SPChain: A Smart and Private Blockchain-Enabled Framework for Combining GDPR-Compliant Digital Assets Management With AI Models

Lee, Wei-Shan; John, A; Hsu, Hsiu-Chun; Hsiung, Pao-Ann

doi:10.1109/access.2022.3227969

Cited by 16 publications

(6 citation statements)

References 35 publications

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“…Data privacy laws worldwide are the first line of defense against the potential misuse of personal information by generative AI platforms [91]. Governments have introduced regulations like the General Data Protection Regulation (GDPR) [92] in the European Union, California Consumer Privacy Act (CCPA) [93] in the US, and other similar laws globally. These laws mandate that companies must handle personal data with transparency and obtain explicit consent from individuals for its use.…”

Section: ) Classical Data Protection Lawsmentioning

confidence: 99%

Privacy and Security Concerns in Generative AI: A Comprehensive Survey

Golda,

Mekonen,

Pandey

et al. 2024

IEEE Access

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Generative Artificial Intelligence (GAI) has sparked a transformative wave across various domains, including machine learning, healthcare, business, and entertainment, owing to its remarkable ability to generate lifelike data. This comprehensive survey offers a meticulous examination of the privacy and security challenges inherent to GAI. It provides five pivotal perspectives essential for a comprehensive understanding of these intricacies. The paper encompasses discussions on GAI architectures, diverse generative model types, practical applications, and recent advancements within the field. In addition, it highlights current security strategies and proposes sustainable solutions, emphasizing user, developer, institutional, and policymaker involvement.

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Section: ) Classical Data Protection Lawsmentioning

confidence: 99%

Privacy and Security Concerns in Generative AI: A Comprehensive Survey

Golda,

Mekonen,

Pandey

et al. 2024

IEEE Access

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show abstract

“…Additionally, every involved business must also be held accountable for compliance [61]. While experts still recommend using blockchain with smart contracts to create a decentralised IoT data marketplace, enabling policy-setting for accessing, storing, and sharing/transferring IoT data [45], [46], [52], [55], [58], [59], [68], [70], [71], [72], [73], however, it is essential to implement additional privacy-enhancing measures such as anonymisation, encryption, and differential privacy [9], [42], [48], [52], [62], [66], [68], [71], [74], [75], among others, to reinforce privacy protection. Data security measures, such as intrusion detection and threat analytics [45], [71], should also be made mandatory to overcome the privacy mechanism shortfalls in blockchain adoption.…”

Section: ) Potential Solutions For Challenges Identified Frommentioning

confidence: 99%

Regulatory Data Privacy Concerns in Proliferating IoT Era of Telecommunication Data Monetization: A Systematic Literature Review

Cheng,

Bilal

2024

Preprint

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“…However, Nguyen et al [15] pointed out that they solely employ conventional blockchain technology for handling MU identities and transactions, overlooking the distinct challenges posed by the metaverse, including its substantial resource requirements and scalability issues. Lee et al [19] proposed a blockchain-enabled digital asset management framework. They used blockchain for transparency and visibility of digital asset management.…”

Section: Related Workmentioning

confidence: 99%

“…However, their system did not show any characteristics of the metaverse. While they [14], [19], [21], [23] have conducted research to enhance the security of content trading within a metaverse, their focus is limited to a single metaverse and does not encompass the broader goal of enabling trading between different metaverse platforms, which is the ultimate objective of the metaverse.…”

Section: Related Workmentioning

confidence: 99%

A Secure Content Trading for Cross-Platform in the Metaverse With Blockchain and Searchable Encryption

Oh,

Kim,

Park

et al. 2023

IEEE Access

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In a rapidly evolving metaverse, where the physical and virtual realms naturally merge, users are actively participating in interactive experiences, content creation, and content trading, transcending spatial and temporal constraints. However, with the spread of the metaverse, security concerns have been raised about privacy and the integrity of digital transactions. Several studies have thus focused on enhancing the security and privacy in metaverse. However, there is still a lack of security research on content trading between metaverse platforms. Therefore, this paper proposes a secure content trading system for crossplatform interactions within the metaverse. Leveraging the blockchain technology, the proposed system delivers an ecosystem that ensures secure content management, data integrity, and verifiable transactions. We use smart contracts that enable reliable and automated purchase methods, empowering users and building their trust. In addition, we incorporate searchable encryption to further enhance the user experience within the metaverse by allowing avatars to seamlessly search for and obtain the desired content across different metaverse platforms. The security of the proposed scheme is comprehensively assessed via vulnerability analyses, including BAN logic and Scyther, to identify potential threats and vulnerabilities in various content trading scenarios. The security and performance of the proposed system are compared with those of the related schemes. Result reveals that the proposed scheme is robust and can be applied to content trading systems in dynamic and ever-expanding metaverse environments.INDEX TERMS Metaverse, content trading, cross-platform, interoperability, searchable encryption, blockchain.

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SPChain: A Smart and Private Blockchain-Enabled Framework for Combining GDPR-Compliant Digital Assets Management With AI Models

Cited by 16 publications

References 35 publications

Privacy and Security Concerns in Generative AI: A Comprehensive Survey

Privacy and Security Concerns in Generative AI: A Comprehensive Survey

Regulatory Data Privacy Concerns in Proliferating IoT Era of Telecommunication Data Monetization: A Systematic Literature Review

A Secure Content Trading for Cross-Platform in the Metaverse With Blockchain and Searchable Encryption

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