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With the rapid adoption of next generation networking architectures in 5G, like Multi-Access Edge Computing (MEC), there is a shift in the core processing capabilities to the edge of the network. This helps facilitate higher bandwidth and ultra-low latency responses, but can increase the attack surface for cyber-attacks like Denial of Service (DoS) and Distributed Denial of Service (DDoS). To safeguard these architectures without degrading performance, we require mechanisms capable of detecting these attacks in near-real time. Collaborative Intrusion Detection Systems (CIDS) are a popular choice for detecting sophisticated coordinated attacks in large complex networks, and a prime candidate for use in this context. However, finding the right CIDS deployment model is not straightforward, with each model presenting its own set of challenges like accuracy as well as network and computational overhead. In this …