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Know Abnormal, Find Evil: Frequent Pattern Mining for Ransomware Threat
  Hunting and Intelligence

Know Abnormal, Find Evil: Frequent Pattern Mining for Ransomware Threat Hunting and Intelligence

6 August 2018
Sajad Homayoun
Ali Dehghantanha
Marzieh Ahmadzadeh
S. Hashemi
R. Khayami
ArXivPDFHTML

Papers citing "Know Abnormal, Find Evil: Frequent Pattern Mining for Ransomware Threat Hunting and Intelligence"

6 / 6 papers shown
Title
Evaluation: from precision, recall and F-measure to ROC, informedness,
  markedness and correlation
Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation
D. Powers
171
5,276
0
11 Oct 2020
Medical Cyber-Physical Systems Development: A Forensics-Driven Approach
Medical Cyber-Physical Systems Development: A Forensics-Driven Approach
George Grispos
W. Glisson
Kim-Kwang Raymond Choo
16
44
0
17 Aug 2017
Exploit Kits: The production line of the Cybercrime Economy
Exploit Kits: The production line of the Cybercrime Economy
Michael Hopkins
Ali Dehghantanha
36
36
0
15 Jul 2017
Monet: A User-oriented Behavior-based Malware Variants Detection System
  for Android
Monet: A User-oriented Behavior-based Malware Variants Detection System for Android
Mingshen Sun
Xiaolei Li
John C. S. Lui
Richard T. B. Ma
Zhenkai Liang
23
113
0
10 Dec 2016
Automated Dynamic Analysis of Ransomware: Benefits, Limitations and use
  for Detection
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
Using Software-Defined Networking for Ransomware Mitigation: the Case of
  CryptoWall
Using Software-Defined Networking for Ransomware Mitigation: the Case of CryptoWall
Krzysztof Cabaj
W. Mazurczyk
AAML
28
137
0
24 Aug 2016
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