Zobrazeno 1 - 4 of 4 pro vyhledávání: '"Mohamed Ali Kazi"'
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Akademický článek
An Investigation to Detect Banking Malware Network Communication Traffic Using Machine Learning Techniques
Autor: Mohamed Ali Kazi, Steve Woodhead, Diane Gan
Publikováno v: Journal of Cybersecurity and Privacy, Vol 3, Iss 1, Pp 1-23 (2022)
Banking malware are malicious programs that attempt to steal confidential information, such as banking authentication credentials, from users. Zeus is one of the most widespread banking malware variants ever discovered. Since the Zeus source code was
Externí odkaz: https://doaj.org/article/2c4d79c1d78747af984fd543f4e87d79
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3
Detecting the Zeus Banking Malware Using the Random Forest Binary Classification Algorithm and a Manual Feature Selection Process
Autor: Mohamed Ali Kazi, Diane Gan, Steve Woodhead
Publikováno v: Communications in Computer and Information Science ISBN: 9789811548246
SSCC
The Zeus malware is one of the most prolific banking malware variants ever to be discovered and this paper examines how the Zeus malware network traffic can be detected using the Random Forest machine learning algorithm. The key to this paper is that
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b5a5dc57f597007518478831346db9db
https://doi.org/10.1007/978-981-15-4825-3_23
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