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·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667
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The Journal of Information and Optimization Sciences (JIOS) is a world leading journal publishing high quality, rigorously peer-reviewed original research in all mathematically-oriented theoretical and applied topics in information sciences, optimization sciences and related areas since 1980. Subjects include but are not limited to:
• Information Sciences
• Optimization Sciences
• Control Theory
• Operational Research
• Decision Sciences
• Information Theory
• Information Technology
• Computer Networks and Communications
• Mathematical Programming
• Modelling and Simulation
• Database Management
• Applications to Engineering Sciences
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Issues up to 2022 co-published with and available at:
Development and validation of advanced testing protocols for compliance with IEC standards in intelligent networks
*Dharmesh DhabliyaCorresponding authordharmesh.dhabliya@viit.ac.inDepartment of Information Technology Vishwakarma Institute of Technology Department of Computer Science & Engineering Vishwakarma Institute of TechnologyPune, Maharashtra, 411037, IndiaView full profile →
, Shailendra Vermadrshailendraverma27@gmail.comDepartment of Electrical Engineering Shri Shankaracharya Institute of Professional Management & TechnologyRaipur, Chhattisgarh, 492015, IndiaView full profile →
, Gagan Tiwarigagan.tiwari@niu.edu.inDepartment of Computer Science Noida International UniversityDepartment of Computer Sciences Noida International UniversityNoida, Uttar Pradesh, 203201, IndiaView full profile →
, V. Shanthishanthiv@maher.ac.inDepartment of Computer Science Meenakshi College of Arts and Science Meenakshi Academy of Higher Education and ResearchChennai, Tamil Nadu, 600078, IndiaView full profile →
, Vinit Khetanivinitkhetani@gmail.comResearcher Connect Innovation and Impact Pvt. Ltd.Cybrix TechnologiesNagpur, Maharashtra, 440027, IndiaView full profile →
* Corresponding author · click or hover a name for details
This article describes unique and enhanced smart network testing methods that meet IEC requirements. The framework uses modular designs, flexible testing, and organized validation to improve interoperability, defect identification, and dependability. A formalized mathematical approach provides a structured methodology for assessing compliance, identifying issues, and evaluating resilience. The trials’ results reveal that compliance scores are greater, detections are more accurate, and resistance measures are stronger in many instances. The findings indicate that the framework is scalable, efficient, and dependable. It gives smart systems a way to work that is based on standards, and it can help with future growth in real-time automation and following the rules.
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