A Novel Approach to Website Security: Enhanced Packet Sniffing with Artificial Neural Network

Abstract

Artificial intelligence (AI) technology is a broad, cutting-edge discipline that is evolving, as well as an essential study path in the domains of science, computer engineering, and technology. It has the potential to transform the traditional working style of artificial hosting by promoting the computer server to do continuous intelligent analysis, allowing technicians to work less and achieve greater data processing efficiency. This is the key reason for proposing an AI based solution for website security in this paper.

This research focuses on identifying the existing challenges on website security based on the user feedback, literature review and analysis of the security posture of a few websites. The user feedback was collected through the survey of more than 150 users. Based on the identified challenges in website security an Artificial Intelligence (AI) based framework proposed to mitigate the possible risks of those identified challenges. AI is capable of handling massive amounts of data, clarifying data correlations, and cope with extremely complicated situations. Artificial intelligence technology can imitate the human brain’s cognitive mode and perform several activities such as data deep analysis and learning, effective data processing, real-time human computer interaction, and so on.