Incremental Research on Cyber Security metrics in Android applications by implementing the ML algorithms in Malware Classification and Detection

Journal of Cybersecurity and Information Management JCIM 2690-6775 2769-7851 10.54216/JCIM https://www.americaspg.com/journals/show/362 2019 2019 Incremental Research on Cyber Security metrics in Android applications by implementing the ML algorithms in Malware Classification and Detection Associate Professor & Head – Corporate Relations, J.K.K.Nattraja College of Engineering and Technology, India Dr.Sreejith Vignesh B P Cyber attacks are prevailing to be a great headache for the technical advancements especially when dealt with mobile usage in an android application environment. For a new user, it is difficult to identify the set of harmful permissions. This could be an advantage for malware intruders to access the data or infect the mobile device by introducing malware applications. Thus the face of Cybersecurity has changed in recent times with the advent of new technologies such as the Cloud, the internet of things, mobilewireless, and wearable technology. The technological advances in data science which help develop contemporary cybersecurity solutions are storage, computing, and behavior. In this paper, the possible investigations are done on the cyber attacks in android by adopting the various malware classification and detection techniques. Various Classifications and Detections are done on various malware prevailing in the android applications. 2020 2020 14 20 10.54216/JCIM.030102 https://www.americaspg.com/articleinfo/2/show/362