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Accelerating Suricata with pattern-matching metadata
Tobolík, David ; Kekely, Lukáš (oponent) ; Šišmiš, Lukáš (vedoucí práce)
Suricata is a network monitoring application inspecting packets using a set of rules to detect malicious activity. One of the main detection mechanisms is pattern-matching, however, it is a resource-intensive process taking up most of the application processing time. This thesis focuses on designing a new component to help reduce the amount of pattern-matching in Suricata. The new component was implemented in an application called DPDK Prefilter used to simulate specialized hardware components using software implementation. It adds detection metadata to packets, which are used in Suricata to potentially skip patterns matching if the packet was checked and no patterns were found. The implementation utilizes DPDK for inter-process communication and sharing data, and Hyperscan was used as a pattern-matching engine. Different types of detection metadata were designed and implemented and some of them have shown improvements in the performance of Suricataby reducing the amount of pattern-matching.

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