Survey on Android Malware Detection and Protection using Data Mining Algorithms

Mobile devices have become very popular these days due to its portability and high performance. Android occupies a majority share in the mobile market and it becomes trendy nowadays. The reason for user ignoring is that the installation and usage of apps. The user must have the concern about the security and the malicious attacks. Like every operating systems mobile devices are also prone to malware attacks. Several data mining algorithms are used in the malware detection based on the permissions enabled in each apps. This paper gives a n attempt to study about the performance of data mining algorithms such as Naive Bayes, J48, Multiclass Classifier, Random Tree, SVM, Decision Tree. Each and every algorithm is assessed by various criteria to identify which one is suitable to detect malicious software. The result is that Naive Bayes if far better than the other algorithms as of in time concern and also in detection process.