In this book, we discuss three main research topics connected to security in online social networks: (i) trust management, because trust can be intended as a measure of the perception of security (in terms of risks/benefits) that users in ...
The enormous success and diffusion that online social networks (OSNs) are encountering nowadays is vastly apparent. Users' social interactions now occur using online social media as communication channels; personal information and activities are easily exchanged both for recreational and business purposes in order to obtain social or economic advantages. In
Social media greatly enables people to participate in online activities and shatters the barrier for online users to create and share information at any place at any time. However, the explosion of user-generated content poses novel challenges for online users to find relevant information, or,
Security and Trust in Online Social Networks (Synthesis Lectures on Information Security, Privacy, & Trust).
Books about Security and Trust in Online Social Networks (Synthesis Lectures on Information Security, Privacy, & Trust).
The book covers tools in the study of online social networks such as machine learning techniques, clustering, and deep learning. A variety of theoretical aspects, application domains, and case studies for analyzing social network data are covered. The aim is to provide new perspectives on utilizing machine learning and related
This book constitutes the refereed proceedings of the 9th International Conference on Trust and Trustworthy Computing, TRUST 2016, held in Vienna, Austria, in August 2016. The 8 full papers presented in this volume were carefully reviewed and selected from 25 submissions. Topics discussed in this year's research contributions included topics
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