Network Forensics Model Simulation for Wireless Sensor Networks Using Inference Technology

 This simulation focuses on a network forensics model designed for wireless sensor networks (WSNs) that utilizes inference technology to detect, trace, and analyze network intrusions or anomalies efficiently. By leveraging inference methods, this model enhances forensic capabilities by identifying suspicious patterns and data correlations in real-time, ensuring prompt response and security measures in wireless sensor environments. The approach optimizes data collection and processing within the network, enabling rapid detection of malicious activities while minimizing data transmission costs and energy consumption across WSN nodes.

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