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<p>Internet of Things (IoT) assisted smart city (SC) applications have evolved in the real-time smart environment for providing sophisticated driving assistance. The presence of external attacks causes session leakage along with the interconnecting device compromises. In such scenarios, the edge-delivering services are also impacted by privacy lag under different sessions where the integration with IoT is halted. Such integration halt is common in diverse application resource demand and infrastructure support. The integration constraints include privacy leaks, complex authentication processing, and time-based synchronizations. In particular, the synchronization of the above in the common interval is decided by the lagging constraints that proves to be weak in any privacy authentication. Therefore, a consistent session without loss is less feasible for collaborated smart city services. This paper proposes a Harmonized Privacy-Preserving Scheme (HPPS) for improving the uninterrupted services in orchestrated IoT-Edge architectures in SC. The proposed scheme identifies the outages and instigates a new application session for attacker-less services. By using protected session information in discovering services and edge devices, the sessions are secured. The application services and sessions are secured using conventional two-factor authentication monitored and administered by the IoT and Edge devices. The privacy changes are periodically updated using tree-based learning for the failing orchestration. In this learning process, the recommended and identified services are verified for their privacy exploitation metric. The smart city service distribution is pursued if the privacy exploitation levels are unanimous. For verifying the proposed scheme’s performance, the metrics of service distribution, session loss, service latency, and privacy exploitation level are used. The proposed HPP scheme improves service distribution and authentication verification by 12.29% and 12.11% respectively. This scheme reduces session loss, service latency, and exploitation levels by 10.54%, 11.46%, and 11.45% for the maximum session time.</p>

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HPPS - Harmonized privacy-preserving scheme for the internet of things and edge-collaborated smart city services

  • 期刊论文

  • 发表日期：

    2025年5月18日

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  • Jaikumar Rajendran,
  • Leena Bojaraj,
  • Kathirvelu Murugan,
  • Gurumoorthy Kambatty Bojan

摘要

Internet of Things (IoT) assisted smart city (SC) applications have evolved in the real-time smart environment for providing sophisticated driving assistance. The presence of external attacks causes session leakage along with the interconnecting device compromises. In such scenarios, the edge-delivering services are also impacted by privacy lag under different sessions where the integration with IoT is halted. Such integration halt is common in diverse application resource demand and infrastructure support. The integration constraints include privacy leaks, complex authentication processing, and time-based synchronizations. In particular, the synchronization of the above in the common interval is decided by the lagging constraints that proves to be weak in any privacy authentication. Therefore, a consistent session without loss is less feasible for collaborated smart city services. This paper proposes a Harmonized Privacy-Preserving Scheme (HPPS) for improving the uninterrupted services in orchestrated IoT-Edge architectures in SC. The proposed scheme identifies the outages and instigates a new application session for attacker-less services. By using protected session information in discovering services and edge devices, the sessions are secured. The application services and sessions are secured using conventional two-factor authentication monitored and administered by the IoT and Edge devices. The privacy changes are periodically updated using tree-based learning for the failing orchestration. In this learning process, the recommended and identified services are verified for their privacy exploitation metric. The smart city service distribution is pursued if the privacy exploitation levels are unanimous. For verifying the proposed scheme’s performance, the metrics of service distribution, session loss, service latency, and privacy exploitation level are used. The proposed HPP scheme improves service distribution and authentication verification by 12.29% and 12.11% respectively. This scheme reduces session loss, service latency, and exploitation levels by 10.54%, 11.46%, and 11.45% for the maximum session time.