Thuraisingham / Kantarcioglu / Abrol Analyzing and Securing Social Networks

Erscheinungsjahr 2016
ISBN: 978-1-4822-4328-4
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 604 Seiten

Securing social networks and ensuring the privacy of the participants has become a crucial need. There are no books to date that address both social network analytics as well as security and privacy. Filling this need, this book discusses concepts, techniques, and tools for analyzing and securing social networks. It covers experimental systems for location mining, sentiment mining, threat prediction, as well as experimental investigation of privacy in social networks and access control models for social networks.

Zielgruppe

Developers, technologists, and managers working on social networks, analytics, security, and privacy.

Autoren/Hrsg.

Thuraisingham, Bhavani

Kantarcioglu, Murat

Abrol, Satyen

Khan, Latifur

Heatherly, Raymond

Khadilkar, Vaibhav

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik EDV | Informatik Digital Lifestyle Internet, E-Mail, Social Media
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit

Inhaltsverzeichnis

Introduction
Supporting Technologies
Social Networks
Semantic Web
Data Analytics
Data Security and Privacy
Cloud Computing
Analyzing Social Networks
Social Network Analytics
Semantic Web-based Social Networks
Location Mining in Social networks
Demographics Prediction in Social Networks
Sentiment Mining in Social Networks
Threat Prediction in Social Networks
Social Networks in the Cloud
Securing Social Networks
Security and Privacy Considerations in Social Networks
Experimental Investigation of Privacy in Social Networks
Experimental Results and Considerations
Access Control Models for Social Networks
Secure Services and Social Networks
Inference Problem in Social Networks