Open AccessA Comprehensive Analysis and Solution of Cyber Attacks using Machine Learning Techniques
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l1019.10812s319
Subject(s) - intrusion detection system , computer science , computer security , network security , buffer overflow , port (circuit theory) , intrusion , flooding (psychology) , cyber attack , cyber threats , computer network , engineering , psychology , electrical engineering , geochemistry , psychotherapist , geology
Cyber security is a major problem of modern societyso that Vulnerabilities of computer Network is become easy withthe help of technologies and human skills. Now day’s differencetype of attacks occurred for example DOS attack, Probing, R2U,R2L virus, port scans, buffer overflow, CGI Attack and floodingetc. We need a platform where a system can be developed forrecognition and prevention of these attacks. In This paper, mostof the latest methods are summarised to implement IDS for cybersecurity. Intrusion Detection Systems is a most suitable solutionfor cyber attacks. Machine learning based Intrusion DetectionSystems have high accuracy, in rapidly changing environment.This paper discusses which type of ML techniques has lowaccuracy, so it explore some research area for researcher.