1 publication

• Published Subscription 7 Jul 2021

  Convolution Neural Network Model for Intrusion Detection in Network

  By Shanthi Therese S., Akash Chhabra, Abhishek Chaturvedi, Shikhar Chaudhary

  Abstract: The evolution of the internet has made protecting information a necessity. Network intrusion and prevention plays an integral role in network-based security. The Intrusion technologies primarily used in today’s world deploy various machine learning algorithms and train models based on them resulting in effectively low detection rates. A technical advancement from machine learning, Deep Learning employs complex mechanisms to extract features from samples. As observed that conventional intrusion detection systems …

  Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 8, Issue 1, 2021 · pp. 7–13 Read article →