Abstract
Nowadays, information technology has entered the era of big data. It is regarded as a revolution that will transform how we live, work and think. In the network era, a large number of data will be generated every day. Most of these data have the participation of our individual users, and the left data footprints can be gathered together to discover a lot of personal privacy. Big data can bring better work and life experience to users, however, it also brings the risk of personal privacy disclosure. This paper will use some theories of sociology, including anomie theory, social control theory, cultural conflict theory, and social exchange theory, to understand the knowledge of big data privacy, and point out some technologies that could solve out the problem: anonymity technology, data encryption technology, different privacy.
Cite
CITATION STYLE
Yuxuan, Y., Xianyu, Z., & Yuanjie, J. (2020). Sociological Aspects of Big Data Privacy. In ACM International Conference Proceeding Series (pp. 230–235). Association for Computing Machinery. https://doi.org/10.1145/3383972.3384075
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