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<p>This study presents a novel ant-inspired cryptographic framework designed for secure and scalable communication in decentralized IoT and blockchain networks. Unlike traditional cryptographic systems that depend on centralized control and static encryption pathways, the proposed framework utilizes a hybrid pheromone update mechanism for adaptive key management and decentralized routing. Simulations conducted across various network topologies and attack scenarios—including man-in-the-middle (MITM), distributed denial-of-service (DDoS), and node failures—demonstrate the framework’s superior performance. Specifically, it achieved an 85% reduction in data loss during MITM attacks, a 60% faster response time under DDoS conditions, and a 75% improvement in network resilience during node failures compared to traditional cryptographic approaches. The framework also maintained 15% lower latency, delivered 45% stronger encryption, and incurred only a 20% increase in computational overhead, making it suitable for resource-constrained devices. Evaluations were carried out using simulated heterogeneous IoT environments with both mesh and star topologies, incorporating realistic traffic and adversarial models. This framework is well-suited for scalable deployment in real-world decentralized systems, including smart cities, industrial IoT, and edge computing infrastructures.</p>

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Next-generation ant-inspired cryptography for secure and resilient decentralized IoT ecosystems

  • 期刊论文

  • 发表日期：

    2025年7月16日

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  • R. Satheeskumar,
  • V. Premalatha,
  • Ratna Kumar Talatoti,
  • Sudhakar Vecha,
  • M. Koteswara Rao

摘要

This study presents a novel ant-inspired cryptographic framework designed for secure and scalable communication in decentralized IoT and blockchain networks. Unlike traditional cryptographic systems that depend on centralized control and static encryption pathways, the proposed framework utilizes a hybrid pheromone update mechanism for adaptive key management and decentralized routing. Simulations conducted across various network topologies and attack scenarios—including man-in-the-middle (MITM), distributed denial-of-service (DDoS), and node failures—demonstrate the framework’s superior performance. Specifically, it achieved an 85% reduction in data loss during MITM attacks, a 60% faster response time under DDoS conditions, and a 75% improvement in network resilience during node failures compared to traditional cryptographic approaches. The framework also maintained 15% lower latency, delivered 45% stronger encryption, and incurred only a 20% increase in computational overhead, making it suitable for resource-constrained devices. Evaluations were carried out using simulated heterogeneous IoT environments with both mesh and star topologies, incorporating realistic traffic and adversarial models. This framework is well-suited for scalable deployment in real-world decentralized systems, including smart cities, industrial IoT, and edge computing infrastructures.