Events: Informations- och kommunikationsteknik events at Chalmers University of TechnologyFri, 10 Nov 2017 09:39:24 +0100úl Pardo Jimenez, Computer Science and Engineering<p>Gustaf Dalén-salen, lecture hall, Physics building</p><p>Privacy Policies for Social Networks – A Formal Approach</p><strong><br />Abstract</strong><br />Online Social Networks (OSNs) are ubiquitous, with more than 70% of Internet users being part of them. The pervasive nature of OSNs brings many threats and challenges, privacy being one of them. Very often the available privacy protection mechanisms in OSNs do not meet users requirements. This results in users that are unable to define privacy settings (also known as privacy policies) that meet their expectations. <br /><br />Furthermore, current privacy settings are difficult to understand, which makes users sharing their personal information with more people than they actually intend to. In this thesis we explore novel techniques to protect users' privacy in OSNs. On the one hand, we define a formal framework to write privacy policies in OSNs and to reason about them. We use this framework to define and study current and new types of privacy policies that are not present in today's OSNs. <br /><br />In particular, we look into: i) protection against implicit disclosure of information, e.g., a user sharing someone else's information---without her consent; and ii) evolving privacy policies, i.e., privacy policies that change over time, e.g., &quot;my supervisor cannot see my location during the weekend&quot;. <br /><br />These formalisms also provide a direct enforcement mechanism for this new type of privacy policies. We have developed a proof-of-concept implementation of the enforcement to show the practicality of our technique. We formally prove that this enforcement is correct, i.e., no privacy violations may occur. On the other hand, we look into the problem of embedding privacy policies into the data. Having policies and data as separate entities is prone to consistency issues. It might happen that the data is accessed by individuals who should not have access to it because the access policy is outdated or simply missing. This issue is particularly important in OSNs as they normally rely on geographically distributed databases or have a distributed architecture. Concretely, we use Attributed-Based Encryption (ABE) to &quot;attach&quot; privacy policies to pictures.<p>Wallenberg Conference Centre, Medicinaregatan 20A</p><p>​5th Swedish Workshop on Data Science</p>The Swedish Workshops on Data Science allow members of a community with common interests to meet in the context of a focused and interactive discussion. SweDS 2017, the fifth Swedish Workshop on Data Science, brings together researchers, practitioners, and opinion leaders with interest in data science. The goal is to further establish this important area of research and application in Sweden, foster the exchange of ideas, and to promote collaboration. As a followup to the very successful previous editions, held at the University of Borås, Stockholm University, Blekinge Institute of Technology and Skövde we plan two days of inspiring talks, discussion sessions, and time for networking. We invite stakeholders from academia, industry, and society to share their thoughts, experiences and needs related to data science. <br /><br />Confirmed Keynote Speakers: <br /><ul><li>Josephine Sullivan, School of Computer Science and Communication, KTH </li> <li>Seif Haridi, Chief Scientist, Swedish Institute of Computer Science </li> <li>Sven Nelander, Department of Immunology, Genetics and Pathology, Uppsala University </li> <li>Erik Elmroth, Computing Science, Umeå University</li></ul> seminar on Digitalisation Security & privacy | Machine Intelligence<p>RunAn, conference hall, Kårhuset, Campus Johanneberg</p><p>​Save the date: 15 March 2018</p>​ <br />Next year’s initiative seminar on Digitalisation we focus on the two themes Security/Privacy and Machine Intelligence. More information will follow.