… learning and multi-agent system. We present an anomaly intrusion detection scheme based
… It is a distributed IDS that integrates the features provided by multi-agent approach with the …

… This paper proposed an intrusion detection system based on a multi-agent system,
blockchain and deep learning. We have described the working mode of each component of the …

… system, is proposed to allow the intrusion detection system to adapt to unknown attacks
in … , a multi-agent system for building an adaptive real-time intrusion detection system (RTMAS-…

… , a new intrusion detection system for ad hoc networks. It is based on an agentbased detection
… The main advantages of the proposed intrusion detection scheme can be summarized in …

… intrusion detection model based on a multi agent system. Mutli Agent Systems (MAS) are very
suitable for intrusion detection … Intrusion Detection System that identifies intrusions in large …

… Besides that, multi-agent systems own unique capacities such as autonomy, portability,
mobility, and social capabilities [22]. All these capacities motivated researchers to use this …

… intrusion detection system’s (IDS) processing time to detect … However, this paper sought to
present a Multi-agent System … data processing time when detecting attacks. Numerous works …

… We propose a hierarchical architecture of Distributed Intrusion Detection Systems (DIDS)
integrated by remote sensor agent diversity and reinforcement learning to detect and …

… detect and classify advanced network attacks. Our proposed multi-agent IDS is designed as
a distributed attack detection … -view architecture guided security system. We have tested our …

… To detect such misbehaviors we propose a solution where each agent runs a local monitor
… realize decentralized intrusion detectors for (hybrid) multi–agent systems where interaction is …