1Research Scholar, SITE VIT University, Vellore, India
2Associate Professor, SITE VIT University, Vellore, India
Online published on 7 December, 2018.
Social networks are the most common type of interaction between people these days. Attacks on these networks are currently at an all time high which can be by corrupting the data, introducing malicious data, getting access to confidential data or intrusion on the network. The main requirement is providing security to such networks. As and when security is being provided to these networks, attacks are also evolving. Cyber attacks are becoming complex which means that sometimes the threat for which the solution needs to be found is unknown. Threats are becoming automated, which means threats are AI induced. If threats are AI induced, using less efficient algorithms for cyber security is not the optimal solution. Hence Machine learning algorithms are used in conjunction to provide cyber security for social networks.
Attacks, cyber security, intrusion, machine learning, social networks