Security and Privacy in Social Networks

Security and Privacy in Social Networks

Author: Yaniv Altshuler

Publisher: Springer Science & Business Media

Published: 2012-08-14

Total Pages: 254

ISBN-13: 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.


Big Data in Complex and Social Networks

Big Data in Complex and Social Networks

Author: My T. Thai

Publisher: CRC Press

Published: 2016-12-01

Total Pages: 253

ISBN-13: 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

Published: 2020-09-25

Total Pages: 456

ISBN-13: 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: Xiaofeng Chen

Publisher: Springer Nature

Published: 2022-10-09

Total Pages: 372

ISBN-13: 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: Budi Arief

Publisher: Springer Nature

Published: 2023-08-02

Total Pages: 260

ISBN-13: 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: Limei Lin

Publisher: Springer Nature

Published: 2021-11-16

Total Pages: 194

ISBN-13: 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: Weizhi Meng

Publisher: Springer Nature

Published: 2019-10-23

Total Pages: 287

ISBN-13: 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.


Privacy and Security Policies in Big Data

Privacy and Security Policies in Big Data

Author: Tamane, Sharvari

Publisher: IGI Global

Published: 2017-03-03

Total Pages: 325

ISBN-13: 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.


Online Social Networks Security

Online Social Networks Security

Author: Brij B. Gupta

Publisher: CRC Press

Published: 2021-02-25

Total Pages: 121

ISBN-13: 1000347117

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In recent years, virtual meeting technology has become a part of the everyday lives of more and more people, often with the help of global online social networks (OSNs). These help users to build both social and professional links on a worldwide scale. The sharing of information and opinions are important features of OSNs. Users can describe recent activities and interests, share photos, videos, applications, and much more. The use of OSNs has increased at a rapid rate. Google+, Facebook, Twitter, LinkedIn, Sina Weibo, VKontakte, and Mixi are all OSNs that have become the preferred way of communication for a vast number of daily active users. Users spend substantial amounts of time updating their information, communicating with other users, and browsing one another’s accounts. OSNs obliterate geographical distance and can breach economic barrier. This popularity has made OSNs a fascinating test bed for cyberattacks comprising Cross-Site Scripting, SQL injection, DDoS, phishing, spamming, fake profile, spammer, etc. OSNs security: Principles, Algorithm, Applications, and Perspectives describe various attacks, classifying them, explaining their consequences, and offering. It also highlights some key contributions related to the current defensive approaches. Moreover, it shows how machine-learning and deep-learning methods can mitigate attacks on OSNs. Different technological solutions that have been proposed are also discussed. The topics, methodologies, and outcomes included in this book will help readers learn the importance of incentives in any technical solution to handle attacks against OSNs. The best practices and guidelines will show how to implement various attack-mitigation methodologies.


Security and Privacy in Social Networks

Security and Privacy in Social Networks

Author: Dr.J.Nithyapriya

Publisher: SK Research Group of Companies

Published: 2024-01-18

Total Pages: 147

ISBN-13: 8119980654

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Dr.J.Nithyapriya, Assistant Professor, Department of Computer Science, J.J.College of Arts and Science (Autonomous), Pudukkottai, Tamil Nadu India. Mrs.C.Durgadevi, Assistant Professor, Department of Computer Science, A.V.P. College of Arts and Science, Tiruppur, Tamil Nadu, India. Dr.S.R.Raja, Associate Professor, Department of Computer Science, Saveetha College of Liberal Arts and Science - SIMATS, Chennai, Tamil Nadu, India. Mr.K.Sundaravadivelu, Assistant Professor, Department of Computer Science, School of Information Technology, Madurai Kamaraj University, Madurai, Tamil Nadu, India. Dr.H.Anwer Basha, Associate Professor, Department of Computer Science, Saveetha College of Liberal Arts and Sciences, SIMATS University, Chennai, Tamil Nadu, India.