Privacy Preserving Scalable Authentication Protocol with Partially Trusted Third Party for Distributed Internet-of-Things

Trivedi, Hiral S.; Patel, Sankita J.

doi:10.5220/0010599508120818

Cited by 4 publications

(2 citation statements)

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“…The centralized-based approach incorporates central entities for acquiring, processing, and providing outcomes, while distributed-based approach focuses on two principles: first, "edge intelligence," which places the location of intelligence on the edges of the networks; second, "collaboration principle" that integrates disparate systems to achieve a common outcome. 1,3,4 IoT in several risk-critical applications such as military control systems, healthcare systems, precision agriculture, and industrial control systems, configure complex distributed network structures for continuous data transmission. Digital healthcare systems heighten the requirement of seamless collaboration with multiple healthcare infrastructures to provide pervasive inter-domain services.…”

Section: Introductionmentioning

confidence: 99%

“…IoT as a service is incorporated in centralized‐based and distributed‐based networking paradigms. The centralized‐based approach incorporates central entities for acquiring, processing, and providing outcomes, while distributed‐based approach focuses on two principles: first , “ edge intelligence ,” which places the location of intelligence on the edges of the networks; second , “ collaboration principle ” that integrates disparate systems to achieve a common outcome 1,3,4 …”

Section: Introductionmentioning

confidence: 99%

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Key‐aggregate searchable encryption with multi‐user authorization and keyword untraceability for distributed IoT healthcare systems

Trivedi

Patel

2023

Trans Emerging Tel Tech

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Adopting Internet-of-Things (IoT) enables pervasive computing by integrating distributed healthcare infrastructures to enhance conventional medical services. Integrated healthcare systems store numerous encrypted electronic health records (EHR) on clouds that multiple users frequently access as per delegated access rights. Sharing any group of selected EHR within any group of users involving different encryption keys potentially heightens security and privacy concerns over inadvertent data leaks. This necessitates a searchable encryption mechanism in distributed IoT requiring secure multi-user authorization and efficient searchable keys management with compact trapdoors. Contemporary state-of-the-art protocols utilize large numbers of expensive encryption keys and keyword trapdoors while lacking secure multi-user authorization and keyword untraceability on clouds. This motivates us to design a novel key-aggregate searchable encryption protocol that jointly achieves multi-user authorization and keyword untraceability for distributed IoT applications. Key-aggregation reduces complexity in sharing (n) documents by executing a stand-alone trapdoor, while token-based authorization allows keyword search only to legitimate data users. Additionally, secure dynamic indexing achieves keyword untraceability on clouds. Security analysis illustrates correctness and resilience against typical attacks. Performance and empirical analysis demonstrate a relative advantage in storage, communication, and computational costs while incorporating secure multi-user authorization and keyword untraceability as additional security features.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%