Embedded Software Implementation of Privacy Preserving Matrix Computation using Elliptic Curve Cryptography for IoT Applications

Ahsan, F and Banerjee, U (2022) Embedded Software Implementation of Privacy Preserving Matrix Computation using Elliptic Curve Cryptography for IoT Applications. In: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10227758, 18-21 December 2022, Gandhinagar, Gujarat, India, pp. 353-358.

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Abstract

Security concerns about data collected and processed by network-connected electronic devices has motivated the need for privacy-preserving computation. One of the most promising theoretical tools in this direction is homomorphic encryption. In this work, we explore the efficient implementation of elliptic curve-based additively homomorphic encryption which allows certain matrix-vector operations in the encrypted domain without the prohibitive computational complexity of fully homomorphic encryption. We present an algorithmic framework for the same, supported by detailed performance analysis of our software implementation evaluated on an embedded microprocessor along with memory-time trade-offs and side-channel countermeasures. We also discuss various applications which can benefit from this privacy-preserving compute framework. © 2022 IEEE.

Item Type:	Conference Paper
Publication:	International Symposium on Advanced Networks and Telecommunication Systems, ANTS
Publisher:	IEEE Computer Society
Additional Information:	The copyright for this article belongs to the IEEE Computer Society
Keywords:	Application programs; Economic and social effects; Internet of things; Matrix algebra; Privacy-preserving techniques; Public key cryptography; Side channel attack, Curve cryptography; Efficient implementation; Electronics devices; Elliptic curve; Ho-momorphic encryptions; Homomorphic-encryptions; Matrix computation; Privacy preserving; Privacy preserving computation; Software implementation, Geometry
Department/Centre:	Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Date Deposited:	28 Feb 2024 06:10
Last Modified:	28 Feb 2024 06:10
URI:	https://eprints.iisc.ac.in/id/eprint/83574

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