PASS: An Address Space Slicing Framework for P2P Eclipse Attack Mitigation

Germanus, Daniel; Ismail, Hatem; Suri, Neeraj

doi:10.1109/srds.2015.14

Cited by 6 publications

(2 citation statements)

References 30 publications

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“…In their review of theoretical research and experiments, Xu et al [19] Here, the identifier can fill the target's routing table, thereby poisoning the subnet and its nodes and destroying the subnet routing structure. Then, the attacked subnet can be isolated and shielded from the main network node [21,22]. The eclipse attack process is illustrated in Figure 1.…”

Section: Analysis Of Eclipse Attack Means and Characteristicsmentioning

confidence: 99%

Eclipse Attack Detection for Blockchain Network Layer Based on Deep Feature Extraction

Dai

Zhang

Dong

2022

Wireless Communications and Mobile Computing

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An eclipse attack is a common method used to attack the blockchain network layer; however, detecting eclipse attacks is challenging, and the performance of existing methods is inadequate due to uneven sample distribution, incomplete definition of discriminating features, and weak feature perception. Thus, this paper proposes an eclipse attack traffic detection method based in a custom combination of features and deep learning. To describe the behavior characteristics of attack traffic more accurately, traffic attribute features in there levels are defined in combination with the eclipse attack method. Here, the downstream traffic behavior feature of the eclipse attack is described from the conventional traffic feature, and the frequency distribution characteristics of eclipse attack traffic is by introducing the φ-entropy divergence algorithm. In addition, the structural characteristics of eclipse attack traffic are mapped from the rate of changes in traffic communication and load features. Then, the improved synthetic minority oversampling technique (ISMOTE) up-sampling algorithm is employed to eliminate interference caused by the uneven distribution of eclipse attack traffic samples on the detection results. In addition, the ISMOTE algorithm adjusts the sampling weight of minority class samples, supports automatic clustering and efficient up-sampling of samples, and improves the detection accuracy performance of eclipse attack samples by calculating the local cluster density. Then, deep feature mining is performed on the eclipse attack traffic from the distribution characteristics of space and time series using a CNN and Bi-LSTM. Simultaneously, mining features are fully integrated into mixed feature using the multihead attention mechanism such that the relevance and complementarity of the two feature distributions can be utilized to enhance the model’s ability to perceive the spatiotemporal relationship of the eclipse attack traffic. Finally, the generated multihead attention items are detected for binary classification, and the results are output. Experimental results demonstrate that the proposed method can comprehensively enhance detection performance and sufficiently detect and classify eclipse attack traffic in the blockchain network layer.

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Section: Analysis Of Eclipse Attack Means and Characteristicsmentioning

confidence: 99%

Eclipse Attack Detection for Blockchain Network Layer Based on Deep Feature Extraction

Dai

Zhang

Dong

2022

Wireless Communications and Mobile Computing

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“…One approach for ensuring anonymity, while giving identities via the active operation of two trusted third parties, which internally certify users. Protection against the following can be achieved Sybil attack [27], [32], eclipse attack [20], [92], [94] and whitewasher. Eclipse attack constitutes one of the most disruptive attacks on P2P networks, in which an entity uses "multiple identifiers for the purpose of cutting off traffic to and from a particular node, thereby eclipsing them from the network" [92].…”

Section: Security and Trust Issue In P2p Networkmentioning

confidence: 99%

A State-of-the-Art Survey of Peer-to-Peer Networks: Research Directions, Applications and Challenges

Ehiagwina¹,

Iromini²,

Olatinwo³

et al. 2022

J. Engg. Res. & Sci.

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Centralized file-sharing networks have low reliability, scalability issues, and possess a single point of failure, thus making peer-to-peer (P2P) networks an attractive alternative since they are mostly anonymous, autonomous, cooperative, and decentralized. Although, there are review articles on P2P overlay networks and technologies, however, other aspects such as hybrid P2P networks, modelling of P2P, trust and reputation management issues, coexistence with other existing networks, and so on have not been comprehensively reviewed. In addition, existing reviews were limited to articles published in or before 2012. This paper performs a state-of-the-art literature survey on the emerging research areas of P2P networks, applications and ensuing challenges along with proposed solutions by scholars. The literature search for this survey was limited to the top-rated publisher of scholarly articles. This research shows that issues with security, privacy, the confidentiality of information and trust management will need greater attention, especially in sensitive applications like health services and vehicle to vehicle communication ad hoc networks. In addition, more work is needed in developing solutions to effectively investigate and curb deviant behaviours among some P2P networks.

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