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.
2024
Cigliano, A.; Fallucchi, F.; Gerardi, M.
An Analysis of the State of Art of the Metaverse and Its Disruptive Impact on Services Proceedings Article
In: R., Fazzolari; A.A., Jaber; C., Randieri (Ed.): CEUR Workshop Proc., pp. 38–46, CEUR-WS, 2024, ISBN: 16130073 (ISSN).
Abstract | Links | BibTeX | Tags: AI: Artificial Intelligence, Artificial intelligence: artificial intelligence, Block-chain, Blockchain, DH: Digital Humanity, Digital humanities, Digital twin: digital twin, DT: Digital Twin, Economic and social effects, ER: Extended Reality, Extended reality: extended reality, GenI: Generative Artificial Intelligence, IoT, Language Model, LLM: Large Language Model, Metaverse, Metaverses, Natural language model, Nft, NLP: Natural Language Model, Quantum Computing, Virtual environments, VR: Virtual Reality
@inproceedings{cigliano_analysis_2024,
title = {An Analysis of the State of Art of the Metaverse and Its Disruptive Impact on Services},
author = {A. Cigliano and F. Fallucchi and M. Gerardi},
editor = {Fazzolari R. and Jaber A.A. and Randieri C.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213681173&partnerID=40&md5=cf59e812c4d5bdc51c9daae3eb7c0406},
isbn = {16130073 (ISSN)},
year = {2024},
date = {2024-01-01},
booktitle = {CEUR Workshop Proc.},
volume = {3869},
pages = {38–46},
publisher = {CEUR-WS},
abstract = {The metaverse is a virtual environment where individuals may connect with one another, partake in a variety of activities, and access digital content. It coexists with the real world and it has the potential to significantly affect daily life as well as a variety of services and applications as it develops. To understand the importance of the impacts of the metaverse in today’s society, just think of the disruptive technologies that enable it: Artificial Intelligence (AI), Extended Reality (ER), IoT, Digital Twin (DT) and Blockchain/NFT all with assistance with the availability of large, rich and structured/unstructured dataset and advanced computational models. Metaverse is cadidated (and not only) to redefine everyday life, designing activities and services/products provisioning towards increasing efficiencies, money saving and quality performance, with a big impact in everyone and helping the design and testing of next generation of internet. However, there still remain not only technical and interoperability issues but above all ethical, human, social, and cultural concerns as to the metaverse’s influence upon its prospective scope in reconstructing the quality of urban life. This paper undertakes an upper-level scientific literature review of the area of the metaverse from a broader perspective. Further, it maps the some services and the relative requirements for declinate the enabling technologies of the metaverse, and explores their contributions. © 2024 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).},
keywords = {AI: Artificial Intelligence, Artificial intelligence: artificial intelligence, Block-chain, Blockchain, DH: Digital Humanity, Digital humanities, Digital twin: digital twin, DT: Digital Twin, Economic and social effects, ER: Extended Reality, Extended reality: extended reality, GenI: Generative Artificial Intelligence, IoT, Language Model, LLM: Large Language Model, Metaverse, Metaverses, Natural language model, Nft, NLP: Natural Language Model, Quantum Computing, Virtual environments, VR: Virtual Reality},
pubstate = {published},
tppubtype = {inproceedings}
}
The metaverse is a virtual environment where individuals may connect with one another, partake in a variety of activities, and access digital content. It coexists with the real world and it has the potential to significantly affect daily life as well as a variety of services and applications as it develops. To understand the importance of the impacts of the metaverse in today’s society, just think of the disruptive technologies that enable it: Artificial Intelligence (AI), Extended Reality (ER), IoT, Digital Twin (DT) and Blockchain/NFT all with assistance with the availability of large, rich and structured/unstructured dataset and advanced computational models. Metaverse is cadidated (and not only) to redefine everyday life, designing activities and services/products provisioning towards increasing efficiencies, money saving and quality performance, with a big impact in everyone and helping the design and testing of next generation of internet. However, there still remain not only technical and interoperability issues but above all ethical, human, social, and cultural concerns as to the metaverse’s influence upon its prospective scope in reconstructing the quality of urban life. This paper undertakes an upper-level scientific literature review of the area of the metaverse from a broader perspective. Further, it maps the some services and the relative requirements for declinate the enabling technologies of the metaverse, and explores their contributions. © 2024 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
Bandara, E.; Foytik, P.; Shetty, S.; Hassanzadeh, A.
Generative-AI(with Custom-Trained Meta's Llama2 LLM), Blockchain, NFT, Federated Learning and PBOM Enabled Data Security Architecture for Metaverse on 5G/6G Environment Proceedings Article
In: Proc. - IEEE Int. Conf. Mob. Ad-Hoc Smart Syst., MASS, pp. 118–124, Institute of Electrical and Electronics Engineers Inc., 2024, ISBN: 979-835036399-9 (ISBN).
Abstract | Links | BibTeX | Tags: 5G, 6G, Adversarial machine learning, Bill of materials, Block-chain, Blockchain, Curricula, Data privacy, Distance education, Federated learning, Generative adversarial networks, Generative-AI, Hardware security, Llama2, LLM, Medium access control, Metaverse, Metaverses, Network Security, Nft, Non-fungible token, Personnel training, Problem oriented languages, Reference architecture, Steganography
@inproceedings{bandara_generative-aicustom-trained_2024,
title = {Generative-AI(with Custom-Trained Meta's Llama2 LLM), Blockchain, NFT, Federated Learning and PBOM Enabled Data Security Architecture for Metaverse on 5G/6G Environment},
author = {E. Bandara and P. Foytik and S. Shetty and A. Hassanzadeh},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210243120&doi=10.1109%2fMASS62177.2024.00026&partnerID=40&md5=70d21ac1e9c7b886da14825376919cac},
doi = {10.1109/MASS62177.2024.00026},
isbn = {979-835036399-9 (ISBN)},
year = {2024},
date = {2024-01-01},
booktitle = {Proc. - IEEE Int. Conf. Mob. Ad-Hoc Smart Syst., MASS},
pages = {118–124},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {The Metaverse is an integrated network of 3D virtual worlds accessible through a virtual reality headset. Its impact on data privacy and security is increasingly recognized as a major concern. There is a growing interest in developing a reference architecture that describes the four core aspects of its data: acquisition, storage, sharing, and interoperability. Establishing a secure data architecture is imperative to manage users' personal data and facilitate trusted AR/VR and AI/ML solutions within the Metaverse. This paper details a reference architecture empowered by Generative-AI, Blockchain, Federated Learning, and Non-Fungible Tokens (NFTs). Within this archi-tecture, various resource providers collaborate via the blockchain network. Handling personal user data and resource provider identities is executed through a Self-Sovereign Identity-enabled privacy-preserving framework. AR/NR devices in the Metaverse are represented as NFT tokens available for user purchase. Software updates and supply-chain verification for these devices are managed using a Software Bill of Materials (SBOM) and a Pipeline Bill of Materials (PBOM) verification system. Moreover, a custom-trained Llama2 LLM from Meta has been integrated to generate PBOMs for AR/NR devices' software updates, thereby preventing malware intrusions and data breaches. This Llama2-13B LLM has been quantized and fine-tuned using Qlora to ensure optimal performance on consumer-grade hardware. The provenance of AI/ML models used in the Metaverse is encapsu-lated as Model Card objects, allowing external parties to audit and verify them, thus mitigating adversarial learning attacks within these models. To the best of our knowledge, this is the very first research effort aimed at standardizing PBOM schemas and integrating Language Model algorithms for the generation of PBOMs. Additionally, a proposed mechanism facilitates different AI/ML providers in training their machine learning models using a privacy-preserving federated learning approach. Authorization of communications among AR/VR devices in the Metaverse is conducted through a Zero-Trust security-enabled rule engine. A system testbed has been implemented within a 5G environment, utilizing Ericsson new Radio with Open5GS 5G core. © 2024 IEEE.},
keywords = {5G, 6G, Adversarial machine learning, Bill of materials, Block-chain, Blockchain, Curricula, Data privacy, Distance education, Federated learning, Generative adversarial networks, Generative-AI, Hardware security, Llama2, LLM, Medium access control, Metaverse, Metaverses, Network Security, Nft, Non-fungible token, Personnel training, Problem oriented languages, Reference architecture, Steganography},
pubstate = {published},
tppubtype = {inproceedings}
}
The Metaverse is an integrated network of 3D virtual worlds accessible through a virtual reality headset. Its impact on data privacy and security is increasingly recognized as a major concern. There is a growing interest in developing a reference architecture that describes the four core aspects of its data: acquisition, storage, sharing, and interoperability. Establishing a secure data architecture is imperative to manage users' personal data and facilitate trusted AR/VR and AI/ML solutions within the Metaverse. This paper details a reference architecture empowered by Generative-AI, Blockchain, Federated Learning, and Non-Fungible Tokens (NFTs). Within this archi-tecture, various resource providers collaborate via the blockchain network. Handling personal user data and resource provider identities is executed through a Self-Sovereign Identity-enabled privacy-preserving framework. AR/NR devices in the Metaverse are represented as NFT tokens available for user purchase. Software updates and supply-chain verification for these devices are managed using a Software Bill of Materials (SBOM) and a Pipeline Bill of Materials (PBOM) verification system. Moreover, a custom-trained Llama2 LLM from Meta has been integrated to generate PBOMs for AR/NR devices' software updates, thereby preventing malware intrusions and data breaches. This Llama2-13B LLM has been quantized and fine-tuned using Qlora to ensure optimal performance on consumer-grade hardware. The provenance of AI/ML models used in the Metaverse is encapsu-lated as Model Card objects, allowing external parties to audit and verify them, thus mitigating adversarial learning attacks within these models. To the best of our knowledge, this is the very first research effort aimed at standardizing PBOM schemas and integrating Language Model algorithms for the generation of PBOMs. Additionally, a proposed mechanism facilitates different AI/ML providers in training their machine learning models using a privacy-preserving federated learning approach. Authorization of communications among AR/VR devices in the Metaverse is conducted through a Zero-Trust security-enabled rule engine. A system testbed has been implemented within a 5G environment, utilizing Ericsson new Radio with Open5GS 5G core. © 2024 IEEE.