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HamDroid: permission-based harmful android anti-malware detection using neural networks
Saeed Seraj
, Siavash Khodambashi
,
Michalis Pavlidis
,
Nikolaos Polatidis
School of Arch, Tech and Eng
Doctoral College
Research output
:
Contribution to journal
›
Article
›
peer-review
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Keyphrases
Neural Network
100%
Malware Detection
100%
Android
100%
Anti-malware
100%
Permission-based
100%
Popular
14%
Amateur
14%
Programmer
14%
Attacker
14%
Security Aspects
14%
Malware Application
14%
Android Platform
14%
Multilayer Perceptron Neural Network (MLPNN)
14%
Software Companies
14%
Private Information
14%
Android Malware
14%
Precision Accuracy
14%
Computer Science
Neural Network
100%
Malware
100%
Malware Detection
100%
Android
66%
Attackers
16%
Security Aspect
16%
Software Company
16%
Multilayer Perceptron
16%
Sensitive Informations
16%
Android Malware
16%