1 publication

• 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 →