Congestion-Aware and Delay-Aware Application-Specific Security Protocol for WSN/IoT

  • Gaurav Suman
  • , Manoj Tolani
  • , Pankaj Kumar
  • , Arun Balodi
  • , Ambar Bajpai
  • , Nasser S. Albalawi

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Abstract

    The WSN/IoT devices operate with limited processing powers, bandwidth-restrained environments, and a shortage of energy where the strategy of the security protocol is required, which reduces energy consumption without compromising the security of the network. The major concern here is the building of a protocol that not only eliminates these limitations but also is able to respond wisely and dynamically to the ever-changing network conditions. Conventional security solutions proved not to be adaptive solutions, hence yielding to increased overhead, congestion, and delays, delaying the real-time responsiveness that the WSN/IoT needs rapidly. The envisioned protocol seeks to strike an optimal equilibrium, providing robust security measures without compromising the essential efficiency and responsiveness dynamic for the successful operation of WSN/IoT deployments. Compounding the challenge is the inherent dynamism of WSN/IoT networks, where factors such as shifting network topology, intermittent connectivity, and variable traffic loads necessitate adaptive security measures. The proposed protocol aims to alleviate the impact of congestion and delay in timely data transmission, effectively addressing the unique challenges posed by resource limitations in WSN/IoT environments. By implementing this approach, the congestion-aware and delay-aware security protocol aims to strengthen the security framework of WSN/IoT deployments, achieving a balanced trade-off between security and operational efficiency.

    Original languageEnglish
    Title of host publicationSecurity and Privacy Issues for IoT and WSN-based Real-time Applications
    PublisherCRC Press
    Pages94-107
    Number of pages14
    ISBN (Electronic)9781040352915
    ISBN (Print)9781032776682
    DOIs
    Publication statusPublished - 01-01-2025

    All Science Journal Classification (ASJC) codes

    • General Computer Science

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