An Advanced Malware Detection System Based on NLP to Generate Genetic Markers
Author:
Affiliation:
1. San Jose State University,Department of Computer Science,CA,USA
2. Silicon Valley Cybersecurity Institute,Saratoga High School
3. San Jose State University,CA,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10444098/10444131/10444433.pdf?arnumber=10444433
Reference27 articles.
1. Global ransomware victimization rate 2022;Petrosyan;Percentage of organizations victimized by ransomware attacks worldwide from 2018 to 2022,2022
2. “WannaCry” ransomware attack losses could reach $4 billion;Berr;CBS NEWS
3. Detecting Encrypted and Polymorphic Malware Using Hidden Markov Models
4. Adversarial machine learning
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