Special issue on social network security and privacy

Kutyłowski, Mirosław; Wang, Yu; Xu, Shouhuai; Yang, Laurence T.

doi:10.1002/cpe.4414

Concurrency and Computation

2018

DOI: 10.1002/cpe.4414

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Special issue on social network security and privacy

Mirosław Kutyłowski

Yu Wang

Shouhuai Xu

et al.

Abstract: This special issue contains 28 full papers selected from the Computer Animation

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SIoT identity management with the ability to preserve owner privacy and built‐in resistance to Sybil attacks

Dayyani,

Abbaspour

2024

Concurrency and Computation

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SummaryThe Social Internet of Things (SIoT) allows for more efficient and intelligent communication between entities (humans and objects). Managing the digital identity of objects, protecting the owner's privacy, and resisting impersonation attacks are crucial challenges in SIoT. On the other hand, the classic centralized identity provider servers contain valuable information for hackers and malicious parties. Effective solutions can be presented using decentralized technologies such as blockchains. This paper proposes a decentralized identity management system for SIoT based on smart contract technology. This system drives object identity control; conversely, a zero‐knowledge‐based protocol and double‐spend prevention ideas are proposed for privacy preservation and Sybil attack resistance, respectively. The central idea is to implement self‐sovereign identity (SSI) so that even certifiers are not privy to object‐sensitive information. Additionally, it attempts to prevent the owner from creating Sybil objects using the web of trust method. The method's scalability and convergence can be proven by considering all acknowledgment nodes and different paths. This method was compared with the most novel available methods; the results from this comparison depict the scalability and effectiveness of the proposed method for large networks.

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SIoT identity management with the ability to preserve owner privacy and built‐in resistance to Sybil attacks

Dayyani,

Abbaspour

2024

Concurrency and Computation

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Dare‐to‐Share: Collaborative privacy‐preserving recommendations with (almost) no crypto

Russo

Bracciale

Bianchi

2021

Security and Privacy

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Collaborative recommending systems aim to predict a potential user‐item rating on the basis of remaining ones. Since, in several contexts, sharing of other users' ratings may be prevented by confidentiality concerns, several works have effectively addressed the design of privacy preserving recommenders. Still, most of the proposed solutions rely on advanced cryptographic methodologies, whose may conflict with the simplicity and viability requirements of real world deployments. In contrast, we propose an approach which does not require any complex cryptography. We show that whenever we can tolerate recommendations based on average values, we can transform the recommender into a privacy‐preserving one, by using two noncolluding replicas of the same system, and by distributing randomly “blinded” data to these replicas. To protecting each user's rating, a key asset of our approach is the ability to conceal which specific items are rated by which users. Our proposal is secure under the honest‐but‐curious attacker's assumption, and we show how it can be extended to guarantee robustness also against malicious adversaries. Finally, as a proof‐of‐concept, we present an implementation of the proposed approach for our motivating use case—collaborative assessment of computer/network vulnerabilities without revealing which of them affect one own infrastructure.

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Special issue on social network security and privacy

Abstract: This special issue contains 28 full papers selected from the Computer Animation

Cited by 2 publications

References 8 publications

SIoT identity management with the ability to preserve owner privacy and built‐in resistance to Sybil attacks

SIoT identity management with the ability to preserve owner privacy and built‐in resistance to Sybil attacks

Dare‐to‐Share: Collaborative privacy‐preserving recommendations with (almost) no crypto

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