Pollution and whitewashing attacks in a P2P live streaming system: Analysis and counter-attack

Almeida, Rafael B. de; Natif, Jose Augusto Miranda; Silva, Ana Paula Couto da; Vieira, Alex Borges

doi:10.1109/icc.2013.6654819

Cited by 6 publications

(8 citation statements)

References 9 publications

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“…However, the altered content may be malicious, fake, or corrupt. This affects the network’s quality of service (especially in file, voice, and video-based P2P streaming systems [ 72 , 73 , 75 , 79 , 80 ]), overall system energy consumption [ 74 ], content availability [ 78 ], and data integrity [ 72 ]. Pollution is an easy and fast way to disseminate worms or viruses from one to many peers in the network.…”

Section: Resultsmentioning

confidence: 99%

“…Analysis of the contents collected by the crawler revealed that over 50% of welcome copies (ie, introductory files for a collection of files) for musical files in the KaZaA network were polluted [ 73 ]. Pollution is a serious attack on P2P networks, even in a scenario with only one polluter [ 72 , 75 ]. The impact grows when the number of polluters or peers attempting a request increases [ 75 ].…”

Section: Resultsmentioning

confidence: 99%

“…Pollution is a serious attack on P2P networks, even in a scenario with only one polluter [ 72 , 75 ]. The impact grows when the number of polluters or peers attempting a request increases [ 75 ]. As a result, peers often require multiple times the network bandwidth they need in a network free from pollution [ 75 ].…”

Section: Resultsmentioning

confidence: 99%

Section: Pollutionmentioning

confidence: 99%

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Security Engineering of Patient-Centered Health Care Information Systems in Peer-to-Peer Environments: Systematic Review

Yari¹,

Dehling²,

Kluge³

et al. 2021

J Med Internet Res

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Background Patient-centered health care information systems (PHSs) enable patients to take control and become knowledgeable about their own health, preferably in a secure environment. Current and emerging PHSs use either a centralized database, peer-to-peer (P2P) technology, or distributed ledger technology for PHS deployment. The evolving COVID-19 decentralized Bluetooth-based tracing systems are examples of disease-centric P2P PHSs. Although using P2P technology for the provision of PHSs can be flexible, scalable, resilient to a single point of failure, and inexpensive for patients, the use of health information on P2P networks poses major security issues as users must manage information security largely by themselves. Objective This study aims to identify the inherent security issues for PHS deployment in P2P networks and how they can be overcome. In addition, this study reviews different P2P architectures and proposes a suitable architecture for P2P PHS deployment. Methods A systematic literature review was conducted following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) reporting guidelines. Thematic analysis was used for data analysis. We searched the following databases: IEEE Digital Library, PubMed, Science Direct, ACM Digital Library, Scopus, and Semantic Scholar. The search was conducted on articles published between 2008 and 2020. The Common Vulnerability Scoring System was used as a guide for rating security issues. Results Our findings are consolidated into 8 key security issues associated with PHS implementation and deployment on P2P networks and 7 factors promoting them. Moreover, we propose a suitable architecture for P2P PHSs and guidelines for the provision of PHSs while maintaining information security. Conclusions Despite the clear advantages of P2P PHSs, the absence of centralized controls and inconsistent views of the network on some P2P systems have profound adverse impacts in terms of security. The security issues identified in this study need to be addressed to increase patients’ intention to use PHSs on P2P networks by making them safe to use.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Pollutionmentioning

confidence: 99%

See 2 more Smart Citations

Security Engineering of Patient-Centered Health Care Information Systems in Peer-to-Peer Environments: Systematic Review

Yari¹,

Dehling²,

Kluge³

et al. 2021

J Med Internet Res

View full text Add to dashboard Cite

show abstract

“…Li and Lui [28] presented a set of randomised and fully distributed defence and detection analytical model to evaluate the defence effects for content pollution attack, in which they considered single attacker and multiple attackers within the neighbourhood of the detecting peer. In [29], de Almeida et al . presented a preliminary theory model to evaluate the impact of pollution attack from the view of pollution overhead.…”

Section: Related Workmentioning

confidence: 99%