A NOVEL APPROACH TO ARTIFICIAL INTELLIGENCE FOR EFFECTIVE KIND OF CYBER SECURITY
DOI:
https://doi.org/10.17605/OSF.IO/WFQ4RKeywords:
Artificial Intelligence, Network Intrusion Detection and Prevention, Machine Learning, Cyber security, Network securityAbstract
Cyber infrastructures are vastly vulnerable to intrusions and other threats. Physical devices and human interference are not sufficient for monitoring and protection of these infrastructures. Cyber security is the main concern for today’s digital world, there are still uncertainties about the impact of AI. Corporates and government sectors are trying to master AI and Machine Learning for the protection of data and creating more opportunities in the respective field. AI permits you to automate the finding of threat and combat even without the involvement of the humans. Controlling your data to stay more secure than ever. Since AI is totally machine language driven, it gives surety you complete error-free cyber-security services. Researchers have also started to put more resources than ever for boosting AI driven technologies. The most important component used to detect cyber attacks or malicious activities is the intrusion detection system (IDS). Artificial intelligence plays a vital role in detecting intrusions and widely considered as the better way in adapting and building IDS. This paper focuses on different current AI techniques that can be used in support of Intrusion Detection Systems to provide better Intrusion Detection & Prevention.
Downloads
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.















