VILO: a rapid learning nearest-neighbor classifier for malware triage

Author:

Lakhotia Arun,Walenstein Andrew,Miles Craig,Singh Anshuman

Publisher

Springer Science and Business Media LLC

Subject

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

Reference50 articles.

1. Abou-Assaleh, T., Cercone, N., Keselj, V., Sweidan, R.: N-gram-based detection of new malicious code. In: Proceedings of the 28th IEEE Annual International Computer Software and Applications Conference, 2004 (COMPSAC’04), vol. 2, pp. 41–42 (2004)

2. Bailey, M., Oberheide, J., Andersen, J., Mao, Z.M., Jahanian, F., Nazario, J.: Automated classification and analysis of internet malware. In: Proceedings of the 10th International Conference on Recent Advances in Intrusion Detection, RAID’07, pp. 178–197. Springer, Berlin, Heidelberg (2007)

3. Carrera, E., Erdélyi, G.: Digital genome mapping-advanced binary malware analysis. In: Virus Bulletin Conference, pp. 187–197 (2004)

4. Chess, D., White, S.: An undetectable computer virus. In: Proceedings of Virus Bulletin Conference, vol. 5 (2000)

5. Chouchane, M., Lakhotia, A.: Using engine signature to detect metamorphic malware. In: Proceedings of the 4th ACM Workshop on Recurring Malcode, pp. 73–78. ACM (2006)

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