Privacy and security in online social networks: A survey
I Kayes, A Iamnitchi - Online Social Networks and Media, 2017 - Elsevier
Online social networks (OSN) are a permanent presence in today's personal and
professional lives of a huge segment of the population, with direct consequences to offline …
professional lives of a huge segment of the population, with direct consequences to offline …
A comprehensive survey on online social networks security and privacy issues: Threats, machine learning‐based solutions, and open challenges
Over the past few years, online social networks (OSNs) have become an inseparable part of
people's daily lives. Instead of being passive readers, people are now enjoying their role as …
people's daily lives. Instead of being passive readers, people are now enjoying their role as …
iPrivacy: image privacy protection by identifying sensitive objects via deep multi-task learning
To achieve automatic recommendation of privacy settings for image sharing, a new tool
called iPrivacy (image privacy) is developed for releasing the burden from users on setting …
called iPrivacy (image privacy) is developed for releasing the burden from users on setting …
Data mining in social media
G Barbier, H Liu - Social network data analytics, 2011 - Springer
The rise of online social media is providing a wealth of social network data. Data mining
techniques provide researchers and practitioners the tools needed to analyze large …
techniques provide researchers and practitioners the tools needed to analyze large …
Attribute inference attacks in online social networks
We propose new privacy attacks to infer attributes (eg, locations, occupations, and interests)
of online social network users. Our attacks leverage seemingly innocent user information …
of online social network users. Our attacks leverage seemingly innocent user information …
A survey on privacy in social media: Identification, mitigation, and applications
The increasing popularity of social media has attracted a huge number of people to
participate in numerous activities on a daily basis. This results in tremendous amounts of …
participate in numerous activities on a daily basis. This results in tremendous amounts of …
You are who you know and how you behave: Attribute inference attacks via users' social friends and behaviors
We propose new privacy attacks to infer attributes (eg, locations, occupations, and interests)
of online social network users. Our attacks leverage seemingly innocent user information …
of online social network users. Our attacks leverage seemingly innocent user information …
The privacy jungle: On the market for data protection in social networks
J Bonneau, S Preibusch - Economics of information security and privacy, 2010 - Springer
We have conducted the first thorough analysis of the market for privacy practices and
policies in online social networks. From an evaluation of 45 social networking sites using …
policies in online social networks. From an evaluation of 45 social networking sites using …
Privacy aspects of recommender systems
A Friedman, BP Knijnenburg, K Vanhecke… - Recommender systems …, 2015 - Springer
The popularity of online recommender systems has soared; they are deployed in numerous
websites and gather tremendous amounts of user data that are necessary for …
websites and gather tremendous amounts of user data that are necessary for …
A multi-layered blockchain framework for smart mobility data-markets
Blockchain has the potential to render the transaction of information more secure and
transparent. Nowadays, transportation data are shared across multiple entities using …
transparent. Nowadays, transportation data are shared across multiple entities using …