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Dr. Islam Tharwat is an assistant professor at the School of Information Technology and Computer Sciences, Nile University, Egypt. He received his B.Sc., M.Sc, and Ph. D. degrees in computer engineering from the Faculty of Engineering, Ain Shams University, Egypt. His Ph.D. thesis was granted the best thesis award in the Computer and Systems Engineering Department, Ain Shams University. He is a Senior Member of IEEE and is currently appointed as the Chair of the Awareness and Customer Advocacy Subcommittee in the Distinguished Visitor Program (DVP), IEEE Computer Society. He has authored many research articles in various refereed conferences and journals, including IEEE Intelligent Transportation Systems Magazine, Computer Networks (Elsevier), and Wireless Networks (Springer).
Dr. Islam was invited as a speaker, panelist, and keynote speaker at several international conferences and events. He is also a reviewer and a technical committee member in many international and national journals and conferences. Besides, he has received several international certifications from the top-ranked IT vendor worldwide such as Cisco, VMware, Microsoft, Dell, IBM, and ITIL. He delivered and participated in several national, complex, and multi-million of dollars ICT projects in Egypt's governmental and private sectors.
1- Best Ph.D. thesis award in the Computer and Systems Engineering Department, Ain Shams University
HSAS-MD Analyzer: A Hybrid Security Analysis System Using Model-Checking Technique and Deep Learning for Malware Detection in IoT Apps
Established Internet of Things (IoT) platforms suffer from their inability to determine whether an IoT app is secure or not. A security analysis system (SAS) is a protective shield against any attack that breaks down data privacy and security. Its main task focuses on detecting malware and verifying app behavior. There are many SASs implemented in various IoT applications. Most of them build on
- Wireless Networks
- Computer Security
- Cloud Computing and IoT