Cyber Threat Detection using Deep Learning

Cyber Threat Detection using Deep Learning

Author Name : Mr. Saurabh Bhardwaj, Arpan Gupta, Shivang Saini, Sahil Billaiya, Jitendra Sharma

ABSTRACT

 Our Invention Cyber Threat Detection utilizing Deep Learning is the risks of advanced risks and cybercrimes are extending. The term 'computerized risk' is suggested as the criminal way of behaving performed using the Internet. Cybercriminals are changing their strategies with time to slip by through the mass of safety. Conventional procedures are not good for recognizing zero-day attacks and present day attacks. As yet, piles of AI strategies have been made to distinguish the cybercrimes and battle against advanced risks. Autoencoders, restricted Boltzmann machines, dreary brain associations, generative not well arranged associations, and a couple of others. Then we discuss how all of the DL methods is used for security applications. We cover a wide display of attack types including malware, spam, insider risks, network interferences, fake data mixture, and poisonous space names used by botnets.