{'fraction_non_alphanumeric': 0.018633540372670808, 'fraction_numerical': 0.0, 'mean_word_length': 5.296875, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Protecting location privacy in vehicular networks against location-based attacks

Location privacy is an important issue in location-based services (LBSs), current protecting location privacy methods cannot be used in vehicular networks due to the constrained vehicular mobility. In this paper, we propose a new cloaking algorithm which takes road segments and vehicles into consideration. We start with a definition of a location-based attack, and then design a new cloaking algorithm based on neighbour spaces. We also provide a compact cloaking algorithm based on a related vehicle density. The experimental results show that our method can be used for continuous LBSs under vehicular networks, and resist a location-based attack while having efficiencies in terms of cloaking time and successful rate.