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    Anomaly Based Intrusion Detection Using Machine Learning Techniques

    Abstract: Detection of Cyberattacks/anomalies in a network to build an efficient Intrusion Detection System (IDS) is very important. A system called an intrusion detection system (IDS) monitors network traffic in order to find suspicious activity and sends out signals when it is noticed. Monitoring and data analysis are designed with the objective of finding any network or system intrusions. Machine learning methods can anticipate both known and unidentified attacks. This project …

    Published in Journal Of Network security · Vol. 10, Issue 2, 2022 · pp. 1–8 Read article

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