Intrusion Detection Prototype System for Massive Mobile Applications.

Abstract

Mobiles have gained widespread usage& in smart phones many interesting applications are made available through Google Play. Android is one of the major Smartphone platforms today. The intense increases in mobile apps too many threats migrate from conventional PC client to android mobile device. Smartphone applications can steal users’ personal sensitive information and send it out across their back .Smartphone’s store various personal data such as phone numbers, location information, contact information, sms, passwords. The sensible private information is abused highly without users notice. In fact that majority of the users are not proficient in mobile security. To improve security status of current mobile apps MOBAPP-SAFE prototype is proposed process to valuate mobile Apps based on cloud computing technology. Mobapp-Safe prototype helps to identify whether the mobile App is safe from malwares or they contain malwares. When compared with conventional method, such as permission based method the Mobapp--Safe prototype system associates the dynamic and static analysis methods are used to check the Android Apps. In the implementation Static Android Analysis Framework (SAAF) and Android security evaluation framework (ASEF) the two methods static and dynamic analysis methods respectively is adapted to examine the Android Apps and determines the total time needed to estimate mobile App market which contains all the Apps &It also gives information what type of private data App is leaking. Prototype provides deeper security analysis & the estimation results show it is feasible to use cloud computing for all stored Apps to authenticate regularly to clean out malware apps from the mobile app markets.