Title :
Privacy Information Security Classification Study in Internet of Things
Author :
Xiaofeng Lu ; Qi Li ; Zhaowei Qu ; Pan Hui
Author_Institution :
Sch. of Comput. Sci., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
A lot of privacy protection technologies have been proposed, but most of them are independent and aim at protecting some specific privacy. Besides, there is hardly enough deep study into the attributes of privacy. Hence, this paper focuses on the attributes of the privacy information and proposes a method to classify the security level of the privacy information. Privacies are classified into three security levels and each level has its security goal respectively. The Baidu search engine is taken as the research platform of collecting related data. Based on the big data from the search engine, we can classify the security levels of 52 privacy items.
Keywords :
Big Data; Internet of Things; data protection; pattern classification; search engines; security of data; Baidu search engine; Big Data; Internet of Things; data collection; privacy information attributes; privacy information security level classification; privacy protection technologies; research platform; Data privacy; Internet of things; Privacy; Search engines; Security; Sensitivity; Big Data; Internet of Things; Personal Information; Privacy; Privacy Security;
Conference_Titel :
Identification, Information and Knowledge in the Internet of Things (IIKI), 2014 International Conference on
DOI :
10.1109/IIKI.2014.40
