Nov. 1, 2022, 1:20 a.m. | Aitor Belenguer, Jose A. Pascual, Javier Navaridas

cs.CR updates on arXiv.org arxiv.org

Network intrusion detection systems are evolving into intelligent systems
that perform data analysis while searching for anomalies in their environment.
Indeed, the development of deep learning techniques paved the way to build more
complex and effective threat detection models. However, training those models
may be computationally infeasible in most Edge or IoT devices. Current
approaches rely on powerful centralized servers that receive data from all
their parties -- violating basic privacy constraints and substantially
affecting response times and operational costs …

detection intrusion intrusion detection intrusion detection system network system

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