Adversarial machine learning: evaluation of attack models & defense mechanisms

Adversarial machine learning: evaluation of attack models & defense mechanisms

In recent years, there has been a sharp increase in the use of mobile platforms and particularly devices based on the Android operating system. This rapid use of mobile devices has fueled cybercriminals’ interest in developing and sharing malicious software. Machine learning algorithms can be used t...

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Bibliographic Details
Main Authors: Perifanis, Vasileios, Tserpes, Iosif, Περηφάνης, Βασίλειος, Τσερπές, Ιωσήφ
Other Authors: Rizomiliotis, Panagiotis
Language:en_US
Published: 2020
Subjects:
android
malware detection
machine learning
neural networks
adversarial examples
ανίχνευση κακόβουλου λογισμικού
μηχανική μάθηση
νευρωνικά δίκτυα
Machine learning
Malware (Computer software)
Neural networks (Computer science)
Android (Electronic resource)
Computer security
Online Access:http://hdl.handle.net/11610/20142
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http://hdl.handle.net/11610/20142

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