Detecting zero-day attacks using context-aware anomaly detection at the application-layer-Reference-Cited by-同舟云学术

Detecting zero-day attacks using context-aware anomaly detection at the application-layer

Published:2016-07-20 Issue:5 Volume:16 Page:475-490
ISSN:1615-5262
Container-title:International Journal of Information Security
language:en
Short-container-title:Int. J. Inf. Secur.

Author:

Duessel Patrick^ORCID,Gehl Christian,Flegel Ulrich,Dietrich Sven,Meier Michael

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality,Information Systems,Software

Link

http://link.springer.com/article/10.1007/s10207-016-0344-y/fulltext.html

Reference36 articles.

1. Borisov, N., Brumley, D.J., Wang, H., Dunagan, J., Joshi, P., Guo, C.: Generic application-level protocol analyzer and its language. In: Proceedings of Network and Distributed System Security Symposium (NDSS) (2007)

2. Cretu, G., Stavrou, A., Locasto, M., Stolfo, S.J., Keromytis, A.D.: Casting out demons: sanitizing training data for anomaly sensors. In: ieeesp (2008)

3. Cui, W., Kannan, J., Wang. H.J.: Discoverer: automatic protocol reverse engineering from network traces. In: SS’07: Proceedings of 16th USENIX Security Symposium on USENIX Security Symposium, pp. 1–14 (2007)

4. Detristan, T., Ulenspiegel, T., Malcom, Y., Underduk, M.: Polymorphic shellcode engine using spectrum analysis. Phrack. 11(61) (2003)

5. Düssel, P., Gehl, C., Laskov, P., Rieck, K.: Incorporation of application layer protocol syntax into anomaly detection. In: ICISS, pp. 188–202 (2008)

Cited by 44 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. Swarm-intelligence for the modern ICT ecosystems;International Journal of Information Security;2024-06-18

2. A Zero-Shot Learning-Based Detection Model Against Zero-Day Attacks in IoT;2024 9th International Conference on Electronic Technology and Information Science (ICETIS);2024-05-17

3. TGPrint: Attack fingerprint classification on encrypted network traffic based graph convolution attention networks;Computers & Security;2023-12

4. A Comprehensive Study of Zero-Day Attacks;September 2023;2023-09

5. Characterizing the Impact of Data-Damaged Models on Generalization Strength in Intrusion Detection;Journal of Cybersecurity and Privacy;2023-04-03