersecurity education, addressing the critical talent shortage by making high-quality, interactive learning experiences accessible on a global scale. The paper highlights the importance of these innovations in creating a skilled workforce capable of tackling the evolving challenges in AI and cybersecurity, underscoring the need for ongoing research and development in this area. © 2024 SPIE.},
keywords = {3D virtual campus, AI and cybersecurity education, AI talent pipeline, ChatGPT digital tutor, CompTIA Security+, Computer aided instruction, Cyber security, Cyber-security educations, Cybersecurity, Deep learning, E-Learning, Immersive, Learning systems, Virtual campus, Virtual learning environments, Virtual Reality},
pubstate = {published},
tppubtype = {inproceedings}
}
This abstract outlines two significant innovations in AI and cybersecurity education within the "Deep HoriXons" 3D virtual campus, addressing the urgent need for skilled professionals in these domains. First, the paper introduces "Deep HoriXons," an immersive 3D virtual learning environment designed to democratize and enhance the educational experience for AI and cybersecurity. This innovation is notable for its global accessibility and ability to simulate real-world scenarios, providing an interactive platform for experiential learning, which is a marked departure from traditional educational models. The second innovation discussed is the strategic integration of ChatGPT as a digital educator and tutor within this virtual environment. ChatGPT's role is pivotal in offering tailored, real-time educational support, making complex AI and cybersecurity concepts more accessible and engaging for learners. This application of ChatGPT is an innovation worth noting for its ability to adapt to individual learning styles, provide interactive scenario-based learning, and support a deeper understanding of technical subjects through dynamic, responsive interaction. Together, these innovations represent a significant advancement in the field of AI and cybersecurity education, addressing the critical talent shortage by making high-quality, interactive learning experiences accessible on a global scale. The paper highlights the importance of these innovations in creating a skilled workforce capable of tackling the evolving challenges in AI and cybersecurity, underscoring the need for ongoing research and development in this area. © 2024 SPIE.
Dunaeva, Y.
Digital Evolution of Universities: Neural Networks in Education Book Section
In: Springer Geography, vol. Part F3974, pp. 453–463, Springer Science and Business Media Deutschland GmbH, 2024, ISBN: 2194315X (ISSN).
Abstract | Links | BibTeX | Tags: Artificial general intelligence (AGI), Cybersecurity, Cybersecurity threat, Digital exceptionalism, Dipfake, Large language models (LLM), machine learning, Virtual and augmented reality
@incollection{dunaeva_digital_2024,
title = {Digital Evolution of Universities: Neural Networks in Education},
author = {Y. Dunaeva},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216787264&doi=10.1007%2f978-3-031-70886-2_38&partnerID=40&md5=9d11413a8dc4aa487c161f0746117169},
doi = {10.1007/978-3-031-70886-2_38},
isbn = {2194315X (ISSN)},
year = {2024},
date = {2024-01-01},
booktitle = {Springer Geography},
volume = {Part F3974},
pages = {453–463},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {The study articulates the main achievements and opportunities, as well as threats and potential risks of using neural networks in education. Artificial intelligence is the top research topic of 2022–2023 and the period of emergence of new terms such as large language models, dipfake, virtual and augmented reality, and so on. The paper evaluates the tremendous potential of artificial intelligence in education, among which methods such as using AI to create personalized educational programs, analyzing big data on learning success, automating the assessment and grading process, developing new teaching methods, and creating a new knowledge assessment system such as text analysis and pattern recognition. However, artificial intelligence has significantly increased risks in scientific and educational environments: the paper analyzes threats such as cyberstalking (online stalking), phishing (malicious URLs to access accounts), and others. Methodologically, the article is based on the concept of digital participation. Considering university professors as passive recipients or consumers of the services of artificial intelligence technologies, the digital inclusion strategy emphasizes only technological progress, linking it to the younger generation, and underestimates the concept of digital participation of scientists, based on systems thinking, scientific outlook, life wisdom, and devotion to moral ideals. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.},
keywords = {Artificial general intelligence (AGI), Cybersecurity, Cybersecurity threat, Digital exceptionalism, Dipfake, Large language models (LLM), machine learning, Virtual and augmented reality},
pubstate = {published},
tppubtype = {incollection}
}
The study articulates the main achievements and opportunities, as well as threats and potential risks of using neural networks in education. Artificial intelligence is the top research topic of 2022–2023 and the period of emergence of new terms such as large language models, dipfake, virtual and augmented reality, and so on. The paper evaluates the tremendous potential of artificial intelligence in education, among which methods such as using AI to create personalized educational programs, analyzing big data on learning success, automating the assessment and grading process, developing new teaching methods, and creating a new knowledge assessment system such as text analysis and pattern recognition. However, artificial intelligence has significantly increased risks in scientific and educational environments: the paper analyzes threats such as cyberstalking (online stalking), phishing (malicious URLs to access accounts), and others. Methodologically, the article is based on the concept of digital participation. Considering university professors as passive recipients or consumers of the services of artificial intelligence technologies, the digital inclusion strategy emphasizes only technological progress, linking it to the younger generation, and underestimates the concept of digital participation of scientists, based on systems thinking, scientific outlook, life wisdom, and devotion to moral ideals. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Chandrashekar, N. Donekal; Lee, A.; Azab, M.; Gracanin, D.
Understanding User Behavior for Enhancing Cybersecurity Training with Immersive Gamified Platforms Journal Article
In: Information (Switzerland), vol. 15, no. 12, 2024, ISSN: 20782489 (ISSN).
Abstract | Links | BibTeX | Tags: Artificial intelligence, Critical infrastructures, Cyber attacks, Cyber security, Cyber systems, Cyber-attacks, Cybersecurity, Decisions makings, Digital infrastructures, digital twin, Extended reality, Gamification, Immersive, Network Security, simulation, Technical vulnerabilities, Training, user behavior, User behaviors
@article{donekal_chandrashekar_understanding_2024,
title = {Understanding User Behavior for Enhancing Cybersecurity Training with Immersive Gamified Platforms},
author = {N. Donekal Chandrashekar and A. Lee and M. Azab and D. Gracanin},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213435167&doi=10.3390%2finfo15120814&partnerID=40&md5=134c43c7238bae4923468bc6e46c860d},
doi = {10.3390/info15120814},
issn = {20782489 (ISSN)},
year = {2024},
date = {2024-01-01},
journal = {Information (Switzerland)},
volume = {15},
number = {12},
abstract = {In modern digital infrastructure, cyber systems are foundational, making resilience against sophisticated attacks essential. Traditional cybersecurity defenses primarily address technical vulnerabilities; however, the human element, particularly decision-making during cyber attacks, adds complexities that current behavioral studies fail to capture adequately. Existing approaches, including theoretical models, game theory, and simulators, rely on retrospective data and static scenarios. These methods often miss the real-time, context-specific nature of user responses during cyber threats. To address these limitations, this work introduces a framework that combines Extended Reality (XR) and Generative Artificial Intelligence (Gen-AI) within a gamified platform. This framework enables continuous, high-fidelity data collection on user behavior in dynamic attack scenarios. It includes three core modules: the Player Behavior Module (PBM), Gamification Module (GM), and Simulation Module (SM). Together, these modules create an immersive, responsive environment for studying user interactions. A case study in a simulated critical infrastructure environment demonstrates the framework’s effectiveness in capturing realistic user behaviors under cyber attack, with potential applications for improving response strategies and resilience across critical sectors. This work lays the foundation for adaptive cybersecurity training and user-centered development across critical infrastructure. © 2024 by the authors.},
keywords = {Artificial intelligence, Critical infrastructures, Cyber attacks, Cyber security, Cyber systems, Cyber-attacks, Cybersecurity, Decisions makings, Digital infrastructures, digital twin, Extended reality, Gamification, Immersive, Network Security, simulation, Technical vulnerabilities, Training, user behavior, User behaviors},
pubstate = {published},
tppubtype = {article}
}
In modern digital infrastructure, cyber systems are foundational, making resilience against sophisticated attacks essential. Traditional cybersecurity defenses primarily address technical vulnerabilities; however, the human element, particularly decision-making during cyber attacks, adds complexities that current behavioral studies fail to capture adequately. Existing approaches, including theoretical models, game theory, and simulators, rely on retrospective data and static scenarios. These methods often miss the real-time, context-specific nature of user responses during cyber threats. To address these limitations, this work introduces a framework that combines Extended Reality (XR) and Generative Artificial Intelligence (Gen-AI) within a gamified platform. This framework enables continuous, high-fidelity data collection on user behavior in dynamic attack scenarios. It includes three core modules: the Player Behavior Module (PBM), Gamification Module (GM), and Simulation Module (SM). Together, these modules create an immersive, responsive environment for studying user interactions. A case study in a simulated critical infrastructure environment demonstrates the framework’s effectiveness in capturing realistic user behaviors under cyber attack, with potential applications for improving response strategies and resilience across critical sectors. This work lays the foundation for adaptive cybersecurity training and user-centered development across critical infrastructure. © 2024 by the authors.
Baldry, M. K.; Happa, J.; Steed, A.; Smith, S.; Glencross, M.
From Embodied Abuse to Mass Disruption: Generative, Inter-Reality Threats in Social, Mixed-Reality Platforms Journal Article
In: Digital Threats: Research and Practice, vol. 5, no. 4, 2024, ISSN: 25765337 (ISSN).
Abstract | Links | BibTeX | Tags: Abuse, Augmented Reality, Cyber security, Cybersecurity, Extended reality, Game, Games, Generative adversarial networks, Harassment, Harm, harms, Mixed reality, risk, Social engineering, Social gaming, Social platform, social platforms, Social psychology, Virtual environments, Virtual Reality
@article{baldry_embodied_2024,
title = {From Embodied Abuse to Mass Disruption: Generative, Inter-Reality Threats in Social, Mixed-Reality Platforms},
author = {M. K. Baldry and J. Happa and A. Steed and S. Smith and M. Glencross},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212265918&doi=10.1145%2f3696015&partnerID=40&md5=d3b42f4f3875846fcdc6758ab20708cc},
doi = {10.1145/3696015},
issn = {25765337 (ISSN)},
year = {2024},
date = {2024-01-01},
journal = {Digital Threats: Research and Practice},
volume = {5},
number = {4},
abstract = {Extended Reality (XR) platforms can expose users to novel attacks including embodied abuse and/or AI attacks-at-scale. The expanded attack surfaces of XR technologies may expose users of shared online platforms to psychological/social and physiological harms via embodied interactions with potentially millions of other humans or artificial humans, causing what we define as an inter-reality attack. The past 20 years have demonstrated how social and other harms (e.g., bullying, assault and stalking) can and do shift to digital social media and gaming platforms. XR technologies becoming more mainstream has led to investigations of ethical and technical consequences of these expanded input surfaces. However, there is limited literature that investigates social attacks, particularly towards vulnerable communities, and how AI technologies may accelerate generative attacks-at-scale. This article employs human-centred research methods and a harms-centred Cybersecurity framework to co-design a testbed of socio-technical attack scenarios in XR social gaming platforms. It uses speculative fiction to further extrapolate how these could reach attacks-at-scale by applying generative AI techniques. It develops an Inter-Reality Threat Model to outline how actions in virtual environments can impact on the real-world. As AI capability continues to rapidly develop, this article articulates the urgent need to consider a future where XR-AI attacks-at-scale could become commonplace. © 2024 Copyright held by the owner/author(s).},
keywords = {Abuse, Augmented Reality, Cyber security, Cybersecurity, Extended reality, Game, Games, Generative adversarial networks, Harassment, Harm, harms, Mixed reality, risk, Social engineering, Social gaming, Social platform, social platforms, Social psychology, Virtual environments, Virtual Reality},
pubstate = {published},
tppubtype = {article}
}
Extended Reality (XR) platforms can expose users to novel attacks including embodied abuse and/or AI attacks-at-scale. The expanded attack surfaces of XR technologies may expose users of shared online platforms to psychological/social and physiological harms via embodied interactions with potentially millions of other humans or artificial humans, causing what we define as an inter-reality attack. The past 20 years have demonstrated how social and other harms (e.g., bullying, assault and stalking) can and do shift to digital social media and gaming platforms. XR technologies becoming more mainstream has led to investigations of ethical and technical consequences of these expanded input surfaces. However, there is limited literature that investigates social attacks, particularly towards vulnerable communities, and how AI technologies may accelerate generative attacks-at-scale. This article employs human-centred research methods and a harms-centred Cybersecurity framework to co-design a testbed of socio-technical attack scenarios in XR social gaming platforms. It uses speculative fiction to further extrapolate how these could reach attacks-at-scale by applying generative AI techniques. It develops an Inter-Reality Threat Model to outline how actions in virtual environments can impact on the real-world. As AI capability continues to rapidly develop, this article articulates the urgent need to consider a future where XR-AI attacks-at-scale could become commonplace. © 2024 Copyright held by the owner/author(s).
2023
Banafa, A.
Transformative AI: Responsible, Transparent, and Trustworthy AI Systems Book
River Publishers, 2023, ISBN: 978-877004018-1 (ISBN); 978-877004019-8 (ISBN).
Abstract | Links | BibTeX | Tags: 5G, Affective Computing, AI, AI Ethics, Alexa, Augment Reality, Autoencoders, Autonomous Cars, Autoregressive models, Big Data, Big Data Analytics, Bitcoin, Blockchain, C3PO, ChatGPT, Cloud computing, CNN, Computer vision, Conditional Automation, Convolutional Neural Networks, Cryptocurrency, Cybersecurity, Deep learning, Digital transformation, Driver Assistance, Driverless Cars, Entanglement, Ethereum, Explainable AI. Environment and sustainability, Facebook, Facial Recognition, Feedforward. Neural Networks, Fog Computing, Full Automation, General AI, Generative Adversarial Networks (GANs), Generative AI, Google, High Automation, Hybrid Blockchain, IEEE, IIoT, Industrial Internet of Things, Internet of Things, IoT, Jarvis, Long Short-Term Memory Networks, LTE, Machin Learning, Microsoft, Narrow AI, Natural Language Generation (NLG), Natural Language Processing (NLP), NetFlix, Network Security, Neural Networks, NYTimes, Open Source, Partial Automation, PayPal, Private Blockchain, Private Cloud Computing, Quantum Communications, Quantum Computing, Quantum Cryptography, Quantum Internet. Wearable Computing Devices (WCD). Autonomic Computing, Quantum Machine Learning (QML), R2D2, Reactive Machines . Limited Memory, Recurrent Neural Networks, Robots, Sci-Fi movies, Self-Aware, Siri, Small Data, Smart Contracts. Hybrid Cloud Computing, Smart Devices, Super AI, Superposition, Theory of Mind, Thick Data, Twitter, Variational Autoencoders (VAEs), Virtual Reality, Voice User Interface, VUI, Wearable Technology, Wi-Fi, Zero-Trust Model
@book{banafa_transformative_2023,
title = {Transformative AI: Responsible, Transparent, and Trustworthy AI Systems},
author = {A. Banafa},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180544759&partnerID=40&md5=c1fcd00f4b40e16156d9877185f66554},
isbn = {978-877004018-1 (ISBN); 978-877004019-8 (ISBN)},
year = {2023},
date = {2023-01-01},
publisher = {River Publishers},
series = {Transformative AI: Responsible, Transparent, and Trustworthy AI Systems},
abstract = {Transformative AI provides a comprehensive overview of the latest trends, challenges, applications, and opportunities in the field of Artificial Intelligence. The book covers the state of the art in AI research, including machine learning, natural language processing, computer vision, and robotics, and explores how these technologies are transforming various industries and domains, such as healthcare, finance, education, and entertainment. The book also addresses the challenges that come with the widespread adoption of AI, including ethical concerns, bias, and the impact on jobs and society. It provides insights into how to mitigate these challenges and how to design AI systems that are responsible, transparent, and trustworthy. The book offers a forward-looking perspective on the future of AI, exploring the emerging trends and applications that are likely to shape the next decade of AI innovation. It also provides practical guidance for businesses and individuals on how to leverage the power of AI to create new products, services, and opportunities. Overall, the book is an essential read for anyone who wants to stay ahead of the curve in the rapidly evolving field of Artificial Intelligence and understand the impact that this transformative technology will have on our lives in the coming years. © 2024 River Publishers. All rights reserved.},
keywords = {5G, Affective Computing, AI, AI Ethics, Alexa, Augment Reality, Autoencoders, Autonomous Cars, Autoregressive models, Big Data, Big Data Analytics, Bitcoin, Blockchain, C3PO, ChatGPT, Cloud computing, CNN, Computer vision, Conditional Automation, Convolutional Neural Networks, Cryptocurrency, Cybersecurity, Deep learning, Digital transformation, Driver Assistance, Driverless Cars, Entanglement, Ethereum, Explainable AI. Environment and sustainability, Facebook, Facial Recognition, Feedforward. Neural Networks, Fog Computing, Full Automation, General AI, Generative Adversarial Networks (GANs), Generative AI, Google, High Automation, Hybrid Blockchain, IEEE, IIoT, Industrial Internet of Things, Internet of Things, IoT, Jarvis, Long Short-Term Memory Networks, LTE, Machin Learning, Microsoft, Narrow AI, Natural Language Generation (NLG), Natural Language Processing (NLP), NetFlix, Network Security, Neural Networks, NYTimes, Open Source, Partial Automation, PayPal, Private Blockchain, Private Cloud Computing, Quantum Communications, Quantum Computing, Quantum Cryptography, Quantum Internet. Wearable Computing Devices (WCD). Autonomic Computing, Quantum Machine Learning (QML), R2D2, Reactive Machines . Limited Memory, Recurrent Neural Networks, Robots, Sci-Fi movies, Self-Aware, Siri, Small Data, Smart Contracts. Hybrid Cloud Computing, Smart Devices, Super AI, Superposition, Theory of Mind, Thick Data, Twitter, Variational Autoencoders (VAEs), Virtual Reality, Voice User Interface, VUI, Wearable Technology, Wi-Fi, Zero-Trust Model},
pubstate = {published},
tppubtype = {book}
}
Transformative AI provides a comprehensive overview of the latest trends, challenges, applications, and opportunities in the field of Artificial Intelligence. The book covers the state of the art in AI research, including machine learning, natural language processing, computer vision, and robotics, and explores how these technologies are transforming various industries and domains, such as healthcare, finance, education, and entertainment. The book also addresses the challenges that come with the widespread adoption of AI, including ethical concerns, bias, and the impact on jobs and society. It provides insights into how to mitigate these challenges and how to design AI systems that are responsible, transparent, and trustworthy. The book offers a forward-looking perspective on the future of AI, exploring the emerging trends and applications that are likely to shape the next decade of AI innovation. It also provides practical guidance for businesses and individuals on how to leverage the power of AI to create new products, services, and opportunities. Overall, the book is an essential read for anyone who wants to stay ahead of the curve in the rapidly evolving field of Artificial Intelligence and understand the impact that this transformative technology will have on our lives in the coming years. © 2024 River Publishers. All rights reserved.