2 citations · 3 across the 2 of their papers we have counts for
3 papers
Parameters efficient language model with latent cross-attention for IoT intrusion detection
Frederic Adjewa, Moez Esseghir, Leila Merghem-Boulahia +1
Language models have shown strong potential for intrusion detection, but their high memory and computational demands make them difficult to deploy in resource-constrained IoT envir…
LLM-based Continuous Intrusion Detection Framework for Next-Gen Networks
Frederic Adjewa, Moez Esseghir, Leila Merghem-Boulahia
In this paper, we present an adaptive framework designed for the continuous detection, identification and classification of emerging attacks in network traffic. The framework emplo…
Efficient Federated Intrusion Detection in 5G ecosystem using optimized BERT-based model
Frederic Adjewa, Moez Esseghir, Leila Merghem-Boulahia
The fifth-generation (5G) offers advanced services, supporting applications such as intelligent transportation, connected healthcare, and smart cities within the Internet of Things…