An artificial immunity approach to malware detection in a mobile platform

An artificial immunity approach to malware detection in a mobile platform

Abstract Inspired by the human immune system, we explore the development of a new Multiple-Detector Set Artificial Immune System (mAIS) for the detection of mobile malware based on the information flows in Android apps. mAISs differ from conventional AISs in that multiple-detector sets are evolved c...

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Bibliographic Details
Main Authors:	James Brown, Mohd Anwar, Gerry Dozier
Format:	Article
Language:	English
Published:	SpringerOpen 2017-03-01
Series:	EURASIP Journal on Information Security
Subjects:	Mobile malware Static flow analysis Artificial immunity Negative selection Feature selection
Online Access:	http://link.springer.com/article/10.1186/s13635-017-0059-2

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