An Intrusion Detection System for Zero-Day Attacks to Reduce False Positive Rates
Author:
Affiliation:
1. College of Engineering, Pune (COEP),Dept of Computer Engg and IT,Pune,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9725432/9725433/09726105.pdf?arnumber=9726105
Reference25 articles.
1. Automatic Feature Selection and Ensemble Classifier for Intrusion Detection
2. A Hybrid Real-time Zero-day Attack Detection and Analysis System
3. Design and analysis of a hybrid security framework for zero-day attack;cuppah;International Journal of Applied Engineering Research,2020
4. Newest collaborative and hybrid network intrusion detection framework based on suricata and isolation forest algorithm
5. Unknown Attack Detection: Combining Relabeling and Hybrid Intrusion Detection
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3. Zero-day attacks: review of the methods used based on intrusion detection and prevention systems;2023 IEEE Colombian Caribbean Conference (C3);2023-11-22
4. Zero-Day Attack Detection and Prevention;2023 7th International Conference On Computing, Communication, Control And Automation (ICCUBEA);2023-08-18
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