Network Topology Obfuscation: Challenges, Solutions, and Comparisons

Attackers infer the network topology to locate critical components and to plan cost-effective attacks with high success rates. Network topology obfuscation (NTO) counters this by exposing a well-designed fake topology that misleads the inference and raises the cost of attack. Existing surveys cover topology inference but give limited attention to proactive defense. We disassemble the NTO mechanisms into three workflow phases, identification, generation and deployment, and into four fundamental techniques, rerouting, virtual network, response fabricating and packet intervention, whose combination forms each of them. We then systematically analyze multiple NTO mechanisms by technique and design objective, and outline future research directions.

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Publication Details

Journal
ACM Computing Surveys
Published
2026-10-08
DOI
https://doi.org/10.1145/3857909
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Network Topology Obfuscation: Challenges, Solutions, and Comparisons

Lailong Luo, Bangbang Ren, Deke Guo, Changhao Qiu
ACM Computing Surveys
Network Security and Intrusion Detection
article

Network Topology Obfuscation: Challenges, Solutions, and Comparisons

Lailong Luo, Bangbang Ren, Deke Guo, Changhao Qiu
article en

Abstract

Attackers infer the network topology to locate critical components and to plan cost-effective attacks with high success rates. Network topology obfuscation (NTO) counters this by exposing a well-designed fake topology that misleads the inference and raises the cost of attack. Existing surveys cover topology inference but give limited attention to proactive defense. We disassemble the NTO mechanisms into three workflow phases, identification, generation and deployment, and into four fundamental techniques, rerouting, virtual network, response fabricating and packet intervention, whose combination forms each of them. We then systematically analyze multiple NTO mechanisms by technique and design objective, and outline future research directions.

ACM Computing Surveys
Sun Yat-sen University (CN), National University of Defense Technology (CN)
Openalex Percentile: Top 11%
Network Security and Intrusion Detection
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Network Topology Obfuscation: Challenges, Solutions, and Comparisons — Lailong Luo, Bangbang Ren, et al. · ACM Computing Surveys (2026) | TGRS Research Map | TGRS