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Online Social Networks are becoming the most important "places" where people share information about their lives. With the increasing concern that users have about privacy, most social networks offer ways to control the privacy of the user.…

社会与信息网络 · 计算机科学 2014-09-18 Andrea Burattin , Giuseppe Cascavilla , Mauro Conti

The amount of personal information unwillingly exposed by users on online social networks is staggering, as shown in recent research. Moreover, recent reports indicate that these networks are infested with tens of millions of fake users…

社会与信息网络 · 计算机科学 2013-03-18 Michael Fire , Dima Kagan , Aviad Elyashar , Yuval Elovici

We quantify Facebook's ability to build shadow profiles by tracking individuals across the web, irrespective of whether they are users of the social network. For a representative sample of US Internet users, we find that Facebook is able to…

综合经济学 · 经济学 2022-07-20 Luis Aguiar , Christian Peukert , Maximilian Schäfer , Hannes Ullrich

The Facebook Social network is very famous and widely used by millions of users all over the world. Facebook comes with high level of usability so users can easily find their friends and connect to them, but there are security issues…

密码学与安全 · 计算机科学 2017-01-17 Mahmoud Samir Fayed

In this paper, de-anonymizing internet users by actively querying their group memberships in social networks is considered. In this problem, an anonymous victim visits the attacker's website, and the attacker uses the victim's browser…

社会与信息网络 · 计算机科学 2018-01-22 F. Shirani , S. Garg , E. Erkip

In this paper, a new mathematical formulation for the problem of de-anonymizing social network users by actively querying their membership in social network groups is introduced. In this formulation, the attacker has access to a noisy…

信息论 · 计算机科学 2017-10-12 Farhad Shirani , Siddharth Garg , Elza Erkip

Privacy in Online Social Networks (OSNs) evolved from a niche topic to a broadly discussed issue in a wide variety of media. Nevertheless, OSNs drastically increase the amount of information that can be found about individuals on the web.…

社会与信息网络 · 计算机科学 2015-05-25 Thomas Paul , Daniel Puscher , Thorsten Strufe

The new information and communication technology providers collect increasing amounts of personal data, a lot of which is user generated. Unless use policies are privacy-friendly, this leaves users vulnerable to privacy risks such as…

计算机与社会 · 计算机科学 2020-05-20 Jana Korunovska , Bernadette Kamleitner , Sarah Spiekermann

Facebook, the most popular Online social network is a virtual environment where users share information and are in contact with friends. Apart from many useful aspects, there is a large amount of personal and sensitive information publicly…

社会与信息网络 · 计算机科学 2017-05-02 Reza Farahbakhsh , Xiao Han , Angel Cuevas , Noel Crespi

Over the past years, advertisement companies have used various tracking methods to persistently track users across the web. Such tracking methods usually include first and third-party cookies, cookie synchronization, as well as a variety of…

密码学与安全 · 计算机科学 2023-03-29 Paschalis Bekos , Panagiotis Papadopoulos , Evangelos P. Markatos , Nicolas Kourtellis

With the popularity of Social Networking Services (SNS), more and more sensitive information are stored online and associated with SNS accounts. The obvious value of SNS accounts motivates the usage stealing problem -- unauthorized,…

社会与信息网络 · 计算机科学 2013-08-26 Shan-Hung Wu , Man-Ju Chou , Ming-Hung Wang , Chun-Hsiung Tseng , Yuh-Jye Lee , Kuan-Ta Chen

Adversaries leverage social network friend relationships to collect sensitive data from users and target them with abuse that includes fake news, cyberbullying, malware, and propaganda. Case in point, 71 out of 80 user study participants…

社会与信息网络 · 计算机科学 2018-04-27 Sajedul Talukder , Bogdan Carbunar

Users disclose ever-increasing amounts of personal data on Social Network Service platforms (SNS). Unless SNSs' policies are privacy friendly, this leaves them vulnerable to privacy risks because they ignore the privacy policies. Designers…

人机交互 · 计算机科学 2019-12-05 Jana Korunovska , Bernadette Kamleitner , Sarah Spiekermann

Online users generate tremendous amounts of data. To better serve users, it is required to share the user-related data among researchers, advertisers and application developers. Publishing such data would raise more concerns on user…

密码学与安全 · 计算机科学 2018-06-27 Ghazaleh Beigi

This work considers active deanonymization of bipartite networks. The scenario arises naturally in evaluating privacy in various applications such as social networks, mobility networks, and medical databases. For instance, in active…

社会与信息网络 · 计算机科学 2021-06-10 Mahshad Shariatnasab , Farhad Shirani , Elza Erkip

Facebook is today the most popular social network with more than one billion subscribers worldwide. To provide good quality of service (e.g., low access delay) to their clients, FB relies on Akamai, which provides a worldwide content…

网络与互联网体系结构 · 计算机科学 2017-05-03 Reza Farahbakhsh , Angel Cuevas , Antonio M. Ortiz , Xiao Han , Noel Crespi

Recently a simple military exercise on the Internet was perceived as the beginning of a new civil war in the US. Social media aggregate people around common interests eliciting a collective framing of narratives and worldviews. However, the…

Social networks such as Facebook (FB) and Instagram are known for tracking user online behaviour for commercial gain. To this day, there is practically no other way of achieving privacy in said platforms other than renouncing their use.…

社会与信息网络 · 计算机科学 2022-09-09 Robert Cantaragiu , Antonis Michalas , Eugene Frimpong , Alexandros Bakas

Facebook applications are one of the reasons for Facebook attractiveness. Unfortunately, numerous users are not aware of the fact that many malicious Facebook applications exist. To educate users, to raise users' awareness and to improve…

社会与信息网络 · 计算机科学 2013-09-17 Dima Kagan , Michael Fire , Aviad Elyashar , Yuval Elovici

Following the trend of data trading and data publishing, many online social networks have enabled potentially sensitive data to be exchanged or shared on the web. As a result, users' privacy could be exposed to malicious third parties since…

社会与信息网络 · 计算机科学 2017-10-31 Jianwei Qian , Xiang-Yang Li , Yu Wang , Shaojie Tang , Taeho Jung , Yang Fan
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