Deep Learning for Improving Attack Detection System Using CSE-CICIDS2018

Volume 20 No 6 (2022)

*Abdulnaser A. Hagar, Bharti W. Gawali

DOI: 10.14704/nq.2022.20.7.NQ33385

Abstract

Intrusion Detection Systems (IDS) are critical components of cyber security because they recognize network anomalies traffic. Severe security concerns are currently posed to the Internet and computer networks. These threats always evolve and will eventually mutate into new and undiscovered varieties. We propose putting it into action for deep learning algorithms to preserve network security

Keywords

Intrusion Detection, Cybersecurity, CNN, LSTM, RNN, CSE-CICIDS2018

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