Cluster Analysis of Malware Family Relationships-Reference-Cited by-同舟云学术

Cluster Analysis of Malware Family Relationships

Published:2020-12-21 Issue: Volume: Page:361-379
ISSN:
Container-title:Malware Analysis Using Artificial Intelligence and Deep Learning
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Author:

Basole Samanvitha,Stamp Mark

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-62582-5_14

Reference31 articles.

1. Adware:win32/hotbar. https://www.microsoft.com/en-us/wdsi/threats/malware-encyclopedia-description?Name=Adware:Win32/Hotbar&threatId=6204.

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

3. Basole, Samanvitha, Fabio Di Troia, and Mark Stamp. 2020. Multifamily malware models. Journal of Computer Virology and Hacking Techniques 16 (1): 79–92.

4. Bayer, Ulrich, Paolo Milani Comparetti, Clemens Hlauschek, Christopher Kruegel, and Engin Kirda. 2009. Scalable, behavior-based malware clustering. In NDSS, vol. 9, 8–11.

5. Bholowalia, Purnima, and Arvind Kumar. 2014. EBK-means: A clustering technique based on elbow method and $$k$$-means in WSN. International Journal of Computer Applications 105 (9).

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