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This paper proposes a distributed framework for collaborative log anomaly detection that integrates privacy-constrained vector retrieval with large language model (LLM) inference, and enables LLM-based reasoning without requiring all logs to be centralized.
Efficient and reliable transmission of channel state information (CSI) is crucial for maintaining optimal performance in massive multiple-input multiple-output (MIMO) wireless communication systems. However, the feedback overhead remains a significant challenge, particularly in frequency division duplex (FDD) systems w...
This work presents a lightweight, blockchain-secured distributed IDS for IoT networks that combines anomaly-based detection using federated learning, Snort-based signature detection, and host-based log analysis with transformer models and mitigates the impact of malicious updates.
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