An Intrusion Detection System for Zero-Day Attacks to Reduce False Positive Rates

Author:

Pitre Priya1,Gandhi Arya1,Konde Vaishnavi1,Adhao Rahul1,Pachghare Vinod1

Affiliation:

1. College of Engineering, Pune (COEP),Dept of Computer Engg and IT,Pune,India

Publisher

IEEE

Cited by 7 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. Zero Day Attack Detection and Simulation through Deep Learning Techniques;2024 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence);2024-01-18

2. Analyzing Autoencoder-Based Intrusion Detection System Performance;Journal of Information Security and Cybercrimes Research;2023-12-17

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

5. Nesting Circles: An Interactive Visualization Paradigm for Network Intrusion Detection System Alerts;Security and Communication Networks;2023-06-16

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