Secure Smart Cameras by Aggregate-Signcryption with Decryption Fairness for Multi-Receiver IoT Applications
1
Institute of Networked and Embedded Systems, Alpen-Adria-Universität Klagenfurt, Universitätsstraße 65-67, 9020 Klagenfurt, Austria
2
Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, University of Genova, Via all’Opera Pia 11, 16145 Genova, Italy
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(2), 327; https://doi.org/10.3390/s19020327
Received: 15 December 2018 / Revised: 8 January 2019 / Accepted: 10 January 2019 / Published: 15 January 2019
(This article belongs to the Special Issue Selected Papers from the 2nd Global IoT Summit: IoT Technologies and Applications for the Benefit of Society)
Smart cameras are key sensors in Internet of Things (IoT) applications and often capture highly sensitive information. Therefore, security and privacy protection is a key concern. This paper introduces a lightweight security approach for smart camera IoT applications based on elliptic-curve (EC) signcryption that performs data signing and encryption in a single step. We deploy signcryption to efficiently protect sensitive data onboard the cameras and secure the data transfer from multiple cameras to multiple monitoring devices. Our multi-sender/multi-receiver approach provides integrity, authenticity, and confidentiality of data with decryption fairness for multiple receivers throughout the entire lifetime of the data. It further provides public verifiability and forward secrecy of data. Our certificateless multi-receiver aggregate-signcryption protection has been implemented for a smart camera IoT scenario, and the runtime and communication effort has been compared with single-sender/single-receiver and multi-sender/single-receiver setups.
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Keywords:
smart cameras; data security; elliptic-curve signcryption; multi-receiver aggregate-signcryption; Internet of Things; resource efficiency
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Ullah, S.; Marcenaro, L.; Rinner, B. Secure Smart Cameras by Aggregate-Signcryption with Decryption Fairness for Multi-Receiver IoT Applications. Sensors 2019, 19, 327.
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