Semantic caching framework, an application to FPGA-based application for IoT security monitoring

Laurent d'Orazio (1, 2, 3) , Julien Lallet

1 IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires
2 LIMOS - Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes
3 SHAMAN - Symbolic and Human-centric view of dAta MANagement

Security monitoring is one subdomain of cybersecurity which aims to guarantee the safety of systems, continuously monitoring unusual events. The development of Internet Of Things leads to huge amounts of information, being heterogeneous and requiring to be efficiently managed. Cloud Computing provides software and hardware resources for large scale data management. However, performances for sequences of on-line queries on long term historical data may be not compatible with the emergency security monitoring. This work aims to address this problem by proposing a semantic caching framework and its application to acceleration hardware with FPGA for fast-and accurate-enough logs processing for various data stores and execution engines.

Domaines: Base de données [cs.DB]

Laurent d'Orazio, Julien Lallet. Semantic caching framework, an application to FPGA-based application for IoT security monitoring. Open Journal of Internet of Things, 2018. ⟨hal-01857359⟩