X-EDF: An Efficient Defensive Deception Framework against Reconnaissance Attacks

Deception techniques are increasingly recognized as trans-formative in the realm of cyber defense. With the advent of sophisticated, large-scale scanning technologies such as ZMap, attackers can swiftly pinpoint active and vulnerable ports on edge nodes. Given the diversity of these nodes, a versatile security tool adaptable to various deployment environments is essential. Moreover, edge nodes often encounter performance constraints, necessitating a defense strategy that balances cost-effectiveness for defenders. In response to these challenges, we introduce the X-EDF: an eXpress Data Path (XDP)-based Efficient Defensive De-ception Framework. This framework facilitates an efficient and lightweight deceptive defense leveraging XDP technology. The X-EDF can efficiently respond to attackers' scanning requests with deceptive messages before these requests enter the protocol stack, thus achieving deception defense at a minimal cost. We have validated the effectiveness of our defense strategy through game-theoretic proofs and real-world network deployments.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/msn63567.2024.00068
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
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X-EDF: An Efficient Defensive Deception Framework against Reconnaissance Attacks

Chenlin Huang, Jinzhu Kong, Qing Min Liao, Haifang Zhou et al.
Network Security and Intrusion Detection
article

X-EDF: An Efficient Defensive Deception Framework against Reconnaissance Attacks

Chenlin Huang, Jinzhu Kong, Qing Min Liao, Haifang Zhou, Pan Dong, Zhihang Zhang, Yan Ding
article en

Abstract

Deception techniques are increasingly recognized as trans-formative in the realm of cyber defense. With the advent of sophisticated, large-scale scanning technologies such as ZMap, attackers can swiftly pinpoint active and vulnerable ports on edge nodes. Given the diversity of these nodes, a versatile security tool adaptable to various deployment environments is essential. Moreover, edge nodes often encounter performance constraints, necessitating a defense strategy that balances cost-effectiveness for defenders. In response to these challenges, we introduce the X-EDF: an eXpress Data Path (XDP)-based Efficient Defensive De-ception Framework. This framework facilitates an efficient and lightweight deceptive defense leveraging XDP technology. The X-EDF can efficiently respond to attackers' scanning requests with deceptive messages before these requests enter the protocol stack, thus achieving deception defense at a minimal cost. We have validated the effectiveness of our defense strategy through game-theoretic proofs and real-world network deployments.

National University of Defense Technology (CN), Harbin Institute of Technology (CN), Kingsoft (China) (CN)
Climate action
Openalex Percentile: Top 64%
Network Security and Intrusion Detection
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