Design and Implementation of a Malware Detection System on Smartphones
- November 4, 2020
- Posted by: RSIS Team
- Categories: Computer Science and Engineering, IJRIAS
International Journal of Research and Innovation in Applied Science (IJRIAS) | Volume V, Issue X, October 2020 | ISSN 2454–6186
Design and Implementation of a Malware Detection System on Smartphones
Atanda Aminat Oluchi1, Obi Adaobi Maria2, Anyaorah Chukwuka Charles3, Idoko Nnamdi A4, Udechukwu Precious Emeka5, Anusiobi Chinenye Loveline6, Asogwa Samuel7, Senu Jephthah Folarin8
1,2,5,6Department of Computer Science, University of Nigeria, Nsukka, Nigeria
3Department Of Computer Science, Federal College of Education Eha-Amufu, Nigeria
4Department of Computer Science, Renaissance University, Ugbawka, Enugu, Nigeria
7Department of Computer Science, Michael Okpara University of Agriculture, Umudike, Nigeria
8Department of computer science, Federal university of tech, Minna, Nigeria
Abstract:-Due to innovative advancement, Smart phones developed into in fact and practically refined gadgets called mobile phones. Giving far reaching abilities, Smart phones are getting progressively well known for the focused on clients as well as all. Malware has been a significant issue on cell phones. General countermeasures to Smart phone malwares are at present restricted to signature-based enemy of infection scanners which proficiently identify known malwares, yet they have genuine inadequacies with new and obscure malwares making a lucky opening for assailants. As Smart phones become a host for delicate information and applications, broadened malware recognition instruments not basing on marks are important com-utilizing with the asset limitations of current cell phones. In this work, we tackle the field of cell phone malware. We give a reasonable clarification on what a cell phone really is. Dynamic and static investigation was utilized in the proposed framework. In the field of dynamic investigation, an observing framework is presented assembling conduct and framework based data that are handled by a distant framework utilizing AI for oddity discovery. In the field of static investigation, we examine its pertinence to the space of various cell phone stages, in particular Symbian OS and Android. This paper adopted the object oriented analysis and design method (OOADM), and utilizations the way to deal with model true cycles, activities and information in an all the more deftly, productively and sensibly way.
Keywords: Malware intrusion detection, Smartphones, Dynamic and Static analysis.
