S
Salil S. Kanhere
Researcher at University of New South Wales
Publications - 397
Citations - 15087
Salil S. Kanhere is an academic researcher from University of New South Wales. The author has contributed to research in topics: Computer science & Wireless sensor network. The author has an hindex of 50, co-authored 351 publications receiving 11347 citations. Previous affiliations of Salil S. Kanhere include Cooperative Research Centre & Commonwealth Scientific and Industrial Research Organisation.
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Proceedings ArticleDOI
Blockchain for IoT security and privacy: The case study of a smart home
TL;DR: This paper shows that the proposed BC-based smart home framework is secure by thoroughly analysing its security with respect to the fundamental security goals of confidentiality, integrity, and availability, and presents simulation results to highlight that the overheads are insignificant relative to its security and privacy gains.
Proceedings ArticleDOI
Ear-phone: an end-to-end participatory urban noise mapping system
TL;DR: Ear-Phone, for the first time, leverages Compressive Sensing to address the fundamental problem of recovering the noise map from incomplete and random samples obtained by crowdsourcing data collection.
Journal ArticleDOI
BlockChain: A Distributed Solution to Automotive Security and Privacy
TL;DR: It is argued that blockchain (BC), a disruptive technology that has found many applications from cryptocurrencies to smart contracts, is a potential solution to these challenges and is proposed a BC-based architecture to protect the privacy of users and to increase the security of the vehicular ecosystem.
Proceedings ArticleDOI
Towards an Optimized BlockChain for IoT
TL;DR: A lightweight BC-based architecture for IoT that virtually eliminates the overheads of classic BC, while maintaining most of its security and privacy benefits, is proposed.
Journal ArticleDOI
A Survey of COVID-19 Contact Tracing Apps
Nadeem Ahmed,Regio A. Michelin,Wanli Xue,Sushmita Ruj,Robert Malaney,Salil S. Kanhere,Aruna Seneviratne,Wen Hu,Helge Janicke,Sanjay Jha +9 more
TL;DR: This article provides the first comprehensive review of tracing apps' key attributes, including system architecture, data management, privacy, security, proximity estimation, and attack vulnerability, and presents an overview of many proposed tracing app examples.