Abstract
This paper presents and discusses a method for Androidâs applications classification with the purpose of malware detection. Based on the application of an Artificial Immune System and Artificial Neural Networks we propose the âantivirusâ system especially for Android system that can detect and block undesirable and malicious applications. This system can be characterized by self-adaption and self-evolution and can detect even unknown and previously unseen malicious applications. The proposed system is the part of our teamâs big project named âIntelligent Cyber Defense Systemâ that includes malware detection and classification module, intrusions detection and classification module, cloud security module and personal cryptography module. This paper contains the extended research that was presented during the IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACSâ2015) [1].
Highlights
From year to year Android operating system increases its popularity
In this paper we present another new part of our âIntelligent Cyber Defense Systemâ that is directed to malicious applications detection in Android operating system
In the previous section we provided the basic principles of our âIntelligent Cyber Defense Systemâ that is based on the integration of the methods of Artificial Neural Networks and Artificial Immune Systems
Summary
From year to year Android operating system increases its popularity. In June 2013 Google Inc. announced that it has over 1 billion active monthly Android users, up from 538 million this time last year. Due to the open nature of Android, a number of third-party application marketplaces (such as Amazon Appstore, GetJar, SlideMe, F-Droid etc.) exist for Android, either to provide a substitute for devices that are not allowed to ship with Google Play Store, provide applications that cannot be offered on Google Play Store due to policy violations, or for other reasons. Such variety of Android applications and application stores makes the security problems very urgent. International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACSâ2015) [1]
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