parHSOM: A novel parallel Hierarchical Self-Organizing Map implementation
The digital age has completely transformed the way that information is processed and stored, which makes cybersecurity a crucial field of research. Cybersecurity contains many different domains, but this work focuses on Intrusion Detection Systems (IDSs). Within the literature, Hierarchical Self-Organizing Maps (HSOMs) have been used to create trustworthy, explainable, and AI-based IDSs. However, HSOMs are trained sequentially, which means that training HSOMs on large datasets is slow. This work presents a novel parallel HSOM architecture, called parHSOM. The purpose of this research is to investigate the effect that parallel computation has on the HSOM training time. parHSOM is tested on...
| Authors | Rebekah Lane, Logan Cummins, Andy Perkins et al. |
|---|---|
| Primary category | cs.DC |
| Published | 4 May 2026 |
| Last updated at source | 4 May 2026 |
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