Open AccessReview on Detection of DDOS Attack using Machine Learning
Author(s) -
Tejaswini Ulemale
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.40742
Subject(s) - denial of service attack , trinoo , application layer ddos attack , computer science , computer security , computer network , artificial intelligence , server , interrupt , operating system , embedded system , the internet , microcontroller
Now days due to digitalization the drastic increment towards Computer technology and Computer network is increased rapidly. Various types of works are turned into Online Mode so due to increment in network connection various attack are been perform. One of the dangerous and powerful attack is Distributed Denial of Service [DDOS] is one of the major issues in the computer network. The Attacker target the server with the help of DDOS and tries to interrupt normal traffic. The Denial-ofservice consist of subclass which includes Distributed denial of service. Therefore, to prevent the DDOS attack many researches have been carried out. To Prevent DDOS common technique which includes Machine learning and deep learning. The main focus is to detect DDOS attack. Keywords: Computer Network, DDOS, Machine Learning, Deep Learning.