Leveraging Machine Learning Techniques for Windows Ransomware Network Traffic Detection

27 July 2018

Papers citing "Leveraging Machine Learning Techniques for Windows Ransomware Network Traffic Detection"

7 / 7 papers shown

Title
Know Abnormal, Find Evil: Frequent Pattern Mining for Ransomware Threat Hunting and Intelligence Sajad Homayoun Ali Dehghantanha Marzieh Ahmadzadeh S. Hashemi R. Khayami 34 161 0 06 Aug 2018
A Cyber Kill Chain Based Taxonomy of Banking Trojans for Evolutionary Computational Intelligence Dennis Kiwia Ali Dehghantanha Kim-Kwang Raymond Choo Jim Slaughter 33 75 0 27 Jul 2018
Greening Cloud-Enabled Big Data Storage Forensics: Syncany as a Case Study Yee-Yang Teing Ali Dehghantanha Kim-Kwang Raymond Choo 18 34 0 27 Jul 2018
CloudMe Forensics: A Case of Big-Data Investigation Yee-Yang Teing Ali Dehghantanha Kim-Kwang Raymond Choo 55 38 0 26 Jul 2018
Exploit Kits: The production line of the Cybercrime Economy Michael Hopkins Ali Dehghantanha 31 36 0 15 Jul 2017
Automated Dynamic Analysis of Ransomware: Benefits, Limitations and use for Detection D. Sgandurra Luis Muñoz-González Rabih Mohsen Emil C. Lupu 50 268 0 10 Sep 2016
Automated detection and classification of cryptographic algorithms in binary programs through machine learning D. Hosfelt 34 18 0 04 Mar 2015