Enhancing Network Intrusion Detection Through Dynamic IP Blacklisting-Reference-Cited by-同舟云学术

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Enhancing Network Intrusion Detection Through Dynamic IP Blacklisting

Published:2024-02-02 Issue: Volume: Page:206-210
ISSN:
Container-title:Proceedings of the 2024 16th International Conference on Machine Learning and Computing
language:
Short-container-title:

Author:

Lu Zhiyan¹^ORCID,Yang Hao²^ORCID,Wu Hao³^ORCID,Niu Yanli⁴^ORCID

Affiliation:

1. School of Computer Science and Engineering, University of Electronic Science and Tecnology of China, China

2. State Grid JiangXi Electirc Power Research Institute, China

3. Primary School of Caiyunhu, China

4. Unit 31309 of the People's Liberation Army, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3651671.3651698

Reference21 articles.

1. A Deep Study of Novel Intrusion Detection Systems and Intrusion Prevention Systems for Internet of Things Networks

2. A hybrid intrusion detection system design for computer network security

3. MGA-IDS: Optimal feature subset selection for anomaly detection framework on in-vehicle networks-CAN bus based on genetic algorithm and intrusion detection approach

4. An improved binary manta ray foraging optimization algorithm based feature selection and random forest classifier for network intrusion detection

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