Malicious software (malware) is a major threat to the systems and networks’ security. Although anti-malware products are used to protect systems and networks against malware attacks, obfuscated malware that is capable of evading analysis and detection by anti-malware software have become prevalent. Therefore, how to detect and remove obfuscated malware from the systems has become a major concern. In this research work, we propose a semi-supervised approach that integrates deep learning, feature engineering, image transformation and processing techniques for obfuscated malware detection. We validated the proposed approach through experiments and compared it with existing approaches. With 99...
The Ninth International Conference on Dependability and Complex Systems DepCoS- RELCOMEX. June 30–July 4, 2014, Brunów, Poland The 27th ACM Hypertext conference, 10-13 July 2016 - Halifax, Canada
The Ninth International Conference on Dependability and Complex Systems DepCoS- RELCOMEX. June 30–July 4, 2014, Brunów, Poland The 27th ACM Hypertext conference, 10-13 July 2016 - Halifax, Canada Excellence in University Teaching, Dubai, 2-4 July 2018 Research Ethics and Standards: A Two-day Short Course, Tabuk , 24-25 March 2019 Personal Strategy and Productivity, Saudi Arabia, 4 November 2019 Quality Management and Development in Higher Education, Saudi Arabia, 5 November 2019 Academic Relationship in Saudi Universities Challenges & Opportunities, Saudi Arabia, 6 November 2019 Problem Solving & Decision Making, Saudi Arabia,25 November 2019 Conflict management within Academic Environment...