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20172026
most citedThreat analysis of IoT networks Using Artificial Neural Network Intrusion Detection System

444 citations · 1.3k across the 22 of their papers we have counts for

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5 papers · 1 filter

cs.NE2017★ 444 cited

Threat analysis of IoT networks Using Artificial Neural Network Intrusion Detection System

Elike Hodo, Xavier Bellekens, Andrew Hamilton +4

The Internet of things (IoT) is still in its infancy and has attracted much interest in many industrial sectors including medical fields, logistics tracking, smart cities and autom…

cs.DC2017★ 7 cited

GLoP: Enabling Massively Parallel Incident Response Through GPU Log Processing

Xavier Bellekens, Christos Tachtatzis, Robert Atkinson +2

Large industrial systems that combine services and applications, have become targets for cyber criminals and are challenging from the security, monitoring and auditing perspectives…

cs.DC2017★ 11 cited

A Highly-Efficient Memory-Compression Scheme for GPU-Accelerated Intrusion Detection Systems

Xavier Bellekens, Christos Tachtatzis, Robert Atkinson +2

Pattern Matching is a computationally intensive task used in many research fields and real world applications. Due to the ever-growing volume of data to be processed, and increasin…

cs.DS2017

Trie Compression for GPU Accelerated Multi-Pattern Matching

Xavier Bellekens, Amar Seeam, Christos Tachtatzis +1

Graphics Processing Units allow for running massively parallel applications offloading the CPU from computationally intensive resources, however GPUs have a limited amount of memor…

cs.CR2017★ 213 cited

Shallow and Deep Networks Intrusion Detection System: A Taxonomy and Survey

Elike Hodo, Xavier Bellekens, Andrew Hamilton +2

Intrusion detection has attracted a considerable interest from researchers and industries. The community, after many years of research, still faces the problem of building reliable…