Real-Time Cyber Threat Detection and Response System
Author(s): Pulicherla Hari Krishna, Dr M C Bhanu Prasad
Publication #: 2504043
Date of Publication: 14.04.2025
Country: India
Pages: 1-13
Published In: Volume 11 Issue 2 April-2025
Abstract
As wireless communications evolve, many community protection threats additionally evolve. Intrusion Detection System (IDS) detects assaults and facilitates perceive attackers. In the past, various system mastering (ML) strategies have been used with intrusion detection systems (IDS) in an attempt to improve intrusion detection effects and enhance the accuracy of IDS. Using major issue analysis (PCA), random woodland class, SVM, and naive base algorithms, this work proposes a method to expand an effective IDS. According to the effects of the proposed approach, the execution time (min) is three.24 mins, the accuracy charge (%) is 96.Seventy eight%, and the mistake rate (%) is zero.21%.
Keywords: Artificial Intelligence; Cyber Security; Internet, Mobile Application, PCA, Random Forest
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