An Adaptive Lossly Quantization Technique for Key Extraction Applied in Vehicular Communication

Abstract

Security in Vehicular Ad Hoc Network (VANET) is one of the major challenging topics and the secure key interchange between two legitimate vehicles is an important issue. The multi-environment of VANET has been exploited to extract the secret key and employed security services in VANET. However, it offered more excellence randomness owed to fading, noise multi-path, and velocity difference. Some of the factors like Bit-rate, complication and memory requests are reduced by using a process known as quantization. This paper proposes a new quantization method to extract the secret key for vehicular communications that uses a lossy quantizer in combination with information reconciliation and privacy amplification. Our work focuses on the quantization phase for the secret generation procedure. The comprehensive simulations display the propose method increases the zone and number of the quantization levels to utilize the maximum number of measurements to reduce reasonably the wasted measurements.

Physical layer security techniques for data transmission for future wireless networks

“…As channel coherence time is very short, and the bandwidth and capacity in some communication systems are very limited, the drop ratio should be greatly reduced. Therefore, some approach uses a quantization method to extract the secret key that increases the range and amount of quantization levels [20,41].…”

“…Furthermore, another paper also introduced an adaptive secret multi-bit key generation scheme using the Gray code, which not only improved the secret rate but also increased the bit mismatch rate. Abdelgader and Ali et al [20,41] put forward the RSS-based highbit rate, consistent, and random key extraction for VANETs scenarios. Exactly, for perfect mismatch rate, it used an inconsistency removal method to remove the inconsistent measurements between the two communication parties.…”