Threat Intelligence System Using Suricata by Dynamic Method

With the adding complication of cyber risks, integrating Intrusion Discovery Systems (IDS) with real- time trouble intelligence has come vital. This study focuses on the dynamic integration of Suricata, an open- source IDS, with trouble intelligence feeds to enhance network security. Unlike traditional stationary rule- predicated approaches, the proposed system enables Suricata to roundly contemporize its rules and signatures predicated on live trouble intelligence feeds. This ensures real- time severity to arising risks and minimizes discovery gaps. The performance leverages automation tools, APIs, and custom scripts to bring, parse, and integrate trouble data efficiently. Performance evaluation demonstrates bettered discovery delicacy and reduced response times. This dynamic approach strengthens visionary trouble discovery and response, making network security more flexible to evolving cyber risks.