Privacy-aware big data systems and services in the Internet of Things era

The Internet of Thinks;Orchestration;Big data;Privacy protection

Yigitoglu, Emre ; Liu, Ling Computer Science Pu, Calton Navathe, Shamkant Eisenhauer, Greg Wei, Jinpeng ; Liu, Ling

University:Georgia Institute of Technology

Department:Computer Science

关键词: The Internet of Thinks;    Orchestration;    Big data;    Privacy protection;   

Others  :  https://smartech.gatech.edu/bitstream/1853/61164/1/YIGITOGLU-DISSERTATION-2018.pdf

美国|英语

来源: SMARTech Repository

【 摘 要 】

The Internet of Things (IoT) has been considered the next industrial revolution. Connecting physical objects to the Internet and equipping massive sensor generated data with the powerful data analytics capabilities, the IoT holds the potential to transform our everyday life from work, travel, leisure, to entertainment. Because of the numerous opportunities that IoT provides, the number of connected devices is increasing rapidly. This increasing number of smart things will generate huge amounts of data that need to be collected, processed and stored. At the same time, the large scale IoT deployment comprised of a huge number of interconnected and heterogeneous wireless and mobile devices, enabling continuous monitoring of activities, events and happenings in our environments and our society. We argue that the large scale IoT deployment demands privacy-aware big data systems and services that can deliver real-time and life enhancing experiences while respecting both data privacy and user privacy. This dissertation research contributes original ideas and innovative techniques in the context of Internet of Things from three perspectives: information service orchestration, application service deployment, and privacy protection.