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A Composite Malicious Peer Eviction Mechanism for Super-P2P Systems

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A Composite Malicious Peer Eviction Mechanism for Super-P2P Systems. / Ismail, H.; Roos, S.; Suri, Neeraj.

2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). IEEE, 2018. p. 456-464.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Ismail, H, Roos, S & Suri, N 2018, A Composite Malicious Peer Eviction Mechanism for Super-P2P Systems. in 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). IEEE, pp. 456-464. https://doi.org/10.1109/TrustCom/BigDataSE.2018.00072

APA

Ismail, H., Roos, S., & Suri, N. (2018). A Composite Malicious Peer Eviction Mechanism for Super-P2P Systems. In 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE) (pp. 456-464). IEEE. https://doi.org/10.1109/TrustCom/BigDataSE.2018.00072

Vancouver

Ismail H, Roos S, Suri N. A Composite Malicious Peer Eviction Mechanism for Super-P2P Systems. In 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). IEEE. 2018. p. 456-464 https://doi.org/10.1109/TrustCom/BigDataSE.2018.00072

Author

Ismail, H. ; Roos, S. ; Suri, Neeraj. / A Composite Malicious Peer Eviction Mechanism for Super-P2P Systems. 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). IEEE, 2018. pp. 456-464

Bibtex

@inproceedings{4bfe75d6c5b347079af2aa18041e486a,
title = "A Composite Malicious Peer Eviction Mechanism for Super-P2P Systems",
abstract = "Large-scale P2P applications (e.g., social networking, online gaming, video streaming) that host millions of users increasingly rely upon semi-structured super-P2P systems to provide efficient services in dynamic environments. Given the critical role of 'super peers' in such topologies, attackers target super peers due to the resultant high damage on P2P services. In this paper, we consider the prominent class of Outgoing Eclipse Attacks (OEA) where an attacker aims to block the communication by controlling all the outgoing connections of honest super peers. Our interest on OEA stems from the fact that our simulation studies reveal that OEAs can cause up to 90% of all service requests to fail. Our attack mitigation relies upon a novel (a) monitoring and (b) malicious peer eviction scheme based on a composite proactive and reactive mechanism. Our proactive mechanism enforces an upper bound on the number of connections an attacker can establish, whereas our reactive mechanism expels malicious peers from the overlay using a distributed consensus protocol. We show that our protection mechanism is highly effective and exhibits a low false-positive rate. Our extensive simulation study validates the analytical results over a large range of parameters with observed detection accuracies of 99% and throughput enhancements of up to 100% while entailing an overhead of less than 5%. {\textcopyright} 2018 IEEE.",
keywords = "Auditing, Eclipse Attacks, P2P, Super-P2P, Big data, Data privacy, Online systems, Distributed consensus, Extensive simulations, False positive rates, Protection mechanisms, Throughput enhancement, Peer to peer networks",
author = "H. Ismail and S. Roos and Neeraj Suri",
year = "2018",
month = aug,
day = "1",
doi = "10.1109/TrustCom/BigDataSE.2018.00072",
language = "English",
isbn = "9781538643891",
pages = "456--464",
booktitle = "2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - A Composite Malicious Peer Eviction Mechanism for Super-P2P Systems

AU - Ismail, H.

AU - Roos, S.

AU - Suri, Neeraj

PY - 2018/8/1

Y1 - 2018/8/1

N2 - Large-scale P2P applications (e.g., social networking, online gaming, video streaming) that host millions of users increasingly rely upon semi-structured super-P2P systems to provide efficient services in dynamic environments. Given the critical role of 'super peers' in such topologies, attackers target super peers due to the resultant high damage on P2P services. In this paper, we consider the prominent class of Outgoing Eclipse Attacks (OEA) where an attacker aims to block the communication by controlling all the outgoing connections of honest super peers. Our interest on OEA stems from the fact that our simulation studies reveal that OEAs can cause up to 90% of all service requests to fail. Our attack mitigation relies upon a novel (a) monitoring and (b) malicious peer eviction scheme based on a composite proactive and reactive mechanism. Our proactive mechanism enforces an upper bound on the number of connections an attacker can establish, whereas our reactive mechanism expels malicious peers from the overlay using a distributed consensus protocol. We show that our protection mechanism is highly effective and exhibits a low false-positive rate. Our extensive simulation study validates the analytical results over a large range of parameters with observed detection accuracies of 99% and throughput enhancements of up to 100% while entailing an overhead of less than 5%. © 2018 IEEE.

AB - Large-scale P2P applications (e.g., social networking, online gaming, video streaming) that host millions of users increasingly rely upon semi-structured super-P2P systems to provide efficient services in dynamic environments. Given the critical role of 'super peers' in such topologies, attackers target super peers due to the resultant high damage on P2P services. In this paper, we consider the prominent class of Outgoing Eclipse Attacks (OEA) where an attacker aims to block the communication by controlling all the outgoing connections of honest super peers. Our interest on OEA stems from the fact that our simulation studies reveal that OEAs can cause up to 90% of all service requests to fail. Our attack mitigation relies upon a novel (a) monitoring and (b) malicious peer eviction scheme based on a composite proactive and reactive mechanism. Our proactive mechanism enforces an upper bound on the number of connections an attacker can establish, whereas our reactive mechanism expels malicious peers from the overlay using a distributed consensus protocol. We show that our protection mechanism is highly effective and exhibits a low false-positive rate. Our extensive simulation study validates the analytical results over a large range of parameters with observed detection accuracies of 99% and throughput enhancements of up to 100% while entailing an overhead of less than 5%. © 2018 IEEE.

KW - Auditing

KW - Eclipse Attacks

KW - P2P

KW - Super-P2P

KW - Big data

KW - Data privacy

KW - Online systems

KW - Distributed consensus

KW - Extensive simulations

KW - False positive rates

KW - Protection mechanisms

KW - Throughput enhancement

KW - Peer to peer networks

U2 - 10.1109/TrustCom/BigDataSE.2018.00072

DO - 10.1109/TrustCom/BigDataSE.2018.00072

M3 - Conference contribution/Paper

SN - 9781538643891

SP - 456

EP - 464

BT - 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)

PB - IEEE

ER -