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- W3080920691 abstract "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." @default.
- W3080920691 created "2020-09-01" @default.
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- W3080920691 date "2020-01-01" @default.
- W3080920691 modified "2023-09-23" @default.
- W3080920691 title "Perimeter Intrusion Detection with Multi Layer Perception using Quantum Classifier" @default.
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- W3080920691 doi "https://doi.org/10.1109/icisc47916.2020.9171159" @default.
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