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Security and Privacy in Social Networks

Security and Privacy in Social Networks
Author: Yaniv Altshuler
Publisher: Springer Science & Business Media
Total Pages: 254
Release: 2012-08-14
Genre: Computers
ISBN: 1461441390

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Security and Privacy in Social Networks brings to the forefront innovative approaches for analyzing and enhancing the security and privacy dimensions in online social networks, and is the first comprehensive attempt dedicated entirely to this field. In order to facilitate the transition of such methods from theory to mechanisms designed and deployed in existing online social networking services, the book aspires to create a common language between the researchers and practitioners of this new area- spanning from the theory of computational social sciences to conventional security and network engineering.


Security and Privacy for Big Data, Cloud Computing and Applications

Security and Privacy for Big Data, Cloud Computing and Applications
Author: Wei Ren
Publisher: Computing and Networks
Total Pages: 329
Release: 2019-09
Genre: Computers
ISBN: 1785617478

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This book examines various topics and approaches related to the security and privacy in big data and cloud computing, where authors share their expertise in their respective chapters on a broad range of security and privacy challenges and state of the art solutions.


Big Data in Complex and Social Networks

Big Data in Complex and Social Networks
Author: My T. Thai
Publisher: CRC Press
Total Pages: 253
Release: 2016-12-01
Genre: Business & Economics
ISBN: 1315396696

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This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks. The book consists of four parts, covering a wide range of topics. The first part of the book focuses on data storage and data processing. It explores how the efficient storage of data can fundamentally support intensive data access and queries, which enables sophisticated analysis. It also looks at how data processing and visualization help to communicate information clearly and efficiently. The second part of the book is devoted to the extraction of essential information and the prediction of web content. The book shows how Big Data analysis can be used to understand the interests, location, and search history of users and provide more accurate predictions of User Behavior. The latter two parts of the book cover the protection of privacy and security, and emergent applications of big data and social networks. It analyzes how to model rumor diffusion, identify misinformation from massive data, and design intervention strategies. Applications of big data and social networks in multilayer networks and multiparty systems are also covered in-depth.


Security and Privacy in Social Networks and Big Data

Security and Privacy in Social Networks and Big Data
Author: Yang Xiang
Publisher: Springer Nature
Total Pages: 456
Release: 2020-09-25
Genre: Computers
ISBN: 9811590311

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This book constitutes revised and selected papers from the 6th International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2020, held in Tianjin, China, in September 2020. The 38 full papers presented in this volume were carefully reviewed and selected from a total of 111 submissions. The papers are organized according to the topical sections on big data security; social networks; privacy-preserving and security.


Security and Privacy in Social Networks and Big Data

Security and Privacy in Social Networks and Big Data
Author: Limei Lin
Publisher: Springer Nature
Total Pages: 194
Release: 2021-11-16
Genre: Computers
ISBN: 9811679134

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This book constitutes revised and selected papers from the 7th International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2021, held in Fuzhou, China, in November 2021. The 16 full papers presented in this volume were carefully reviewed and selected from a total of 41 submissions. Such themes as privacy protection, security of AI, mobile social networks, Big Data system, applied cryptography, and others are covered in the volume.The papers are organized in the following topical sections: ​Applied Cryptography for Big Data; Big Data System Security; Forensics in Social Networks and Big Data; Privacy Protection in Social Networks; Security and Privacy in Big Database; Security of AI; Trust and Reputations in Social Networks.


Security and Privacy in Social Networks and Big Data

Security and Privacy in Social Networks and Big Data
Author: Budi Arief
Publisher: Springer Nature
Total Pages: 260
Release: 2023-08-02
Genre: Computers
ISBN: 9819951771

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This book constitutes the proceedings of the 9th International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2023, which took place in Canterbury, UK, in August 2023. The 10 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 29 submissions. They were organized in topical sections as follows: information abuse and political discourse; attacks; social structure and community; and security and privacy matters. Papers "Data Reconstruction Attack Against Principal Component Analysis" and "Edge local Differential Privacy for Dynamic Graphs" are published Open Access under the CC BY 4.0 License.


Security and Privacy in Social Networks and Big Data

Security and Privacy in Social Networks and Big Data
Author: Xiaofeng Chen
Publisher: Springer Nature
Total Pages: 372
Release: 2022-10-09
Genre: Computers
ISBN: 9811972427

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This book constitutes the proceedings of the 8th International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2022, which took place in Xi'an, China, in October 2022. The 23 papers presented in this volume were carefully reviewed and selected from 103 submissions. The papers were evaluated on the basis of their significance, novelty, technical quality, as well as on their practical impact or their level of advancement of the field’s foundations. They were organized in topical sections as follows: Cryptography and its applications; Network security and privacy protection; Data detection; Blockchain and its applications.


Security and Privacy in Social Networks and Big Data

Security and Privacy in Social Networks and Big Data
Author: Weizhi Meng
Publisher: Springer Nature
Total Pages: 276
Release: 2019-10-23
Genre: Computers
ISBN: 9811507589

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This book constitutes revised and selected papers from the 5th International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2019, held in Copenhagen, Denmark, in July 2019. The 18 full papers and 3 short papers presented in this volume were carefully reviewed and selected from a total of 76 submissions. The papers in the volume cover a broad range of topics on security in Internet-of-things, Social Networks, User Authentication, Algorithm design, Artificial Intelligence, and Big Data.


Security and Trust in Online Social Networks

Security and Trust in Online Social Networks
Author: Barbara Carminati
Publisher: Morgan & Claypool Publishers
Total Pages: 122
Release: 2013-12-01
Genre: Computers
ISBN: 1627052666

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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 this scenario, OSNs are considered critical applications with respect to the security of users and their resources, for their characteristics alone: the large amount of personal information they manage, big economic upturn connected to their commercial use, strict interconnection among users and resources characterizing them, as well as user attitude to easily share private data and activities with strangers. 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 an OSN have with respect to other (unknown/little-known) parties; (ii) controlled information sharing, because in OSNs, where personal information is not only connected to user profiles, but spans across users' social activities and interactions, users must be provided with the possibility to directly control information flows; and (iii) identity management, because OSNs are subjected more and more to malicious attacks that, with respect to traditional ones, have the advantage of being more effective by leveraging the social network as a new medium for reaching victims. For each of these research topics, in this book we provide both theoretical concepts as well as an overview of the main solutions that commercial/non-commercial actors have proposed over the years. We also discuss some of the most promising research directions in these fields.


Privacy and Security Policies in Big Data

Privacy and Security Policies in Big Data
Author: Tamane, Sharvari
Publisher: IGI Global
Total Pages: 305
Release: 2017-03-03
Genre: Computers
ISBN: 1522524878

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In recent years, technological advances have led to significant developments within a variety of business applications. In particular, data-driven research provides ample opportunity for enterprise growth, if utilized efficiently. Privacy and Security Policies in Big Data is a pivotal reference source for the latest research on innovative concepts on the management of security and privacy analytics within big data. Featuring extensive coverage on relevant areas such as kinetic knowledge, cognitive analytics, and parallel computing, this publication is an ideal resource for professionals, researchers, academicians, advanced-level students, and technology developers in the field of big data.