Survey on Framework for Governing Modern Cyber Attacks in Computer Network
Aditya Rajendra More, Onkar Balasaheb Shendkar, Kunal Gorakshanath Pathak, Prasad Dinesh Sanap, Sachin Navnath Pachore, P. William
Abstract
Since some decades ago, cybercrimes have not only increased but it is also becoming more complex. The attackers are using more sophisticated techniques for data breaching. As humans take more time to understand the patterns of cyber-attacks, traditional methods of cyber security were not as much relevant. Henceforth, in the late 1980s the concept of artificial intelligence combined with cyber security, came into existence. Due to the machine learning and deep learning concepts humans teach the machine to detect the threats. By taking the help of big data machine learn the different patterns of attacks. By the concepts of deep learning the machine is able to learn from experiences, it can remember the patterns of different attacks. Neural networks make it possible for a machine to think like humans. Now when a threat arises the artificial intelligence is able to detect and take an action against it. It is true that the artificial intelligence has totally changed the world of cyber security but now also there are some questions in the human mind. This paper includes the basics of Artificial intelligence, Machine learning, Deep learning, AI in cyber security and many more collected through the survey of different papers.