Implementation of Intrusion Detection and Prevention System Based on Software Approachs

Abstract

The detection of security vulnerabilities is ever more difficult as cyber-attacks get more complicated. The faith in security services like data confidentiality and integrity is eroded by a failure to prevent security breaches. The literature has suggested a number of intrusion detection techniques to counter computer security risks. This effort aims to create an intrusion detection and prevention system, or "IDPS,” An integrated system that maximizes each factor`s advantages while reducing its disadvantages is the proposed solution for intrusion prevention. By demonstrating how attackers can elude detection. The outcome of this research is a security system that can recognize attack attempts, block the IP address of the attacker, and carry out network forensic investigations. According to the findings of our study, Snort the IPS mode in PfSense, can identify assaults aimed at your system, and PfSense, having visualization capability, immediately implements preventive actions by blocking the attacker`s IP address. Network forensics can use this method to conduct an investigation into an attack and determine whether the attack is having a negative impact based on the alarms produced by the snort. It also sheds light on potential future research challenges to stop these attacks and strengthen computer systems` security.