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 use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2025
Zhang, Z.; Wang, J.; Chen, J.; Fang, Z.; Jiang, C.; Han, Z.
A Priority-Aware AI-Generated Content Resource Allocation Method for Multi-UAV Aided Metaverse Proceedings Article
In: IEEE Wireless Commun. Networking Conf. WCNC, Institute of Electrical and Electronics Engineers Inc., 2025, ISBN: 15253511 (ISSN); 979-835036836-9 (ISBN).
Abstract | Links | BibTeX | Tags: Aerial vehicle, AI-generated content, AI-generated content (AIGC), Allocation methods, Content-resources, Diffusion Model, Drones, Metaverse, Metaverses, Priority-aware, Reinforcement Learning, Reinforcement learnings, Resource allocation, Resources allocation, Target drones, Unmanned aerial vehicle, Unmanned aerial vehicle (UAV)
@inproceedings{zhang_priority-aware_2025,
title = {A Priority-Aware AI-Generated Content Resource Allocation Method for Multi-UAV Aided Metaverse},
author = {Z. Zhang and J. Wang and J. Chen and Z. Fang and C. Jiang and Z. Han},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105006408540&doi=10.1109%2fWCNC61545.2025.10978443&partnerID=40&md5=69937c6fa9be1a038b28e7884dfe586b},
doi = {10.1109/WCNC61545.2025.10978443},
isbn = {15253511 (ISSN); 979-835036836-9 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {IEEE Wireless Commun. Networking Conf. WCNC},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {With the advancement of large model technologies, AI -generated content is gradually emerging as a mainstream method for content creation. The metaverse, as a key application scenario for the next-generation communication technologies, heavily depends on advanced content generation technologies. Nevertheless, the diverse types of metaverse applications and their stringent real-time requirements constrain the full potential of AIGC technologies within this environment. In order to tackle with this problem, we construct a priority-aware multi-UAV aided metaverse system and formulate it as a Markov decision process (MDP). We propose a diffusion-based reinforcement learning algorithm to solve the resource allocation problem and demonstrate its superiority through enough comparison and ablation experiments. © 2025 IEEE.},
keywords = {Aerial vehicle, AI-generated content, AI-generated content (AIGC), Allocation methods, Content-resources, Diffusion Model, Drones, Metaverse, Metaverses, Priority-aware, Reinforcement Learning, Reinforcement learnings, Resource allocation, Resources allocation, Target drones, Unmanned aerial vehicle, Unmanned aerial vehicle (UAV)},
pubstate = {published},
tppubtype = {inproceedings}
}
With the advancement of large model technologies, AI -generated content is gradually emerging as a mainstream method for content creation. The metaverse, as a key application scenario for the next-generation communication technologies, heavily depends on advanced content generation technologies. Nevertheless, the diverse types of metaverse applications and their stringent real-time requirements constrain the full potential of AIGC technologies within this environment. In order to tackle with this problem, we construct a priority-aware multi-UAV aided metaverse system and formulate it as a Markov decision process (MDP). We propose a diffusion-based reinforcement learning algorithm to solve the resource allocation problem and demonstrate its superiority through enough comparison and ablation experiments. © 2025 IEEE.
AlJadaan, O.; Ibrahim, O.; Ani, N. N. Al; Jabas, A.; Alfaress, M.
Navigating Intellectual Property Rights in the Age of AI and the Metaverse Book Section
In: Studies in Systems, Decision and Control, vol. 234, pp. 219–228, Springer Science and Business Media Deutschland GmbH, 2025, ISBN: 21984182 (ISSN).
Abstract | Links | BibTeX | Tags: AI-generated content, Artificial intelligence, Authorship, Blockchain, Copyright law, Creative industries, Cross-jurisdictional issues, Digital assets, Ethical implications, Intellectual property, IP enforcement, Legal frameworks, Metaverse, Non-fungible tokens (NFTs), Ownership, Patent law, Smart contracts, Virtual goods
@incollection{aljadaan_navigating_2025,
title = {Navigating Intellectual Property Rights in the Age of AI and the Metaverse},
author = {O. AlJadaan and O. Ibrahim and N. N. Al Ani and A. Jabas and M. Alfaress},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105003758740&doi=10.1007%2f978-3-031-84636-6_18&partnerID=40&md5=f23526f6ff8a70c783074256ca6351a8},
doi = {10.1007/978-3-031-84636-6_18},
isbn = {21984182 (ISSN)},
year = {2025},
date = {2025-01-01},
booktitle = {Studies in Systems, Decision and Control},
volume = {234},
pages = {219–228},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {The paper examines the challenges that Intellectual Property (IP) rights pose within artificial intelligence (AI) and further into the Metaverse, the constantly developing virtual world wherein one is allowed to create, trade, and own digital assets. The increasing development of AI-generated content and virtual environments has also challenged the traditional notion of authorship and ownership and, thus, to the existing regimes regulating IP. This paper discusses the current legal framework, case studies on AI-generated content, and IP use in Metaverse through smart contracts and blockchain technology. Moreover, this paper examines the ethics involved in such development and public policy reforms that can be implemented in the IP law relating to this evolving technology. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.},
keywords = {AI-generated content, Artificial intelligence, Authorship, Blockchain, Copyright law, Creative industries, Cross-jurisdictional issues, Digital assets, Ethical implications, Intellectual property, IP enforcement, Legal frameworks, Metaverse, Non-fungible tokens (NFTs), Ownership, Patent law, Smart contracts, Virtual goods},
pubstate = {published},
tppubtype = {incollection}
}
The paper examines the challenges that Intellectual Property (IP) rights pose within artificial intelligence (AI) and further into the Metaverse, the constantly developing virtual world wherein one is allowed to create, trade, and own digital assets. The increasing development of AI-generated content and virtual environments has also challenged the traditional notion of authorship and ownership and, thus, to the existing regimes regulating IP. This paper discusses the current legal framework, case studies on AI-generated content, and IP use in Metaverse through smart contracts and blockchain technology. Moreover, this paper examines the ethics involved in such development and public policy reforms that can be implemented in the IP law relating to this evolving technology. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
2024
Truong, V. T.; Le, H. D.; Le, L. B.
Trust-Free Blockchain Framework for AI-Generated Content Trading and Management in Metaverse Journal Article
In: IEEE Access, vol. 12, pp. 41815–41828, 2024, ISSN: 21693536 (ISSN).
Abstract | Links | BibTeX | Tags: AI-generated content, AI-generated content (AIGC), Artificial intelligence, Asset management, Assets management, Block-chain, Blockchain, Commerce, Content distribution networks, Cyber-attacks, Decentralised, Decentralized application, Digital asset management, Digital system, Generative AI, Metaverse, Metaverses, Plagiarism, Security, Trustless service, Virtual Reality
@article{truong_trust-free_2024,
title = {Trust-Free Blockchain Framework for AI-Generated Content Trading and Management in Metaverse},
author = {V. T. Truong and H. D. Le and L. B. Le},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188472793&doi=10.1109%2fACCESS.2024.3376509&partnerID=40&md5=301939c1faef0c5a7b56d9feadce27ee},
doi = {10.1109/ACCESS.2024.3376509},
issn = {21693536 (ISSN)},
year = {2024},
date = {2024-01-01},
journal = {IEEE Access},
volume = {12},
pages = {41815–41828},
abstract = {The rapid development of the metaverse and generative Artificial Intelligence (GAI) has led to the emergence of AI-Generated Content (AIGC). Unlike real-world products, AIGCs are represented as digital files, thus vulnerable to plagiarism and leakage on the Internet. In addition, the trading of AIGCs in the virtual world is prone to various trust issues between the involved participants. For example, some customers may try to avoid the payment after receiving the desired AIGC products, or the content sellers refuse to grant the products after obtaining the license fee. Existing digital asset management (DAM) systems often rely on a trusted third-party authority to mitigate these issues. However, this might lead to centralization problems such as the single-point-of-failure (SPoF) when the third parties are under attacks or being malicious. In this paper, we propose MetaTrade, a blockchain-empowered DAM framework that is designed to tackle these urgent trust issues, offering secured AIGC trading and management in the trustless metaverse environment. MetaTrade eliminates the role of the trusted third party, without requiring trust assumptions among participants. Numerical results show that MetaTrade offers higher performance and lower trading cost compared to existing platforms, while security analysis reveals that the framework is resilient against plagiarism, SPoF, and trust-related attacks. To showcase the feasibility of the design, a decentralized application (DApp) has been built on top of MetaTrade as a marketplace for metaverse AIGCs. © 2013 IEEE.},
keywords = {AI-generated content, AI-generated content (AIGC), Artificial intelligence, Asset management, Assets management, Block-chain, Blockchain, Commerce, Content distribution networks, Cyber-attacks, Decentralised, Decentralized application, Digital asset management, Digital system, Generative AI, Metaverse, Metaverses, Plagiarism, Security, Trustless service, Virtual Reality},
pubstate = {published},
tppubtype = {article}
}
The rapid development of the metaverse and generative Artificial Intelligence (GAI) has led to the emergence of AI-Generated Content (AIGC). Unlike real-world products, AIGCs are represented as digital files, thus vulnerable to plagiarism and leakage on the Internet. In addition, the trading of AIGCs in the virtual world is prone to various trust issues between the involved participants. For example, some customers may try to avoid the payment after receiving the desired AIGC products, or the content sellers refuse to grant the products after obtaining the license fee. Existing digital asset management (DAM) systems often rely on a trusted third-party authority to mitigate these issues. However, this might lead to centralization problems such as the single-point-of-failure (SPoF) when the third parties are under attacks or being malicious. In this paper, we propose MetaTrade, a blockchain-empowered DAM framework that is designed to tackle these urgent trust issues, offering secured AIGC trading and management in the trustless metaverse environment. MetaTrade eliminates the role of the trusted third party, without requiring trust assumptions among participants. Numerical results show that MetaTrade offers higher performance and lower trading cost compared to existing platforms, while security analysis reveals that the framework is resilient against plagiarism, SPoF, and trust-related attacks. To showcase the feasibility of the design, a decentralized application (DApp) has been built on top of MetaTrade as a marketplace for metaverse AIGCs. © 2013 IEEE.
Lin, Y.; Gao, Z.; Du, H.; Niyato, D.; Kang, J.; Xiong, Z.; Zheng, Z.
Blockchain-Based Efficient and Trustworthy AIGC Services in Metaverse Journal Article
In: IEEE Transactions on Services Computing, vol. 17, no. 5, pp. 2067–2079, 2024, ISSN: 19391374 (ISSN).
Abstract | Links | BibTeX | Tags: AI-generated content, Block-chain, Blockchain, Computational modelling, Content services, Data Mining, Digital contents, Information Management, Metaverse, Metaverses, Resource management, Semantic communication, Semantics, Virtual Reality
@article{lin_blockchain-based_2024,
title = {Blockchain-Based Efficient and Trustworthy AIGC Services in Metaverse},
author = {Y. Lin and Z. Gao and H. Du and D. Niyato and J. Kang and Z. Xiong and Z. Zheng},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189177655&doi=10.1109%2fTSC.2024.3382958&partnerID=40&md5=5e3e80fbc88a49293b892acd762af3e9},
doi = {10.1109/TSC.2024.3382958},
issn = {19391374 (ISSN)},
year = {2024},
date = {2024-01-01},
journal = {IEEE Transactions on Services Computing},
volume = {17},
number = {5},
pages = {2067–2079},
abstract = {AI-Generated Content (AIGC) services are essential in developing the Metaverse, providing various digital content to build shared virtual environments. The services can also offer personalized content with user assistance, making the Metaverse more human-centric. However, user-assisted content creation requires significant communication resources to exchange data and construct trust among unknown Metaverse participants, which challenges the traditional centralized communication paradigm. To address the above challenge, we integrate blockchain with semantic communication to establish decentralized trust among participants, reducing communication overhead and improving trustworthiness for AIGC services in Metaverse. To solve the out-of-distribution issue in data provided by users, we utilize the invariant risk minimization method to extract invariant semantic information across multiple virtual environments. To guarantee trustworthiness of digital contents, we also design a smart contract-based verification mechanism to prevent random outcomes of AIGC services. We utilize semantic information and quality of digital contents provided by the above mechanisms as metrics to develop a Stackelberg game-based content caching mechanism, which can maximize the profits of Metaverse participants. Simulation results show that the proposed semantic extraction and caching mechanism can improve accuracy by almost 15% and utility by 30% compared to other mechanisms. © 2008-2012 IEEE.},
keywords = {AI-generated content, Block-chain, Blockchain, Computational modelling, Content services, Data Mining, Digital contents, Information Management, Metaverse, Metaverses, Resource management, Semantic communication, Semantics, Virtual Reality},
pubstate = {published},
tppubtype = {article}
}
AI-Generated Content (AIGC) services are essential in developing the Metaverse, providing various digital content to build shared virtual environments. The services can also offer personalized content with user assistance, making the Metaverse more human-centric. However, user-assisted content creation requires significant communication resources to exchange data and construct trust among unknown Metaverse participants, which challenges the traditional centralized communication paradigm. To address the above challenge, we integrate blockchain with semantic communication to establish decentralized trust among participants, reducing communication overhead and improving trustworthiness for AIGC services in Metaverse. To solve the out-of-distribution issue in data provided by users, we utilize the invariant risk minimization method to extract invariant semantic information across multiple virtual environments. To guarantee trustworthiness of digital contents, we also design a smart contract-based verification mechanism to prevent random outcomes of AIGC services. We utilize semantic information and quality of digital contents provided by the above mechanisms as metrics to develop a Stackelberg game-based content caching mechanism, which can maximize the profits of Metaverse participants. Simulation results show that the proposed semantic extraction and caching mechanism can improve accuracy by almost 15% and utility by 30% compared to other mechanisms. © 2008-2012 IEEE.
Yang, S.; Tsui, Y. H.; Wang, X.; Alhilal, A.; Mogavi, R. H.; Wang, X.; Hui, P.
From Prompt to Metaverse: User Perceptions of Personalized Spaces Crafted by Generative AI Proceedings Article
In: M., Bernstein; A., Bruckman; U., Gadiraju; A., Halfaker; X., Ma; F., Pinatti; M., Redi; D., Ribes; S., Savage; A., Zhang (Ed.): Proc. ACM Conf. Comput. Support. Coop. Work CSCW, pp. 497–504, Association for Computing Machinery, 2024, ISBN: 979-840071114-5 (ISBN).
Abstract | Links | BibTeX | Tags: AI-generated content, Content creation, Generation tools, Generative adversarial networks, generative artificial intelligence, HCI, Metaverse, Metaverses, Personalization, Personalizations, Space generation, User perceptions, Virtual environments, Virtual Reality, Virtual spaces
@inproceedings{yang_prompt_2024,
title = {From Prompt to Metaverse: User Perceptions of Personalized Spaces Crafted by Generative AI},
author = {S. Yang and Y. H. Tsui and X. Wang and A. Alhilal and R. H. Mogavi and X. Wang and P. Hui},
editor = {Bernstein M. and Bruckman A. and Gadiraju U. and Halfaker A. and Ma X. and Pinatti F. and Redi M. and Ribes D. and Savage S. and Zhang A.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214583858&doi=10.1145%2f3678884.3681897&partnerID=40&md5=c914b32a0cee1520712062e6ec35eb3a},
doi = {10.1145/3678884.3681897},
isbn = {979-840071114-5 (ISBN)},
year = {2024},
date = {2024-01-01},
booktitle = {Proc. ACM Conf. Comput. Support. Coop. Work CSCW},
pages = {497–504},
publisher = {Association for Computing Machinery},
abstract = {Generative artificial intelligence (AI) has revolutionized content creation. In parallel, the Metaverse has emerged to transcend the constraints of our physical reality. While Generative AI has a multitude of exciting applications for the fields of writing, coding, and graphic design, its usage to personalize our virtual space has not yet been explored. In this paper, we investigate the application of Artificial Intelligence Generated Content (AIGC) to personalize our virtual spaces and enhance the metaverse experience. To this end, we present a pipeline to enable users to customize their virtual spaces. Moreover, we explore the hardware resources and latency required for personalized spaces, as well as user acceptance of the AI-generated spaces. Comprehensive user studies follow extensive system experiments. Our research evaluates users' perceptions of two generated spaces: panoramic images and 3D virtual spaces. According to our findings, users have shown a great interest in 3D personalized spaces, and the practicality and immersion of 3D space generation tools surpass panoramic space generation tools. © 2024 ACM.},
keywords = {AI-generated content, Content creation, Generation tools, Generative adversarial networks, generative artificial intelligence, HCI, Metaverse, Metaverses, Personalization, Personalizations, Space generation, User perceptions, Virtual environments, Virtual Reality, Virtual spaces},
pubstate = {published},
tppubtype = {inproceedings}
}
Generative artificial intelligence (AI) has revolutionized content creation. In parallel, the Metaverse has emerged to transcend the constraints of our physical reality. While Generative AI has a multitude of exciting applications for the fields of writing, coding, and graphic design, its usage to personalize our virtual space has not yet been explored. In this paper, we investigate the application of Artificial Intelligence Generated Content (AIGC) to personalize our virtual spaces and enhance the metaverse experience. To this end, we present a pipeline to enable users to customize their virtual spaces. Moreover, we explore the hardware resources and latency required for personalized spaces, as well as user acceptance of the AI-generated spaces. Comprehensive user studies follow extensive system experiments. Our research evaluates users' perceptions of two generated spaces: panoramic images and 3D virtual spaces. According to our findings, users have shown a great interest in 3D personalized spaces, and the practicality and immersion of 3D space generation tools surpass panoramic space generation tools. © 2024 ACM.
2023
Friess, P.
THE_OTHERVERSE - A Contemporary Cabinet Of Curiosities Proceedings Article
In: D., Byrne; N., Martelaro (Ed.): DIS Companion: Companion Publ. ACM Des Interact. Syst. Conf., pp. 50–54, Association for Computing Machinery, Inc, 2023, ISBN: 978-145039898-5 (ISBN).
Abstract | Links | BibTeX | Tags: 'current, AI-generated content, Algorithmic energy, Algorithmics, Arts computing, Energy, Form of existences, Image enhancement, Interactive computer graphics, Metaverse, Metaverses, Other verse, Other verses, Resilience, Virtual Reality, Virtual worlds
@inproceedings{friess_the_otherverse_2023,
title = {THE_OTHERVERSE - A Contemporary Cabinet Of Curiosities},
author = {P. Friess},
editor = {Byrne D. and Martelaro N.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167658209&doi=10.1145%2f3563703.3596803&partnerID=40&md5=d68cab2e32a1581efd5b734b67b0f88b},
doi = {10.1145/3563703.3596803},
isbn = {978-145039898-5 (ISBN)},
year = {2023},
date = {2023-01-01},
booktitle = {DIS Companion: Companion Publ. ACM Des Interact. Syst. Conf.},
pages = {50–54},
publisher = {Association for Computing Machinery, Inc},
abstract = {THE_OTHERVERSE is an artwork exploring resilience as a proactive artistic attitude. Inspired by the revisited idea of a "Wunderkammer"for multidisciplinary exploration and as a representation of microcosms of the world, the artwork features a contemporary cabinet of curiosities with AI-generated content of other forms of existence and expands the current Metaverse paradigm including emphasizing algorithm energy sound and rhythm. The research-creation process includes storytelling, object creation, virtual environment design, sound creation, and image enhancement, blending the aesthetics of the obtained results with the tools used for the creation. Understanding and interacting with AI as a creative partner opens up new possibilities for future research-creation, both for the research part in providing collective knowledge as for the creation part to propose a machine-thinking inspired recombination of ideas. Resilience is not only achieved by how we respond to bad things, but also how we broaden our possibilities (https://vimeo.com/petermfriess/the-otherverse). © 2023 ACM.},
keywords = {'current, AI-generated content, Algorithmic energy, Algorithmics, Arts computing, Energy, Form of existences, Image enhancement, Interactive computer graphics, Metaverse, Metaverses, Other verse, Other verses, Resilience, Virtual Reality, Virtual worlds},
pubstate = {published},
tppubtype = {inproceedings}
}
THE_OTHERVERSE is an artwork exploring resilience as a proactive artistic attitude. Inspired by the revisited idea of a "Wunderkammer"for multidisciplinary exploration and as a representation of microcosms of the world, the artwork features a contemporary cabinet of curiosities with AI-generated content of other forms of existence and expands the current Metaverse paradigm including emphasizing algorithm energy sound and rhythm. The research-creation process includes storytelling, object creation, virtual environment design, sound creation, and image enhancement, blending the aesthetics of the obtained results with the tools used for the creation. Understanding and interacting with AI as a creative partner opens up new possibilities for future research-creation, both for the research part in providing collective knowledge as for the creation part to propose a machine-thinking inspired recombination of ideas. Resilience is not only achieved by how we respond to bad things, but also how we broaden our possibilities (https://vimeo.com/petermfriess/the-otherverse). © 2023 ACM.
Lin, Y.; Gao, Z.; Du, H.; Niyato, D.
Blockchain-Aided AI-Generated Content Services: Stackelberg Game-Based Content Caching Approach Proceedings Article
In: C., Ardagna; B., Benatallah; H., Bian; C.K., Chang; R.N., Chang; J., Fan; G.C., Fox; Z., Jin; X., Liu; H., Ludwig; M., Sheng; J., Yang (Ed.): Proc. - IEEE Int. Conf. Web Serv., ICWS, pp. 186–195, Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 979-835030485-5 (ISBN).
Abstract | Links | BibTeX | Tags: AI-generated content, Block-chain, Blockchain, Caching mechanism, Content caching, Content services, Digital contents, Game-Based, Metaverse, Metaverses, Shared virtual environments, Stackelberg Games, Virtual Reality
@inproceedings{lin_blockchain-aided_2023,
title = {Blockchain-Aided AI-Generated Content Services: Stackelberg Game-Based Content Caching Approach},
author = {Y. Lin and Z. Gao and H. Du and D. Niyato},
editor = {Ardagna C. and Benatallah B. and Bian H. and Chang C.K. and Chang R.N. and Fan J. and Fox G.C. and Jin Z. and Liu X. and Ludwig H. and Sheng M. and Yang J.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173901801&doi=10.1109%2fICWS60048.2023.00038&partnerID=40&md5=3a323f44b98bd9e7a86a22523efcd488},
doi = {10.1109/ICWS60048.2023.00038},
isbn = {979-835030485-5 (ISBN)},
year = {2023},
date = {2023-01-01},
booktitle = {Proc. - IEEE Int. Conf. Web Serv., ICWS},
pages = {186–195},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {AI-Generated Content (AIGC) services are essential in developing the Metaverse, providing various digital content to build shared virtual environments. AIGC services can offer personalized content with user assistance, making the Metaverse more human-centric. However, it is difficult for participants to exchange data and construct trust among unknown Metaverse participants. To address the above challenge, we propose an integration of blockchain and AIGC to construct decentralized trust among participants. We design a smart contract-based verification mechanism to prevent random outcomes of AIGC services and guarantee the authenticity of digital contents. Given the quality of digital contents provided by the previous mechanisms, we then utilize them as metrics to establish a Stackelberg game-based content caching mechanism to maximize Metaverse participants' profits. Simulation results show that the proposed caching mechanism can improve utility by 30% compared to other mechanisms. © 2023 IEEE.},
keywords = {AI-generated content, Block-chain, Blockchain, Caching mechanism, Content caching, Content services, Digital contents, Game-Based, Metaverse, Metaverses, Shared virtual environments, Stackelberg Games, Virtual Reality},
pubstate = {published},
tppubtype = {inproceedings}
}
AI-Generated Content (AIGC) services are essential in developing the Metaverse, providing various digital content to build shared virtual environments. AIGC services can offer personalized content with user assistance, making the Metaverse more human-centric. However, it is difficult for participants to exchange data and construct trust among unknown Metaverse participants. To address the above challenge, we propose an integration of blockchain and AIGC to construct decentralized trust among participants. We design a smart contract-based verification mechanism to prevent random outcomes of AIGC services and guarantee the authenticity of digital contents. Given the quality of digital contents provided by the previous mechanisms, we then utilize them as metrics to establish a Stackelberg game-based content caching mechanism to maximize Metaverse participants' profits. Simulation results show that the proposed caching mechanism can improve utility by 30% compared to other mechanisms. © 2023 IEEE.
Basyoni, L.; Qadir, J.
AI Generated Content in the Metaverse: Risks and Mitigation Strategies Proceedings Article
In: Int. Symp. Networks, Comput. Commun., ISNCC, Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 979-835033559-0 (ISBN).
Abstract | Links | BibTeX | Tags: AI-generated content, Content creation, Content integrity, Detection methods, Metaverse, Metaverses, Mitigation strategy, Privacy threats, Risk strategies, Security and privacy, Security threats
@inproceedings{basyoni_ai_2023,
title = {AI Generated Content in the Metaverse: Risks and Mitigation Strategies},
author = {L. Basyoni and J. Qadir},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179838633&doi=10.1109%2fISNCC58260.2023.10323860&partnerID=40&md5=8cd3943a54210ed3027f856436c687b8},
doi = {10.1109/ISNCC58260.2023.10323860},
isbn = {979-835033559-0 (ISBN)},
year = {2023},
date = {2023-01-01},
booktitle = {Int. Symp. Networks, Comput. Commun., ISNCC},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {The Metaverse has introduced a vast virtual environment where Artificial Intelligence Generated Content (AIGC) plays a crucial role in content creation. However, the increasing popularity of AIGC has raised concerns regarding its potential misuse and the need for effective detection methods to ensure content integrity. Security and privacy threats in the Metaverse have garnered significant attention, but the specific risks of AIGC in this context remain understudied. This paper aims to analyze the potential risks of AIGC in the Metaverse and explore mitigation techniques. By addressing these challenges, the paper contributes to a comprehensive understanding of AIGC's implications in the Metaverse. © 2023 IEEE.},
keywords = {AI-generated content, Content creation, Content integrity, Detection methods, Metaverse, Metaverses, Mitigation strategy, Privacy threats, Risk strategies, Security and privacy, Security threats},
pubstate = {published},
tppubtype = {inproceedings}
}
The Metaverse has introduced a vast virtual environment where Artificial Intelligence Generated Content (AIGC) plays a crucial role in content creation. However, the increasing popularity of AIGC has raised concerns regarding its potential misuse and the need for effective detection methods to ensure content integrity. Security and privacy threats in the Metaverse have garnered significant attention, but the specific risks of AIGC in this context remain understudied. This paper aims to analyze the potential risks of AIGC in the Metaverse and explore mitigation techniques. By addressing these challenges, the paper contributes to a comprehensive understanding of AIGC's implications in the Metaverse. © 2023 IEEE.