Visual cryptography and concurrent slice-tracking with privacy preserving in data mining

Saxena, Akash; Saxena, Khushboo; Chouhan, Kuldeep

doi:10.1109/ictbig.2016.7892647

Cited by 1 publication

(1 citation statement)

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“…As can be seen that cryptography is a popular methodology for preserving privacy in different areas. Besides preserving privacy in data mining [22] or in cloud computing [23], it is also used to preserve privacy in social networks. As an illustration, Sakib and Huang [24] proposed a protocol based on elliptic curve cryptography to test whether two users in a social network are in an agreed distance range without disclosing their exact locations.…”

Section: Introductionmentioning

confidence: 99%

Privacy issues in social networks and analysis: a comprehensive survey

Pham

Sood

et al. 2018

IET Networks

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Social networks have become part of today's life; however, they also create numerous privacy problems for their users as they reveal sensitive information. Thus, the privacy preservation has become a big problem in social networks and there are several researches related to this topic. However, the current research achievements for this issue are only ad hoc solutions and the broad picture of the problem is not clear. This paper surveys a wide range of related researches and realises that the topic includes many sub-areas; for example, the privacy in publishing social network data for the use of third-party consumers or the privacy of users in the leakage of individuals' information to unexpected people in their social circle. The study also analyses the advantages as well as limitations of proposed solutions. On the basis of that the research outlines key outstanding issues and recommends directions for the future research. Moreover, the research also investigates common privacy metrics and popular privacy-preserving techniques to provide readers some basic tools to resolve open problems in the topic. The ultimate purpose of this research is to pave a solid background for people, who are interested in the topic, to do research further.

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Section: Introductionmentioning

confidence: 99%