| Title | Design of a Fully Automated Adaptive Quantization Technique for Vehicular Communication System Security |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Mohammed, Khalid Ayoub, Abdelgader, Abdeldime M.S., Peng, Chen |
| Conference Name | 2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE) |
| Keywords | composability, data mining, information reconciliation, Metrics, network accountability, privacy, Privacy Amplification, pubcrawl, quantization, Quantization (signal), Resiliency, secret key distribution, simulation, Uncertainty, VANET, vehicular ad hoc networks, Vehicular Communication, Wireless communication |
| Abstract | Recently, vehicular communications have been the focus of industry, research and development fields. There are many benefits of vehicular communications. It improves traffic management and put derivers in better control of their vehicles. Privacy and security protection are collective accountability in which all parties need to actively engage and collaborate to afford safe and secure communication environments. The primary objective of this paper is to exploit the RSS characteristic of physical layer, in order to generate a secret key that can securely be exchanged between legitimated communication vehicles. In this paper, secret key extraction from wireless channel will be the main focus of the countermeasures against VANET security attacks. The technique produces a high rate of bits stream while drop less amount of information. Information reconciliation is then used to remove dissimilarity of two initially extracted keys, to increase the uncertainty associated to the extracted bits. Five values are defined as quantization thresholds for the captured probes. These values are derived statistically, adaptively and randomly according to the readings obtained from the received signal strength. |
| DOI | 10.1109/ICCCEEE49695.2021.9429552 |
| Citation Key | mohammed_design_2021 |
Design of a Fully Automated Adaptive Quantization Technique for Vehicular Communication System Security