Know Abnormal, Find Evil: Frequent Pattern Mining for Ransomware Threat Hunting and Intelligence-Reference-Cited by-同舟云学术

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

Published:2020-04-01 Issue:2 Volume:8 Page:341-351
ISSN:2168-6750
Container-title:IEEE Transactions on Emerging Topics in Computing
language:
Short-container-title:IEEE Trans. Emerg. Topics Comput.

Author:

Homayoun Sajad^ORCID,Dehghantanha Ali^ORCID,Ahmadzadeh Marzieh,Hashemi Sattar,Khayami Raouf

Funder

European Council 268 International Incoming Fellowship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Human-Computer Interaction,Information Systems,Computer Science (miscellaneous)

Link

http://xplorestaging.ieee.org/ielx7/6245516/9109372/08051108.pdf?arnumber=8051108

Cited by 118 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evolving techniques in cyber threat hunting: A systematic review;Journal of Network and Computer Applications;2024-12

2. Fight Malware Like Malware: A New Defense Method Against Crypto Ransomware;IEEE Transactions on Dependable and Secure Computing;2024-09

3. Navigating the Threat Landscape in the Metaverse;Advances in Information Security, Privacy, and Ethics;2024-08-21

4. A Ransomware Early Detection Model based on an Enhanced Joint Mutual Information Feature Selection Method;Engineering, Technology & Applied Science Research;2024-08-02

5. Federated Analytics-Empowered Frequent Pattern Mining for Decentralized Web 3.0 Applications;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20

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