Wireless Communication in Cyber Security

8AI-Enabled Threat Detection and Security Analysis

A. Saran Kumar¹*, S. Priyanka², V. Praveen¹ and G. Sivapriya²

¹ Bannari Amman Institute of Technology, Sathyamangalam, Tamil Nadu, India

² Kongu Engineering College, Erode, Tamil Nadu, India

Abstract

Threat detection is a way of analyzing the entire system to predict the malicious things that take place over the network. Generally, threat detection methods include configuration, indicator, modelling and threat behavior. Currently, a Phishing attack is one of the popular attacks that happen in the internet and it grows in an exponential manner. It steals highly sensitive information through a website that closely resembles an authorized website. Phishing includes not only sending emails and waiting for the reply but also includes taking the information that is bypassed through digital communication medium. Normally technophile will induce the user to collect the information from managerial assets and networks. Recently, Artificial intelligence is the best way to analyze the vast amount of data. With the advent of artificial intelligence techniques, threat detection software behaves like a technophile which in turn helps to identify the cyber criminals. Currently, several Deep Learning algorithm can be used to predict phishing websites and anomalous behavior. This work incorporates recurrent neural networks combined with Adam optimizer to build a hybrid learning model to assess whether a website URL is good or bad. The proposed ...