INTRUSION DETECTION AND PREVENTION SYSTEM IN SME'S LOCAL NETWORK BY USING SURICATA

Abstract

In the present era, Cybercriminals are increasingly focusing their attention on the local networks of SMEs. Due to the lack of resources and skilled workers in the cybersecurity field., SMEs struggle to prevent and detect fraudulent activities within their networks. To address this challenge, an Intrusion Detection and Prevention System (IDPS) is crucial for optimising network security in SMEs. This research paper explores the implementation of Suricata, an IDS/IPS tool, on a Raspberry Pi 2B embedded platform to create an effective IDPS for SMEs'  the study demonstrates the viability of Suricata on low-budget IoT networks with low data traffic. Previous research has shown that Suricata outperforms other systems such as Snort in terms of accuracy and packet loss rate when running on multi-core configurations. The proposed solution offers real-time intrusion detection and prevention capabilities, protecting small business networks from unauthorised access and providing users with timely notifications of network attacks. With Suricata running on OPNsense, SMEs can enhance their network security and safeguard their valuable assets against intrusions.