Project Abstract

Cybersecurity is critical in today’s digital landscape, as the expansion of network applications has resulted in a surge in sophisticated cyber threats. This project focuses on using Suricata software to analyze the cybersecurity of complex systems, with a special emphasis on enterprise networks. The impetus for this research stems from the urgent need to strengthen information security measures to protect against malware interceptions, network vulnerabilities, and unauthorized access attempts. Suricata, an open-source network intrusion detection system (NIDS), has advanced features such as signature detection, protocol analysis, and anomaly detection. This study intends to provide a full knowledge of Suricata’s effectiveness in improving cybersecurity within enterprise networks by utilizing a mixed-methods approach that combines quantitative and qualitative methodologies. The goals include understanding Suricata’s program, establishing it as an IDS/IPS solution, configuring network interfaces, monitoring network traffic, evaluating its functionality, and providing real-time warnings via Elasticsearch. This study helps to close the knowledge gap by applying Suricata to real-world scenarios in enterprise environments, addressing particular steps like virtualization and rule set deployment, and recommending the usage of Elasticsearch for instantaneous alerts and notifications. Overall, this Project demonstrates the importance of Suricata in strengthening cybersecurity defenses against emerging cyber attacks in complex systems such as enterprise networks.

Keywords: Cyber Security, Suricata, Virtual Network

 Conference Details

Session: Presentation Stream 3 at Presentation Slot 7

Location: GH029 at Tuesday 7th 13:30 – 17:00

Markers: Deb Roy, Solmaz safari

Course: MSc Computer Science, Masters PG

Future Plans: I’m looking for work