Network topology obfuscation is a technique aimed at protecting critical nodes and links from disruptions such as Link Flooding Attack (LFA). Currently, there are limited topology obfuscation methods for protecting critical nodes, and the existing approaches mainly achieve obfuscation by extensively modifying network links, resulting in high costs. To address this issue, this paper proposes a low-cost network topology obfuscation method dedicated to critical node protection, with its core innovation lying in a lightweight obfuscation architecture based on Fake Node Clusters (FNCs). Firstly, the protected network is modeled as an undirected graph, and an adjacency matrix is constructed to quantify the network scale and structural characteristics. Then, a fake node cluster generation algorithm is designed to construct an FNC adapted to the target network. Finally, a heuristic obfuscated topology generation algorithm is proposed. By optimizing the deployment positions of Fake Nodes Clusters (FNCs) in the protected network, this algorithm effectively reduces the number of FNCs required to generate the obfuscated topology, further lowering the obfuscation cost. Extensive experiments were conducted on the public Topology Zoo dataset, categorizing network topologies by node count into small-scale ([0, 50)), medium-scale ([50, 100)), and large-scale ([100, 200)) groups. The experimental results demonstrate that the proposed approach achieves excellent obfuscation performance, reducing the critical node recognition rate to 0%. Compared to the typical method, EigenObfu, the proposed approach also reduces obfuscation costs by an average of 97.9%, 99.6%, and 99.3% for small, medium, and large-scale networks, respectively.
Chen et al. (Thu,) studied this question.