Ransomware Clustering and Classification using Similarity Matrix
Author:
Affiliation:
1. Nile University,Cairo,Egypt
2. National Telecommunication Institute, Nile University,Cairo,Egypt
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9781670/9781642/09781655.pdf?arnumber=9781655
Reference29 articles.
1. A Panoramic Evaluation of Machine Learning and Deep Learning-aided Ransomware Detection Tools Using a Hybrid Cluster of Rich Smartphone Traits
2. Malware Analysis Using Classification and Clustering Algorithms
3. DeepAG: Attack Graph Construction and Threats Prediction With Bi-Directional Deep Learning
4. A deep recurrent neural network approach to learn sequence similarities for user-identification
5. Further generalizations of the Jaccard index;costa;ArXiv Preprint,2021
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