ICDF: Intrusion collaborative detection framework based on confidence
Author:
Affiliation:
1. College of Cyber Science Nankai University Tianjin China
2. Institute of Artificial and Intelligence Guangzhou University Guangzhou China
3. National Key Laboratory of Science and Technology on Information System Security Beijing China
Funder
National Natural Science Foundation of China
Publisher
Hindawi Limited
Subject
Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22877
Reference37 articles.
1. Use of Data Visualisation for Zero-Day Malware Detection
2. Intrusion detection techniques and approaches
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4. Data mining-based intrusion detectors
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