Publication Details

Computational Social Networks - Security and Privacy

MALINKA Kamil and HANÁČEK Petr. Computational Social Networks - Security and Privacy. Computational Social Networks - Security and Privacy. London: Springer London, 2012, pp. 311-340. ISBN 978-1-4471-4050-4. Available from: http://www.springer.com/computer/communication+networks/book/978-1-4471-4050-4
Czech title
Výpočetní sociální sítě - zabezpečení a ochrana osobních údajů
Type
book chapter
Language
english
Authors
URL
Keywords

security, anonymity, behavioural patterns, social networks

Abstract

This chapter is dealing with anonymous communication. We want to extend the knowledge of security limits of anonymity systems with information based on real-world traffic data. We perform a set of analyses targeting the behavioural patterns of users and their impact on such systems. The first part of the analyses are focused on the properties of email communication relevant to the designers of anonymous systems. The two parameters we are interested in are inter-arrival times, the number of messages sent by an individual user. The importance of our analyses' results for the design and implementation of anonymity systems is discussed. The second part of the analyses are focused on social networks. Information about user profiling, properties of identiable social networks and their development in time are presented in the context of the security of anonymous systems.

Published
2012
Pages
311-340
Book
Computational Social Networks - Security and Privacy
ISBN
978-1-4471-4050-4
Publisher
Springer London
Place
London, GB
DOI
BibTeX
@INBOOK{FITPUB10157,
   author = "Kamil Malinka and Petr Han\'{a}\v{c}ek",
   title = "Computational Social Networks - Security and Privacy",
   pages = "311--340",
   booktitle = "Computational Social Networks - Security and Privacy",
   year = 2012,
   location = "London, GB",
   publisher = "Springer London",
   ISBN = "978-1-4471-4050-4",
   doi = "10.1007/978-1-4471-4051-1",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/10157"
}
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