Using Map Matching for DeIdentification of Connected Vehicle Locations

التفاصيل البيبلوغرافية
العنوان: Using Map Matching for DeIdentification of Connected Vehicle Locations
المؤلفون: Carter, Jason M., Ferber, Aaron E.
المصدر: IEEE Consumer Electronics Magazine; November 2019, Vol. 8 Issue: 6 p111-116, 6p
مستخلص: We introduce a location deidentification procedure that uses road network structure to protect against certain types of inference-based attacks. Our target is large databases containing vehicle locations. Previous anonymization approaches are inappropriate because location generalization and perturbation of geopositions could negatively affect development of safety-critical applications that require precise position information. Furthermore, k-anonymity-based clustering approaches would lead to significant data suppression. Our algorithm attempts to balance privacy protection and data utility, while protecting against re-identification attacks. Our data is from the first connected vehicle model deployment in the United States.
قاعدة البيانات: Supplemental Index
الوصف
تدمد:21622248
21622256
DOI:10.1109/MCE.2019.2941354