Perimeter Intrusion Detection with Multi Layer Perception using Quantum Classifier
A. Thirumalairaj, M. Jeyakarthic · 2020 Fourth International Conference on Inventive Systems and Control (ICISC) · 2020
Intrusion Detection System (IDS) is a security system that serves the network as a layer of protection. The IDS technology has grown tremendously over the years to keep up with the rise of computer crime. Since the advent of technology in the mid-80s, research has been carried out to improve the ability and to detect attacks without losing the efficiency of the network. In this paper, two approaches have been proposed in the learning phase using PID (Perimeter Intrusion Detection) with MLP (Multi-Layer Perception) and quantum classifiers to resolve the issues in ID, and then the PID with MLP and quantum classifier algorithm universally useful is to characterize a gathering of articles dependent on preparing and test. In order to achieve all parameters such as efficiency, accuracy and higher consistency used these proposed methods.