Improving the DDoS Protection and A.I. Systems Using Wireshark

Cyber-attacks like Distributed Denial of Service (DDoS) and Denial of Service (DoS) negatively affect the functioning of a computer or a server by overloading the victim with data packets. The aim of the study is to formulate a strategy to improve the protection against such attacks and also improve the performance of the hardware as well as the Artificial Intelligence (A.I.) based systems while also filling the gap of conducting a comparative analysis of network analysis tools in order to find the most optimal network analysis tool, and settings to help with the protection against cyber-attacks. The role of Wireshark network analysis software in the reduction of the harmful effects on the hardware, and identification of the origin of such attacks is evaluated. The PC performance aspects like Memory, HDD, CPU, and Disk are benchmarked, analyzed and the effectiveness of the network analysis tools is observed through empirical evaluation. Data of primary type is obtained through experimentation while data of secondary type is collected by a literature review of the recent research papers. The main research results show that Wireshark can improve the performance of the hardware at least by 5% during an attack when compared with the scenario of not using a network analysis software. Through hypothesis testing and comparative analysis, it is concluded that Wireshark is the most optimal network analysis software which is also found to be less burdensome on hardware than other network analysis tools. Cost Effective Protection Framework is created to improve the monitoring, analysis and protection capabilities of users that use A.I. systems as well as those that do not use it. The future research is possible by expanding the framework to cover more users, more A.I. systems, testing more network analysis tools, and discovering more filters to improve the protection capabilities.