Evaluating Location Privacy in Vehicular Communications and Applications

Vehicular ad hoc networks may one day prevent injuries and reduce transportation costs by enabling new safety and traffic management applications, but these networks raise privacy concerns because they could enable applications to perform unwanted surveillance. Researchers have proposed privacy protocols, measuring privacy performance based on metrics such as $k$ -anonymity. Because of the frequency and precision of location of queries in vehicular applications, privacy measurement may be improved by considering additional factors. This paper defines continuous network location privacy ; presents KDT -anonymity, which is a composite metric including average anonymity set size, i.e., $K$ , average distance deviation, i.e., $D$ , and anonymity duration, i.e., $T$ ; derives formulas to calculate theoretical values of $K$ , $D$ , and $T$ ; evaluates five privacy protocols under realistic vehicle mobility patterns using KDT -anonymity; and compares KDT -anonymity with prior metrics.