[Resource Topic] 2023/1154: Quantum Secure Threshold Private Set Intersection Protocol for IoT-Enabled Privacy Preserving Ride-Sharing Application

Welcome to the resource topic for 2023/1154

Title:
Quantum Secure Threshold Private Set Intersection Protocol for IoT-Enabled Privacy Preserving Ride-Sharing Application

Authors: Tapaswini Mohanty, Vikas Srivastava, Sumit Kumar Debnath, Ashok Kumar Das, Biplab Sikdar

Abstract:

The Internet of Things (IoT)-enabled ride sharing
is one of the most transforming and innovative technologies
in the transportation industry. It has myriads of advantages,
but with increasing demands there are security concerns as
well. Traditionally, cryptographic methods are used to address
the security and privacy concerns in a ride sharing system.
Unfortunately, due to the emergence of quantum algorithms,
these cryptographic protocols may not remain secure. Hence,
there is a necessity for privacy-preserving ride sharing protocols
which can resist various attacks against quantum computers.
In the domain of privacy preserving ride sharing, a threshold
private set intersection (TPSI) can be adopted as a viable solution
because it enables the users to determine the intersection of
private data sets if the set intersection cardinality is greater than
or equal to a threshold value. Although TPSI can help to alleviate
privacy concerns, none of the existing TPSI is quantum secure.
Furthermore, the existing TPSI faces the issue of long-term
security. In contrast to classical and post quantum cryptography,
quantum cryptography (QC) provides a more robust solution,
where QC is based on the postulates of quantum physics (e.g.,
Heisenberg uncertainty principle, no cloning theorem, etc.) and it
can handle the prevailing issues of quantum threat and long-term
security. Herein, we propose the first QC based TPSI protocol
which has a direct application in privacy preserving ride sharing.
Due to the use of QC, our IoT-enabled ride sharing scheme
remains quantum secure and achieves long-term security as well.

ePrint: https://eprint.iacr.org/2023/1154

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