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We have built a tool for inspecting and managing data lakes. The motivations for creating this tool are 1) schema discovery (determining links pertinent to solving a data analysis problem), 2) discovering high risk links in data schemas that give rise to Information Security problems and 3) discovering high value relationships enabling data asset curation. The tool works by extracting metadata from...
The power of big data gives us an unprecedented chance to understand, analyze, and recreate the world, while open data ensures that power be shared and widely exploited. Open and big data has become the emerging topics for researchers and governments. Thus, the related privacy issues also become an emerging urgent problem. In this work, we propose a conceptual framework of privacy weaving pipeline...
Mobile dating apps have become a popular means to meet potential partners. Although several exist, one recent addition stands out amongst all others. Tinder presents its users with pictures of people geographically nearby, whom they can either like or dislike based on first impressions. If two users like each other, they are allowed to initiate a conversation via the chat feature. In this paper we...
The risks due to a global and unaware diffusion of our personal data cannot be overlooked when more than two billion people are estimated to be registered in at least one of the most popular online social networks. As a consequence, privacy has become a primary concern among social network analysts and Web/data scientists. Some studies propose to “measure” users' profile privacy according to their...
Social media users often find it difficult to make appropriate access control decisions which govern how they share their information with a potentially large audience on these platforms. Community detection algorithms have been previously put forth as a solution which can help users by automatically partitioning their friend network. These partitions can then be used by the user as a basis for making...
Third party tracking of user behavior via web cookies represents a privacy threat. In this paper we assess this threat through an analysis of anonymized, crowdsourced cookie data provided by Cookiepedia.co.uk. We find that nearly 45% of the cookies in the corpus are from Facebook and of the remaining cookies 25% come from 10 distinct domains. Over 65% are Maximal Permission cookies (i.e., 3rd party,...
Online Social Networks (OSNs) remain the focal point of Internet usage. Since the beginning, networking sites tried best to have right privacy mechanisms in place for users, enabling them to share the right content with the right audience. With all these efforts, privacy customizations remain hard for users across the sites. Existing research that address this problem mainly focus on semi-supervised...
Preserving online privacy is becoming increasingly challenging due in large part to the continued growth of social media. Those who choose to share their information publicly may not realize what features of their profiles make their public data more identifiable and potentially vulnerable to cross-site record linkage. This paper proposes a risk reduction recommendation method that suggests removal...
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