Network Intrusion Detection Using Machine Learning-Reference-Cited by-同舟云学术

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Network Intrusion Detection Using Machine Learning

Published:2023 Issue: Volume: Page:55-66
ISSN:1876-1100
Container-title:Futuristic Communication and Network Technologies
language:
Short-container-title:

Author:

Prajapati Pratik Kumar,Singh Ishanika,Subhashini N.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-8338-2_4

Reference14 articles.

1. Sinclair C, Pierce L, Matzner S (1999) An application of machine learning to network intrusion detection. In: Proceedings 15th annual computer security applications conference (ACSAC'99), 1999

2. Alqahtani H, Sarker IH, Kalim A, Minhaz Hossain SM, Ikhlaq S, Hossain S (2020) Cyber intrusion detection using machine learning classification techniques. In: International conference on computing science, communication and security, 2020

3. Almseidin M, Alzubi M, Kovacs S, Alkasassbeh M (2017) Evaluation of machine learning algorithms for intrusion detection system. In: 2017 IEEE 15th international symposium on intelligent systems and informatics (SISY), 2017

4. Neethu B (2013) Adaptive intrusion detection using machine learning. IJCSNS Int J Comp Sci Netw Secur 13(3)

5. KAP da Costa, Papa JP, Lisboa CO, Munozb R, VHC de Albuquerque (2019) Internet of Things: a survey on machine learning-based intrusion detection approaches. Int J Comp Sci Inform Secur (IJCSIS)

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1. Data-Driven Network Anomaly Detection with Cyber Attack and Defense Visualization;Journal of Cybersecurity and Privacy;2024-04-09

2. An Efficient Real-Time NIDS Using Machine Learning Methods;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

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