DocumentCode :
131912
Title :
Lightweight and secure encryption using channel measurements
Author :
Fragkiadakis, Alexandras ; Tragos, Elias ; Traganitis, Apostolos
Author_Institution :
Inst. of Comput. Sci., Found. for Res. & Technol.-Hellas (FORTH-ICS), Heraklion, Greece
fYear :
2014
fDate :
11-14 May 2014
Firstpage :
1
Lastpage :
5
Abstract :
Wireless sensor networks are the building blocks of the Internet-of-Things architectures, conveying critical and often sensitive and private information. As these networks often consist of severe resource constrained devices, lightweight encryption mechanisms are of paramount importance for achieving energy efficiency. However, the majority of the proposed algorithms do not fully fulfill the requirements for energy efficiency. Furthermore, key distribution schemes are necessary for their proper operation, making the network vulnerable to adversaries that manage to capture the keys during key exchange. In this work, we propose a scheme where key extraction is performed using channel measurements, thus there is no need for any key distribution mechanism. The derived keys are used for encryption/decryption using the primitives of the compressed sensing theory, which allows encryption and compression simultaneously. The evaluation results show that legitimate nodes experience a very low reconstruction (decryption) error. At the same time, adversaries located at a distance greater than half of the carrier frequency´s wavelength, experience a higher error, thus being unable to capture sensitive information.
Keywords :
Internet of Things; compressed sensing; cryptography; energy conservation; telecommunication power management; wireless channels; wireless sensor networks; Internet-of-Things architectures; carrier frequency wavelength; channel measurements; compressed sensing theory; energy efficiency; key distribution schemes; key exchange; key extraction; legitimate nodes; lightweight encryption mechanisms; private information; resource constrained devices; secure encryption; very low reconstruction decryption error; wireless sensor networks; Communication system security; Compressed sensing; Encryption; Quantization (signal); Wireless communication; Wireless sensor networks; compressed sensing; hashing; quantization; received-signal-strength-indicator; reconstruction error; secret key generation; secure sketch;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Vehicular Technology, Information Theory and Aerospace & Electronic Systems (VITAE), 2014 4th International Conference on
Conference_Location :
Aalborg
Print_ISBN :
978-1-4799-4626-6
Type :
conf
DOI :
10.1109/VITAE.2014.6934411
Filename :
6934411
Link To Document :
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