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Large industrial systems that combine services and applications, have becometargets for cyber criminals and are challenging from the security, monitoringand auditing perspectives. Security log analysis is a key step for uncoveringanomalies, detecting intrusion, and enabling incident response. The constantincrease of link speeds, threats and users, produce large volumes of log dataand become increasingly difficult to analyse on a Central Processing Unit(CPU). This paper presents a massively parallel Graphics Processing Unit (GPU)LOg Processing (GLoP) library and can also be used for Deep Packet Inspection(DPI), using a prefix matching technique, harvesting the full power ofoff-the-shelf technologies. GLoP implements two different algorithm usingdifferent GPU memory and is compared against CPU counterpart implementations.The library can be used for processing nodes with single or multiple GPUs aswell as GPU cloud farms. The results show throughput of 20Gbps and demonstratethat modern GPUs can be utilised to increase the operational speed of largescale log processing scenarios, saving precious time before and after anintrusion has occurred.

GLoP: Enabling Massively Parallel Incident Response Through GPU Log Processing