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.
Authors
- Chenlin Huang (ORCID: https://orcid.org/0000-0002-6792-1651)
- Jinzhu Kong
- Qing Min Liao (ORCID: https://orcid.org/0000-0003-1012-5301)
- Haifang Zhou (ORCID: https://orcid.org/0000-0001-5952-8983)
- Pan Dong (ORCID: https://orcid.org/0000-0002-2890-260X)
- Zhihang Zhang (ORCID: https://orcid.org/0009-0002-0062-166X)
- Yan Ding (ORCID: https://orcid.org/0000-0001-6956-9260)
Institutions
- National University of Defense Technology (CN)
- Harbin Institute of Technology (CN)
- Kingsoft (China) (CN)
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
- 0.00