Secure true random number generator in WLAN/LAN

Chefranov, Alexander G.; Abhari, Seyed Masoud Alavi; Alavizadeh, Hooman; Zanjani, Maryam Farajzadeh

doi:10.1145/2523514.2527098

Cited by 4 publications

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, the received message is switched to proper case due to the role of nodes, controller C or usual member A. It is noticeable; Tseng's modified protocol is implemented in order to improve the key exchange part for Enhanced Scatter Light protocol [26] to provide security. While, in Enhanced Scatter Light protocol, the group key is static and it is defined before, Tseng's modified protocol brings the possibility of establishing a dynamic group key to Enhanced Scatter Light protocol.…”

Section: Chapter 4 4implementation and Experimental Resultsmentioning

confidence: 99%

Group Key Exchange Protocol Based on Diffie-Hellman Technique in Ad-Hoc Network

Zanjani

Abhari

Chefranov

2014

Proceedings of the 7th International Conference on Security of Information and Networks

Self Cite

View full text Add to dashboard Cite

During last decade, wireless ad hoc networks have been widely used for communication, transferring data or sharing some information for specific members.Nowadays security protocols play a fundamental role to provide a level of security for wireless local area networks (WLAN). Moreover, one of the most important issues to improve security by help of cryptography algorithms is generating a common key among participants to intercommunicate securely. The aim of thesis is creating a common secret key by means of Diffie Hellman (DH) technique, so the contributory group key exchange protocol is established in order to perform efficiently in context of ad hoc. To this aim, some analysis on Biswas's protocol (G. done. Tseng's protocol fails to establish a common key in some situations, when the key generated by DH technique is not invertible. Thus, it is modified in order to fix the problem and achieve better performance in view of the computational cost for the proposed Tseng's modified protocol. Furthermore, theoretical analysis shows that computational cost in Tseng's modified protocol for each participant and the controller is decreased about 1.5 and 3 times in comparison with Tseng's protocol respectively. Tseng modified protocol is implemented and is tested for ad hoc WLAN with 3, 4, and 5 nodes.

show abstract

Section: Chapter 4 4implementation and Experimental Resultsmentioning

confidence: 99%

Group Key Exchange Protocol Based on Diffie-Hellman Technique in Ad-Hoc Network

Zanjani

Abhari

Chefranov

2014

Proceedings of the 7th International Conference on Security of Information and Networks

Self Cite

View full text Add to dashboard Cite

show abstract

A Secure Server-Based Pseudorandom Number Generator Protocol for Mobile Devices

Alavizadeh

Alavizadeh²,

Dube

et al. 2017

Information Security Practice and Experience

View full text Add to dashboard Cite

Toward Sensor-Based Random Number Generation for Mobile and IoT Devices

Wallace

Moran

Novak

et al. 2016

IEEE Internet Things J.

View full text Add to dashboard Cite

The importance of Random Number Generators (RNG) to various computing applications is well understood. To ensure a quality level of output, high-entropy sources should be utilized as input. However, the algorithms used have not yet fully evolved to utilize newer technology. Even the Android Pseudo Random Number Generator (APRNG) merely builds atop the Linux RNG to produce random numbers. This work presents an exploratory study into methods of generating random numbers on sensor-equipped mobile and IoT devices. We first perform a data collection study across 37 Android devices to determine two things -how much random data is consumed by modern devices, and which sensors are capable of producing sufficiently random data.We use the results of our analysis to create an experimental framework called SensoRNG, which serves as a prototype to test the efficacy of a sensor-based RNG. SensoRNG employs collection of data from on-board sensors and combines them via a lightweight mixing algorithm to produce random numbers. We evaluate SensoRNG with the National Institute of Standards and Technology (NIST) statistical testing suite and demonstrate that a sensor-based RNG can provide high quality random numbers with only little additional overhead.

show abstract

Secure true random number generator in WLAN/LAN

Cited by 4 publications

References 10 publications

Group Key Exchange Protocol Based on Diffie-Hellman Technique in Ad-Hoc Network

Group Key Exchange Protocol Based on Diffie-Hellman Technique in Ad-Hoc Network

A Secure Server-Based Pseudorandom Number Generator Protocol for Mobile Devices

Toward Sensor-Based Random Number Generation for Mobile and IoT Devices

Contact Info

Product

Resources

About