Next Article in Journal
Positioning Performance of BDS Observation of the Crustal Movement Observation Network of China and Its Potential Application on Crustal Deformation
Previous Article in Journal
Energy Efficient Hybrid Routing Protocol Based on the Artificial Fish Swarm Algorithm and Ant Colony Optimisation for WSNs
Open AccessArticle

Trusted Cameras on Mobile Devices Based on SRAM Physically Unclonable Functions

Instituto de Microelectrónica de Sevilla (IMSE-CNM), Consejo Superior de Investigaciones Científicas (CSIC), Universidad de Sevilla, Américo Vespucio, 28, 41092, Seville, Spain
*
Author to whom correspondence should be addressed.
This paper is an extended version of the conference paper “Using Physical Unclonable Functions for Internet-of-Thing Security Cameras” by Rosario Arjona, Miguel A. Prada-Delgado, Javier Arcenegui, and Iluminada Baturone, published in Proceedings of Interoperability, Safety and Security in IoT (InterIoT 2017, SaSeIoT 2017). LNICST, vol. 242, pp. 143–153. Springer, Cham. 2018.
Sensors 2018, 18(10), 3352; https://doi.org/10.3390/s18103352
Received: 15 August 2018 / Revised: 21 September 2018 / Accepted: 28 September 2018 / Published: 8 October 2018
(This article belongs to the Section Physical Sensors)
Nowadays, there is an increasing number of cameras placed on mobile devices connected to the Internet. Since these cameras acquire and process sensitive and vulnerable data in applications such as surveillance or monitoring, security is essential to avoid cyberattacks. However, cameras on mobile devices have constraints in size, computation and power consumption, so that lightweight security techniques should be considered. Camera identification techniques guarantee the origin of the data. Among the camera identification techniques, Physically Unclonable Functions (PUFs) allow generating unique, distinctive and unpredictable identifiers from the hardware of a device. PUFs are also very suitable to obfuscate secret keys (by binding them to the hardware of the device) and generate random sequences (employed as nonces). In this work, we propose a trusted camera based on PUFs and standard cryptographic algorithms. In addition, a protocol is proposed to protect the communication with the trusted camera, which satisfies authentication, confidentiality, integrity and freshness in the data communication. This is particularly interesting to carry out camera control actions and firmware updates. PUFs from Static Random Access Memories (SRAMs) are selected because cameras typically include SRAMs in its hardware. Therefore, additional hardware is not required and security techniques can be implemented at low cost. Experimental results are shown to prove how the proposed solution can be implemented with the SRAM of commercial Bluetooth Low Energy (BLE) chips included in the communication module of the camera. A proof of concept shows that the proposed solution can be implemented in low-cost cameras. View Full-Text
Keywords: cameras on mobile devices; camera security; camera identification; trusted cameras; physically unclonable functions (PUFs); SRAM PUFs cameras on mobile devices; camera security; camera identification; trusted cameras; physically unclonable functions (PUFs); SRAM PUFs
Show Figures

Figure 1

MDPI and ACS Style

Arjona, R.; Prada-Delgado, M.A.; Arcenegui, J.; Baturone, I. Trusted Cameras on Mobile Devices Based on SRAM Physically Unclonable Functions. Sensors 2018, 18, 3352.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop