{'fraction_non_alphanumeric': 0.0220014194464159, 'fraction_numerical': 0.0028388928317956, 'mean_word_length': 5.103896103896104, '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}}
Analysis of Smart Cities Security: Challenges and Advancements

Smart cities are made up of various components that are interconnected. These components exchange data on an ongoing basis and they facilitate the lives of citizens. Its use of Information and Communication Technology (ICT) was a key factor in its sustainable development. Nonetheless, this development contributed to a rise of safety threats, criminal use of information and several other security and privacy challenges. As a result, security and privacy concerns have emerged as a significant problem for smart cities. Safety factors for smart cities have become a concern for all those involved in this field. In this study, we deeply examine and review and the concept of smart cities and the challenges it faces at first. In a second phase, we mainly address the research gap of security in smart cities and present an analysis of associated security challenges. In the last section, we introduce our approach that aims to: (i) capture the processes of penetration attempts, alterations and cyber attacks; (ii) truck malicious behaviors and locate their sources; and (iii) finally setup controls to repel and prevent them. To illustrate the applicability and efficiency of our solution, We refer to a case of study to demonstrate the efficacy of our detection method, using different machine learning algorithms and the dataset CICIDS2017.