Decepticon: A Hidden Markov Model Approach to Counter Advanced Persistent Threats-Reference-Cited by-同舟云学术

Decepticon: A Hidden Markov Model Approach to Counter Advanced Persistent Threats

Published:2020 Issue: Volume: Page:38-54
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Baksi Rudra Prasad,Upadhyaya Shambhu J.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-3817-9_3

Reference33 articles.

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2. Baksi, R.P., Upadhyaya, S.J.: A comprehensive model for elucidating advanced persistent threats (APT). In: Proceedings of the International Conference on Security and Management (SAM), pp. 245–251. The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (2018)

3. Bencsáth, B., Pék, G., Buttyán, L., Felegyhazi, M.: The cousins of stuxnet: Duqu, flame, and gauss. Future Internet 4(4), 971–1003 (2012)

4. Bennett, J.T., Moran, N., Villeneuve, N.: Poison ivy: assessing damage and extracting intelligence. FireEye Threat Research Blog (2013)

5. Lecture Notes in Computer Science;H Çeker,2016

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