An Evolutionary Approach Towards Achieving Enhanced Intrusion Detection System-Reference-Cited by-同舟云学术

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An Evolutionary Approach Towards Achieving Enhanced Intrusion Detection System

Published:2022-04-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON)
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Author:

PopoOla Olugbemiga Solomon¹,Ayogu Ikechukwu Ignatius²,MebawOndu Olamatanmi Josephine³,Ugwu Chukwuemeka Christian⁴,Adetunmbi AdebayO OlusOla⁴

Affiliation:

1. Ọsun State College of Education,Department of Computer Science,Ila-Ọrangun,Nigeria

2. Federal University of Technology,Department of Computer Science,Owerri,Nigeria

3. Federal Polytechnic,Department of Computer Science,Nasarawa,Nigeria

4. Federal University of Technology,Department of Computer Science,Akurẹ,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9802998/9802999/09803176.pdf?arnumber=9803176

Reference24 articles.

1. AI-based mobile context-aware recommender systems from an information management perspective: Progress and directions

2. A Distributed Denial of Service Attack Detection System using Long Short Term Memory with Singular Value Decomposition

3. Design of a Secure Public Accounts System for Enhanced War Against Corruption Using Intelligent Software Agent

4. Sequence aggregation rules for anomaly detection in computer network traffic;radford,2018

5. Designing a network intrusion detection system based on machine learning for software defined networks;alzahrani;MDPI Future Internet 2021,2021

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