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Detecting crypto-ransomware in IoT networks based on energy consumption footprint

Kim-Kwang Raymond Choo 1 Amin Azmoodeh 2 Ali Dehghantanha 3 Department of Information Systems and Cyber Security, The University of Texas at San Antonio , San Antonio, TX , USA 4 Department of

Intelligent OS X malware threat detection with code inspection

With the increasing market share of Mac OS X operating system, there is a corresponding increase in the number of malicious programs (malware) designed to exploit vulnerabilities on Mac OS X platforms. However, existing manual and heuristic OS X malware detection techniques are not capable of coping with such a high rate of malware. While machine learning techniques offer...

Ensemble-based multi-filter feature selection method for DDoS detection in cloud computing

attributed to the authors. Opeyemi Osanaiye and Ali Dehghantanha acknowledged the financial support of The University of Cape Town, South Africa, and The University of Salford, UK, respectively. Haibin Cai is

Windows Instant Messaging App Forensics: Facebook and Skype as Case Studies

Instant messaging (IM) has changed the way people communicate with each other. However, the interactive and instant nature of these applications (apps) made them an attractive choice for malicious cyber activities such as phishing. The forensic examination of IM apps for modern Windows 8.1 (or later) has been largely unexplored, as the platform is relatively new. In this paper...

Trends in Android Malware Detection

; and the Information Security Commons Kaveh Shaerpour Faculty of Computer Science and Information Technology University Putra Malaysia Ali Dehghantanha* Faculty of Computer Science and Information ... . His research interest includes digital forensics, computer security and cyber physical systems forensics, and malware analysis. He can be contacted at . Ali Dehghantanha obtained his PhD in Computer