János Tóth, Domokos Esztergár-Kiss

Smart City


Privacy

Traces, especially personal traces, contain semantics about individual preferences, social relations, and physical locations. Personal identity disclosure could happen in collecting, publishing, and utilizing trace data. First, localization techniques may record user or device ID and cause risks. Location by GPS is more secure than GSM, WiFi, Bluetooth, and RFID because centric servers do not need to know device IDs. Second, personal identity could be inferred from published locations, in spite of having been removed/anonymized from the trace data records. Third, traces may expose unwanted privacy information to personalized services and applications. In such case, an anonymizing proxy is to be trusted to store, manage, and protect user locations, and to communicate between applications and users. The challenges are to keep fidelity of data for applications meanwhile protecting privacy. ‎[32]

Smart City

Tartalomjegyzék


Kiadó: Akadémiai Kiadó

Online megjelenés éve: 2019

ISBN: 978 963 454 271 1

This course material is included in the BME Faculty of Transportation Engineering and Vehicle Engineering Master programme. The main topics of Smart City course are the followings: Paradigm shift in urban citizen’s life, Smart city introduction, definitions and evaluation methods, Land use functions and models, city planning and strategic aspects, Utilization possibilities of information from social media, Internet of Things, wireless sensor networks and Smart Grid applications, Intermodal connections with their functionalities in the Smart City, Smart solutions in transportation management, Hungarian and international best practices.

Hivatkozás: https://mersz.hu/toth-esztergar-kiss-smart-city//

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