Exploration of Machine Learning Algorithms for Development of Intelligent Intrusion Detection Systems-Reference-Cited by-同舟云学术

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Exploration of Machine Learning Algorithms for Development of Intelligent Intrusion Detection Systems

Published:2023-05-17 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Communication, Computing and Digital Systems (C-CODE)
language:
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Author:

Jannat Adnan¹,Hayat Umar²,Sadiq Touseef³

Affiliation:

1. Bahria University,Cyber Reconninance and Combat (CRC) Lab,Islamabad,Pakistan

2. Bahria University,Islamabad,Pakistan

3. University of Agder Jon Lilletuns,Center for AI Research,Grimstad,Norway

Funder

Bahria University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10139854/10139858/10139885.pdf?arnumber=10139885

Reference42 articles.

1. Semi-supervised multi-layered clustering model for intrusion detection

2. Review of ids develepment methods in machine learning;reaz;International Journal of Electrical and Computer Engineering (IJECE),2016

3. Deep Learning for Network Anomalies Detection

4. Survey of intrusion detection systems: techniques, datasets and challenges

5. Intrusion Detection Algorithm Based on Semi-supervised Learning

Cited by 1 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. Machine Learning based Intrusion Detection System for IoT Applications using Explainable AI;Proceedings of the 2023 Asia Conference on Artificial Intelligence, Machine Learning and Robotics;2023-09-15

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