DPW-RRM: Random Routing Mutation Defense Method Based on Dynamic Path Weight

• Hui Jin,
• Zhaoyang Li,
• Ruiqin Hu,
• Jinglei Tan,
• Hongqi Zhang,

Vol. 17, No. 11, November 30, 2023
10.3837/tiis.2023.11.014, Download Paper (Free):

• Moving Target Defense
• software defined network
• Cyber Security
• network eavesdropping
• routing mutation

Abstract

Eavesdropping attacks have seriously threatened network security. Attackers could eavesdrop on target nodes and link to steal confidential data. In the traditional network architecture, the static routing path and the important nodes determined by the nature of network topology provide a great convenience for eavesdropping attacks. To resist monitoring attacks, this paper proposes a random routing mutation defense method based on dynamic path weight (DPW-RRM). It utilizes network centrality indicators to determine important nodes in the network topology and reduces the probability of important nodes in path selection, thereby distributing traffic to multiple communication paths, achieving the purpose of increasing the difficulty and cost of eavesdropping attacks. In addition, it dynamically adjusts the weight of the routing path through network state constraints to avoid link congestion and improve the availability of routing mutation. Experimental data shows that DPW-RRM could not only guarantee the normal algorithmic overhead, communication delay, and CPU load of the network, but also effectively resist eavesdropping attacks.

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