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Active Permission Identification for Android Malware Application Detection
Android malware is a term used to describe a group of malicious applications targeting Android smart-phones and tablets. Now-a-days widely applicable smart phone application adoption and rapid growth of contextually sensitive nature of smart-phone devices has lead to a renaissance in mobile application services and increased concerns over smart-phone malware. Most of the internet users are connected to internet for various purposes. Android Operating Systems are most commonly used systems in the smart-phones. Many applications are available in android play store and it is very difficult to distinguish and to discriminate between benign and malicious applications. Various malware detection tools have been developed, including system-level and network-level approaches. In this paper, we introduce Active Permission Identification (APID), a malware detection system based on permission usage analysis to cope with the rapid increase in the number of Android malware. Instead of extracting and analyzing all Android permissions, we develop three levels of pruning by mining the permission data to identify the most Active permission that can be effective in distinguishing between benign and malicious apps. APID then utilizes machine-learning-based classification methods to classify different families of malware and benign apps. This paper identifies dangerous permission list, benign permission list, shutdown list and reduce non-sensitive permissions and apply FS-SVM classification on the new data set. Our evaluation finds that only 11 permissions are active. APID is more effective by detecting 98% of malware in the dataset.
Keywords- Android malware, Malware detection, Active permission, Classification, Machine Learning
Unique Identification Number - IJEDR1903150Page Number(s) - 877-884Pubished in - Volume 7 | Issue 3 | September 2019DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
M.Mohana,  Dr.S.M.Jagatheesan,   "Active Permission Identification for Android Malware Application Detection"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.7, Issue 3, pp.877-884, September 2019, Available at :http://www.ijedr.org/papers/IJEDR1903150.pdf