IDS

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• Published Subscription 14 Sep 2024

  Network Intrusion Detection Using Wireshark and Machine Learning

  By D Chandravathi, P.V.S.S. Praneeth, Abida Sakina, Kotti Anjanaa, Botcha_123

  Abstract: The growth of networked devices has highlighted the desire for advanced intrusion detection (IDS) tools to protect digital systems from evolving cyber threats. Traditional IDS systems are often difficult to adapt to the threat environment because they rely on predefined signature lists. This study presents a new approach that combines Wireshark, a widely used network packet analysis tool, with advanced machine learning for intrusion detection. Our system leverages Wireshark's data …

  Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 23–31 Read article →

• Published Subscription 29 May 2024

  Intrusion Detection System Using Gated Recurrent Neural Network

  By Purushotam Naidu K., S. Deepika, N. Sri Ramya, N. Sharmila, K. Vaishnavi, P. Bhavitha

  Abstract: In the realm of cybersecurity, the constant evolution of threats demands sophisticated intrusion detection systems (IDSs) capable of discerning intricate patterns in network traffic. This study proposes an IDS leveraging the capabilities of gated recurrent neural networks (GRNNs) to enhance the detection of anomalies and potential security breaches. The GRNN architecture, employing mechanisms like long short-term memory (LSTM) and gated recurrent unit (GRU), demonstrates efficacy in capturing long-range dependencies within …

  Published in International Journal of Software Computing and Testing · Vol. 10, Issue 1, 2024 · pp. 1–8 Read article →