Sajad Homayoun

Sajad Homayoun

Technical University of Denmark - Kongens Lyngby / Denmark
Engineering & Technology / Computer Science
AD Scientific Index ID: 1497082
Danmarks Tekniske Universitet
person_outline Sajad Homayoun's MOST POPULAR ARTICLES
1-) Know Abnormal, Find Evil: Frequent Pattern Mining for Ransomware Threat Hunting and Intelligence IEEE Transactions on Emerging Topics in Computing (In Press) 99, 11, 2017
2-) DRTHIS: Deep ransomware threat hunting and intelligence system at the fog layer Future Generation Computer Systems 90, 11, 2019
3-) Detecting Cryptomining Malware: a Deep Learning Approach for Static and Dynamic Analysis Journal of Grid Computing, 2020
4-) An OpCode-Based Technique for Polymorphic Internet of Things Malware Detection Concurrency and Computation: Practice and Experience, 2019
5-) BoTShark: A deep learning approach for botnet traffic detection Cyber Threat Intelligence, 137-153, 2018