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Title: | DESIGN AND DEVELOPMENT OF SECURE ROUTING TECHNIQUES FOR IOT BASED NETWORKS |
Authors: | SHARMA, VISHAL |
Keywords: | SECURE ROUTING TECHNIQUES BONY-ISHO PL-COA CRYPTOGRAPHIC METHOD IOT |
Issue Date: | Jun-2025 |
Series/Report no.: | TD-8144; |
Abstract: | The rapid proliferation of Internet of Things (IoT) networks necessitates the development of secure and efficient routing protocols to address challenges such as energy constraints, heterogeneous device communication, and security vulnerabilities. This thesis focuses on the design and development of secure routing techniques for IoT-based networks by leveraging advanced cryptographic methods, hierarchical clustering strategies, and metaheuristic optimization algorithms. Protocols, Blowfish- Honey Improved Spotted Hyena Optimization (BONY-ISHO) and Multi-level Hierarchical Secure and Optimal Routing (ML-HSOR), are introduced to address the dual challenges of security and routing efficiency in IoT networks. BONY-ISHO combines blockchain authentication, hybrid Blowfish-Honey cryptography, and the Improved Spotted Hyena Optimization algorithm to ensure secure clustering, robust data encryption, and energy-efficient routing. Similarly, ML-HSOR employs a Markov model for adaptive clustering, multi-level trust evaluation for malicious node detection, and the Polarity Learning-based Chimp Optimization Algorithm (PL-COA) for optimal data routing. These approaches significantly enhance key performance metrics, achieving high packet delivery ratios, increased throughput, reduced energy consumption, and low latency. These metaheuristics are systematically evaluated for their potential to address routing and security challenges in IoT networks. The protocols developed demonstrate superior scalability, adaptability, and resilience against common network threats like eavesdropping and grey-hole attacks. The findings of this research provide a comprehensive framework for secure and energy- efficient IoT routing, paving the way for resilient smart city applications and beyond. |
URI: | http://dspace.dtu.ac.in:8080/jspui/handle/repository/21965 |
Appears in Collections: | Ph.D. Computer Engineering |
Files in This Item:
File | Description | Size | Format | |
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Vishal Sharma Ph.D..pdf | 5.53 MB | Adobe PDF | View/Open |
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