Deep learning and data mining applications in the cybersecurity paradigm to fight cyber-attacks

Abstract

This study examines a highpotential routing algorithm for cyber security that can be used in WSNbased IoT applications with huge traffic volumes DM was the most effective and cuttingedge tool for discovering previously undetected important trends and patterns to boost an employees performance Data mining expertise is becoming more and more crucial for all firms Data collection helps identify previously undiscovered and highly profitable data in massive amounts of data Finding new patterns in a massive amount of data was the main goal of database information discovery It combines various fields including algorithms AI and statics Users can view raw data from various IoTbased Applications thanks to DM which organises a huge collection of data into a logical framework and extracts important information As a result the Internet of Things IoT is a network of actual physical objects or things that are linked together by computers devices and networks in order to gather and share data The BS informs the Cluster heads to carry out tasks like help and trust to start the global calculation and the agent at each CH then gives the CMs instructions to start the local calculation