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Software-Defined Networking-based Crypto Ransomware Detection Using HTTP
  Traffic Characteristics

Software-Defined Networking-based Crypto Ransomware Detection Using HTTP Traffic Characteristics

24 November 2016
Krzysztof Cabaj
Marcin Gregorczyk
W. Mazurczyk
ArXivPDFHTML

Papers citing "Software-Defined Networking-based Crypto Ransomware Detection Using HTTP Traffic Characteristics"

4 / 4 papers shown
Title
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources
Siddhant Dutta
Iago Leal de Freitas
Pedro Maciel Xavier
Claudio Miceli de Farias
David E. Bernal Neira
AI4CE
FedML
136
0
0
23 Nov 2024
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
23
137
0
24 Aug 2016
Security - a perpetual war: lessons from nature
Security - a perpetual war: lessons from nature
W. Mazurczyk
Elzbieta Rzeszutko
28
15
0
17 Oct 2014
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