Runs in the Family: Malware Family Variants Identification through API Sequence and Frequency Analysis
Author:
Affiliation:
1. University of Nevada,Department of Computer Science and Engineering,Reno,USA
2. Anglia Ruskin University,Department of Computing and Information Science,Cambridge,UK
3. University of the Pacific,Department of Computer Science,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10185659/10185643/10185752.pdf?arnumber=10185752
Reference21 articles.
1. Learning from imbalanced data: open challenges and future directions
2. Malpedia: A Collaborative Effort to Inventorize the Malware Landscape;plohmann;The Journal on Cybercrime & Digital Investigations,2018
3. Friend or Foe: Discerning Benign vs Malicious Software and Malware Family
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