A practical secure physical random bit generator
CCS '98 Proceedings of the 5th ACM conference on Computer and communications security
TOSSIM: accurate and scalable simulation of entire TinyOS applications
Proceedings of the 1st international conference on Embedded networked sensor systems
TinySec: a link layer security architecture for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Cryptography and Network Security (4th Edition)
Cryptography and Network Security (4th Edition)
Identity-Based Encryption for Sensor Networks
PERCOMW '07 Proceedings of the Fifth IEEE International Conference on Pervasive Computing and Communications Workshops
A Hybrid Framework for Soft Real-Time WSN Simulation
DS-RT '09 Proceedings of the 2009 13th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications
Secure random number generation in wireless sensor networks
Proceedings of the 4th international conference on Security of information and networks
Secure true random number generator in WLAN/LAN
Proceedings of the 6th International Conference on Security of Information and Networks
| Hi-index | 0.00 |
In recent years, the considerable progress of miniaturization and the consequent increase of the efficiency of digital circuits has allowed a great diffusion of the wireless sensor network technology. This has led to the growth of applications and protocols for applying these networks to several scenarios, such as the military one, where it is essential to deploy security protocols in order to prevent opponents from accessing the information exchanged among sensor nodes. This paper analyzes security issues of data processed by the WSN and describes a system able to generate sequences of random numbers, which can be used by security algorithms and protocols. The proposed True Random Number Generator (TRNG) exploits measurements obtained from sensor nodes, in order to allow every node to produce random data upon request, without involving a trusted third party. The proposed TRNG behavior has been tested by carrying out the NIST tests, and the obtained experimental results indicate the high degree of randomness of the produced numbers.