Friday, October 9, 2020 - 11:00 to 12:30
The School of Computer Science at the University of Windsor is pleased to present…
Colloquium Series presentation by: Hassan Mahdikhani, PhD Candidate, University of New Brunswick
Date: Friday October 9, 2020
Time: 11:00am – 12:30pm
Zoom URL: https://zoom.us/j/99745491485?
Passcode: If you are interested in attending, send an email request to the Graduate Secretary at csgradinfo@uwindsor.ca
Abstract:
The advance of Internet-of-Things (IoT) techniques has promoted an increasing number of organizations to explore more mission-critical solutions. However, the response latency, bandwidth usage, and reliability are still challenging issues in the traditional IoT. To tackle these challenges, the fog-based IoT has become popular and the range query is one of the most frequently used operations in fog-based IoT, in which a fog node will return the aggregated data from IoT devices to the query user who has submitted range queries. Because the fog nodes are not fully trusted, there is a desire to design a privacy-preserving range query scheme in the fog-based IoT. However, most of the existing privacy-preserving range query schemes are not efficient in terms of communication overhead, especially for a large-size range. Therefore, it is still a challenging issue to design a communication-efficient range query in fog-based IoT. Aiming at this challenge, we propose a new privacy-preserving range query scheme in the fog-based IoT. Specifically, we first devise an efficient homomorphic encryption scheme for maintaining data privacy and security in a range query. Then, we present a novel range decomposition technique to compile the range query, which can transform a given range query [L, U], into a semi-triangular structure, and enable the proposed scheme to be a communication-efficient one.
Biography:
Hassan Mahdikhani holds the B.Eng.degree in Computer Engineering-Software from Kharazmi University, Tehran, Iran, in 2001 and the M.Eng. degree in Computer Engineering-Software from Iran University of Science and Technology, Tehran, Iran, in 2006. Hassan is currently a Ph.D. candidate in Computer Science at the University of New Brunswick (UNB), and a cybersecurity researcher at the Canadian Institute for Cybersecurity (CIC), Canada. Hassan’s research interests include cloud computing security, secure and privacy-preserving computation offloading, and applied cryptography.
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