A Study of Cyber Security using Machine Learning Techniques
R. Devakunchari1, Sourabh2, Prakhar Malik3
1R. Devakunchari, Assistant Professor, SRM Institute of Science and Technology, Chennai (TamilNadu), India.
2Sourabh, UG Student, SRM Institute of Science and Technology, Chennai (TamilNadu), India.
3Prakhar Malik, UG Student, SRM Institute of Science and Technology, Chennai (TamilNadu), India.
Manuscript received on 15 May 2019 | Revised Manuscript received on 22 May 2019 | Manuscript Published on 10 July 2019 | PP: 183-186 | Volume-8 Issue-7C2 May 2019 | Retrieval Number: G10430587C219/19©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Within the ever-growing and quickly increasing field of cyber security, it is nearly impossible to quantify or justify the explanations why cyber security has such an outsized impact. Permitting malicious threats to run any place, at any time or in any context is a long way from being acceptable, and may cause forceful injury. It particularly applies to the Byzantine web of consumers and using the net and company information that cyber security groups are finding it hard to shield and contain. Cyber security may be a necessary thought for people and families alike, also for businesses, governments, and academic establishments that operate inside the compass of world network or net. With the facility of Machine Learning, we will advance cyber security landscape. Businesses these days are gathering immense amounts of user information. Information is at the heartbeat of any business-critical system you’ll be able to think about. This co-jointly includes infrastructure systems that are being implemented these days. Today’s high-tech infrastructure, that has network and cyber security systems, is gathering tremendous amounts of data and analytics on almost all the key aspects of mission-critical systems. Whereas people still give the key operational oversight and intelligent insights into today’s infrastructure, machine learning and AI are gaining pace and gathering immense momentum in most of the areas of today’s systems, whether or not it’s positioned on premise or within the cyber security house.
Keywords: Machine Learning, Cyber Security, k-Means, Random Forest, SVM etc.
Scope of the Article: Machine Learning