PriNego (Privacy Negotiation)

Summary

Privacy is a major concern of Web systems. Traditional Web systems employ static privacy agreements to notify its users of how their information will be used. Recent social networks allow users to specify some privacy concerns, thus providing a partially personalized privacy setting. However, still privacy violations are taking place because of different privacy concerns, based on context, audience, or content that cannot be enumerated by a user up front. Accordingly, we propose that privacy should be handled per post and on demand among all that might be affected. To realize this, we envision a multiagent system where each user in a social network is represented by an agent. When a user engages in an activity that could jeopardize a user’s privacy (e.g., publishing a picture), agents of the users negotiate on the privacy concerns that will govern the content. We employ a negotiation protocol and use it to settle differences in privacy expectations. We develop a novel agent that represents its user’s preferences semantically and reason on privacy concerns effectively. Execution of our agent on privacy scenarios from the literature show that our approach can handle and resolve realistic privacy violations before they occur.

PriNego also provides a mobile application. More details can be found here.

Experiment

In this experiment, we have chosen 10 pictures from the Web. Our aim was to understand the privacy concerns of the social network users. For this, each user has been shown 5 pictures in different contexts. We had a personal interview with each user who answered privacy-related questions per picture. Each interview took approximately 30 minutes. The questionnaire is available here.

The dataset is listed below and can be accessed online:

 

Publications

  • A Tool for Negotiating Privacy Constraints in Online Social Networks (Demo Paper) [PDF]
    Kekulluoglu Dilara, Kökciyan Nadin, Yolum Pınar. European Conference on Artificial Intelligence (ECAI), 2016
  • Strategies for Privacy Negotiation in Online Social Networks (Short Paper) [URL] [PDF]
    Kekulluoglu Dilara, Kökciyan Nadin, Yolum Pınar. European Conference on Artificial Intelligence (ECAI), pp. 1608-1609, 2016
  • Strategies for Privacy Negotiation in Online Social Networks [URL] [PDF]
    Kekulluoglu Dilara, Kökciyan Nadin, Yolum Pınar. Proceedings of the 1st International Workshop on AI for Privacy and Security (PrAISe), pp. 2:1-2:8, 2016
  • Negotiating Privacy Constraints in Online Social Networks [URL] [PDF]
    Mester Yavuz, Kökciyan Nadin, Yolum Pınar. Multiagent Foundations of Social Computing Workshop at International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 112-129, 2015