Design and Analysis of NICS Based Web Attack Detection for Advanced Intrusion Detection System

Abstract

Worldwide Web has been the most prominent data sources since its inception, and several technologies have emerged around it and finally amalgamated with it. With the decades of progression and advancements, web is still structuring and welcoming latest technologies. However, cyber threats are also raising and becoming the concern. Since last decade, the defensive methods in Cyber Security domain have also transformed from conventional pattern/rule-based response systems to more active defensive systems. The active defensive methods are now equipped with Artificial Intelligence and Machine Learning techniques which are capable enough to learn and respond quickly to an entirely new cyber-attack. However, these techniques needs training and sometimes fail to perform in case of incomplete or inaccurate training data. Nature-inspired Cyber Security attempts to deliver robust solution to this problem as they are fundamentally tolerant to the missing, incomplete and inaccurate data. While the development both in Worldwide Web and Cyber Security is still continuing, the researchers are working on advanced security measures to make the worldwide web safe in all respects. This paper focuses on the design and analysis of NICS-based web attack detection system in cooperation with the existing Intrusion Detection System (IDS), by experimenting with the methods and procedures of Nature-inspired Cyber Security to generate adaptive responses against advanced cyber-attacks. The proposed method is tested and validated on multiple attack scenarios and achieved better results in early detection of suspicious activities of web attacks for IDS.