In this paper, a new method of tracking malicious domain and victim machine by scalability system named CC-Tracker (Cyber Criminal Tracker) based on HTTP is ...
CC-Tracker: Interaction Profiling Bipartite Graph Mining for Malicious ...
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In this paper, a new method of tracking malicious domain and victim machine by scalability system named CC-Tracker. (Cyber Criminal Tracker) based on HTTP is ...
MD‐MinerP: Interaction Profiling Bipartite Graph Mining for Malware ...
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Oct 29, 2020 · This paper proposes a malicious domain detection system based on a novel bipartite graph called MD-Miner P.
Jun 27, 2024 · CC-Tracker: Interaction Profiling Bipartite Graph Mining for Malicious Network Activity Detection. DSC 2018: 1-8; 2017. [c1]. view. electronic ...
CC-Tracker: Interaction profiling bipartite graph mining for malicious network activity detection. TH Jeng, YM Chen, CC Chen, CC Huang, KS Chou. 2018 IEEE ...
Graph Mining for Cybersecurity: A Survey · CC-Tracker: Interaction Profiling Bipartite Graph Mining for Malicious Network Activity Detection. Citing Conference ...
Apr 25, 2024 · CC-Tracker: Interaction Profiling Bipartite Graph Mining for Malicious Network Activity Detection. ... Malware-Control Domain Detection ...
Jan 1, 2020 · As a result, malicious servers are difficult to detect and remove. Furthermore, the clues of cybercrime are stored in network traffic logs, but ...
Kuo-Sen Chou's 6 research works with 71 citations, including: CC-Tracker: Interaction Profiling Bipartite Graph Mining for Malicious Network Activity ...
CC-Tracker: Interaction Profiling Bipartite Graph Mining for Malicious Network Activity Detection · Computer Science. International Conference on Data Science in ...