Software backdoor analysis based on sensitive flow tracking and concolic execution-Reference-Cited by-同舟云学术

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Software backdoor analysis based on sensitive flow tracking and concolic execution

Published:2016-10 Issue:5 Volume:21 Page:421-427
ISSN:1007-1202
Container-title:Wuhan University Journal of Natural Sciences
language:en
Short-container-title:Wuhan Univ. J. Nat. Sci.

Author:

Xu Xin,Wang Jiajie,Cheng Shaoyin,Zhang Tao,Jiang Fan

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://link.springer.com/content/pdf/10.1007/s11859-016-1190-5.pdf

Reference15 articles.

1. Weaver N, Paxson V, Staniford S, et al. A taxonomy of computer worms [C] // Proceedings of the 2003 ACM Workshop on Rapid Malcode. New York: ACM Press, 2003: 11–18.

2. Brumley D, Hartwig C, Liang Z, et al. Automatically identifying trigger-based behavior in malware [C] // Botnet Detection. Berlin, Heidelberg: Springer-Verlag, 2008: 65–88.

3. Wang Y M, Beck D, Vo B, et al. Detecting stealth software with strider ghostbuster [C] // 2005 International Conference on Dependable Systems and Networks. Washington D C: IEEE Press, 2005: 368–377.

4. Christodorescu M, Jha S, Seshia S A, et al. Semantics-aware malware detection [C] // 2005 IEEE Symposium on Security and Privacy. Washington D C: IEEE Press, 2005: 32–46.

5. Jiang X, Wang X, Xu D. Stealthy malware detection and monitoring through VMM-based “out-of-the-box” semantic view reconstruction [J]. ACM Transactions on Information and System Security (TISSEC), 2010, 13(2): 12.

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1. Backdoor Detection Based on Static Code Analysis and Software Component Analysis;Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk Management;2023-11-24

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