Hybrid Fuzzy Rule Algorithm and Trust Planning Mechanism for Robust Trust Management in IoT-Embedded Systems Integration

The Internet of Things (IoT) is rapidly expanding and becoming an integral part daily life, increasing the potential for security threats such as malware or cyberattacks. Many embedded systems (ESs), responsible handling sensitive data facilitating secure online activities, must adhere to stringent standards. For instance, payment processors employ security-critical components distinct chips, maintaining physical separation from other network prevent leakage information cryptographic keys. Establishing a trusted environment in IoT ESs, where interactions are based on trust model communication nodes, viable approach enhance ESs. Although management (TM) has been extensively studied distributed networks, IoT, significant challenges remain real-world implementation. In response, we propose hybrid fuzzy rule algorithm (FRA) planning mechanism (TPM), denoted FRA + TPM, effective bolster ESs reliability. proposed system was evaluated against several conventional methods, yielding promising results: prediction accuracy (99%), energy consumption (53%), malicious node detection (98%), computation time (61 s), latency (1.7 ms), throughput (9 Mbps).