Deception Techniques in Computer Security

Author:

Han Xiao1ORCID,Kheir Nizar2,Balzarotti Davide3

Affiliation:

1. Orange Labs, Châtillon, France

2. Thales, Palaiseau, France

3. Eurecom, Biot, France

Abstract

A recent trend both in academia and industry is to explore the use of deception techniques to achieve proactive attack detection and defense—to the point of marketing intrusion deception solutions as zero-false-positive intrusion detection. However, there is still a general lack of understanding of deception techniques from a research perspective, and it is not clear how the effectiveness of these solutions can be measured and compared with other security approaches. To shed light on this topic, we introduce a comprehensive classification of existing solutions and survey the current application of deception techniques in computer security. Furthermore, we discuss the limitations of existing solutions, and we analyze several open research directions, including the design of strategies to help defenders to design and integrate deception within a target architecture, the study of automated ways to deploy deception in complex systems, the update and re-deployment of deception, and, most importantly, the design of new techniques and experiments to evaluate the effectiveness of the existing deception techniques.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Cited by 58 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Generation and deployment of honeytokens in relational databases for cyber deception;Computers & Security;2024-11

2. DECEPTWIN: Proactive Security Approach for IoV by Leveraging Deception-based Digital Twins and Blockchain;Proceedings of the 19th International Conference on Availability, Reliability and Security;2024-07-30

3. Application Layer Cyber Deception Without Developer Interaction;2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW);2024-07-08

4. Digital-Twin-Driven Deception Platform: Vision and Way Forward;IEEE Internet Computing;2024-07

5. An active deception defense model based on address mutation and fingerprint camouflage;China Communications;2024-07

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