Open AccessAssorted Attack Detection for IoT
Author(s) -
Mareeswari Govindaraj
Publication year - 2020
Publication title -
international journal of research in engineering, science and management
Language(s) - English
Resource type - Journals
ISSN - 2581-5792
DOI - 10.47607/ijresm.2020.285
Subject(s) - computer science , computer network , computer security , internet of things , node (physics) , transmission (telecommunications) , protocol (science) , key (lock) , variety (cybernetics) , data transmission , wireless network , wireless sensor network , wireless , telecommunications , engineering , artificial intelligence , medicine , alternative medicine , structural engineering , pathology
While IoT has huge social impact, it comes with a number of key security Challenges. Smart devices are vulnerable to variety of attacks. In this project, we propose the solution to detect all types of attacks in an IoT environment. For this, we initially create the wireless network and then implement mobility and energy in every node of the network. Later we intentionally create some malicious in the network for detecting the attacks. Then, we Perform data transmission between the nodes as a regular manner. For data transmission we used AODV protocol. Finally, we identified the malicious behavior and perform analysis on that collected data and then detected the attacks. It also detected the types of attack occurred.