arXiv AI By Dalton Diez, Peyton Andras, Max Shroyer, James Ghawaly Jr

Event-Native Symbolic-Temporal Spike Encoding Framework for Heterogeneous Cyber Streams

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arXiv AI
Jun 2

On the Evaluation of Spiking Neural Network Configurations for Network Intrusion Detection

arXiv:2606. 01442v1 Announce Type: cross Abstract: Network intrusion detection is a core component of modern cybersecurity infrastructure, yet the deep learning models that dominate the field are computationally demanding, motivating interest in lightweight alternatives suited to edge and neuromorphic deployment.

By Raj Patel, David Amebley, Taye Akinrele, Shaswata Mitra, Sayanton Dibbo, Shahram Rahimi
arXiv Machine Learning
Jul 31

ARES: Anomaly Recognition Model For Edge Streams

arXiv:2511. 22078v2 Announce Type: replace Abstract: Many real-world scenarios involving streaming information can be represented as temporal graphs, where data flows through dynamic changes in edges over time.

By Simone Mungari, Albert Bifet, Giuseppe Manco, Bernhard Pfahringer
arXiv Machine Learning
Jun 10

Do Transformers Actually Help Intrusion Detection? A Temporal Sequence Evaluation on CIC-IDS2017

arXiv:2606. 11098v1 Announce Type: cross Abstract: Recent deep learning approaches for network intrusion detection increasingly incorporate temporal architectures such as recurrent networks and Transformers, often reporting near-perfect performance on CIC-IDS2017.

By Zach Moczkodan (Royal Military College of Canada, Kingston, Canada), Hany Ragab (Royal Military College of Canada, Kingston, Canada)