Fuzzy Harmony Search Technique for Cyber Risks in Industry 4.0 Wireless Communication Networks

Industry 4.0 houses diverse technologies including wireless communication and shared networks for internal external operations. Due to the nature remote operability, exposure security threats is high. Cyber risk detection mitigation are prominent secure industrial operations planned outcomes. In addition, system faces threat of intelligence attacks, standards issues, privacy concerns scalability problems. The cyber related research problems influence overall data transmission in industry networks. For augmenting through detection, this article introduces an Explicit Risk Detection Assessment Technique (ERDAT) process. A fuzzy harmony search algorithm powers technique identifying preventing its impact. mimics adversary impact using production factors such as process interruption or halting outcome. performs a mimicking operation high objective function based on output admitted plan. admits above impacting risk, either impacts profitable process, optimization identifies maximum minimum targeted outcome interrupts, respectively. threshold identified mediated acceptable range, computed ratio between maximum, occurrences scheduled Therefore, crossing falling behind interruption/halting production, respectively, risks their source detected. disconnected from further impacts. introduced achieves 8.52% high-risk 12.5% fewer 8.3% halted schedules, 8.08% less interrupt span, 7.94% time compared traditional methods.