Multifamily malware models

Author:

Basole Samanvitha,Di Troia Fabio,Stamp Mark

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Hardware and Architecture,Software,Computer Science (miscellaneous)

Reference41 articles.

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2. Backdoor:win32/cycbot.g. https://www.microsoft.com/en-us/wdsi/threats/malware-encyclopedia-description?Name=Backdoor:Win32/Cycbot.G. Accessed 25 March 2019

3. Bagga, N., Di Troia, F., Stamp, M.: On the effectiveness of generic malware models. In: Proceedings of the 15th International Joint Conference on e-Business and Telecommunications, BASS 2018, pp. 442–450. INSTICC, SciTePress (2018)

4. Friedman, J., Hastie, T., Tibshirani, R.: The Elements of Statistical Learning. Springer, New York (2001)

5. Goodfellow, I., Bengio, Y., Courville, A., Bengio, Y.: Deep Learning, vol. 1. MIT Press, Cambridge (2016)

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