Android Mobile Malware Detection Models – A Schematic View

IEEE Computer Society Santa Clara Valley Chapter

IEEEDay…Permission pairs in Android phones, dynamic network traffic-based and machine learning based approaches... Dr. Sateesh Kumar Peddoju

This is the first of the two #IEEEDay events of the chapter AbstractIn today’s era, smartphones have become ubiquitous because of their fascinating capabilities, for instance, sending and receiving emails, online shopping, mobile Internet browsing, and location-based services, apart from regular calling and messaging features. Additionally, a user-friendly app interface is present in most smartphones allowing users to download various apps according to their needs. However, with an increase in their popularity, there has been an analogous increase in malware attacks targeting smartphones. If a smartphone gets compromised by any malware, it may cause many serious threats, such as financial loss, system damage, data loss, and privacy leakage. Detecting such malware is the key requirement in mobile communications. This talk presents different models developed at our lab to detect Android smartphone malware. The talk first presents an in-depth analysis of how smartphone malware has evolved over the past few years, their ways of infection, threats posed by them, and a comprehensive review of the related works in the field of malware detection. The talk also introduces a static approach that analyzes permission pairs in Android phones. It next discusses a dynamic network traffic-based approach for Android malware detection to analyze the run-time behavior of malicious Android apps. Finally, the talk will present a hybrid model that combines K-Medoids and KNN algorithms on hybrid feature vectors to detect Android malware.SpeakerSateesh Kumar Peddoju is currently working with the Indian Institute of Technology Roorkee, India, as an Associate Professor in the Department of Computer Science and Engineering. He did his Ph.D. and M. Tech in Computer Science and Engineering from Osmania University, Hyderabad, India, in 2010 and 2003, respectively. Sateesh is the Senior Member of IEEE and ACM. He acted as the Vice-Chair for IEEE Computer Society, India Council. Currently, he is the Treasurer for the IEEE Roorkee section and Founding Faculty Advisor for ACM Student Chapter-IIT Roorkee. Sateesh received several awards like Faculty Cloud Ambassador for Amazon Web Services Cloud Ambassador Program, IBM SUR Award, Microsoft Educate Award, best paper/presentation awards, best teacher award in previous employment, and travel grants. He received the university merit scholarship for his high rank in the University. Sateesh published several research papers in reputed journals and conferences like IEEE TIFS, IEEE Access, IEEE Potentials, ACM MobiCom, IEEE TrustCom, IEEE MASS, ACM/IEEE ICDCN, and ISC. He co-authored a book titled Security and Storage Issues in the Cloud Environment and edited a book titled Cloud Computing Systems and Applications in Healthcare. Sateesh is the founding Steering Committee Chair for SLICE 2018 and acted as the General Chair, General Co-Chair, Publication Co-Chair, Session Chair, and Program Committee member in several conferences. He is currently acting as the Chair for the Communications sub-group of the IoT Security Guidelines committee constituted by MIETY, Government of India. He is also an expert member of the CERT-Ukt committee constituted by the Government of Uttarakhand, India. His research interests include Cloud Computing, Ubiquitous Computing, and Security.

IEEE Computer Society, Silicon Valley Chapter

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Android Mobile Malware Detection Models – A Schematic View

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