IC Colloquium : Privacy and Security Interdependencies in App Markets, Data Analytics Projects, and Cyberinsurance
Event details
| Date | 16.03.2015 |
| Hour | 10:15 › 11:30 |
| Location | |
| Category | Conferences - Seminars |
By : Jens Grossklags - The Pennsylvania State University
IC Faculty candidate
Abstract :
The ubiquity of information technology has allowed people and businesses to form networks on a scale that was previously unimaginable. While the resulting interdependencies can yield very beneficial outcomes, they can also increase risks when access and trust relationships are exploited. In this talk, I will present three studies that tackle the problem space of interdependent privacy and security.
First, I will present a model of privacy decision-making in the context of third-party application markets. Motivated by theoretical work in behavioral economics, I will analyze users’ decisions about the release of their own data, but also the data of their personal connections. The insights guide technical and economic approaches to protect privacy in social networks.
Second, users’ data is increasingly solicited for data analytics projects aiming for insights with societal importance such as in health or public policy. In a game-theoretic model, users are offered control over their participation in data analytics projects, but data analysts can shape the decision-making environment. The solutions to this trade-off scenario offer pathways to effectively utilize accumulated user data in privacy-respectful ways.
Third, I will address the threat of catastrophic security events by providing a mathematical model for the assessment of interdependent security in networked systems. The model determines the probability distribution on the number of compromised nodes in a security event which is a needed result for diverse risk-management approaches such as cyber-insurance.
Bio :
Jens Grossklags is an Assistant Professor and holds the endowed Haile Family Early Career Professorship at the College of Information Sciences and Technology, Pennsylvania State University. Previously, he served as a Postdoctoral Research Associate at the Center for Information Technology Policy, Princeton University. He conducted his dissertation research at UC Berkeley’s School of Information. While at UC Berkeley, he also obtained master’s degrees in Computer Science, and Information Management and Systems. He is studying information privacy and security, technology policy and networked interactions from a theoretical and practical perspective.
More information
IC Faculty candidate
Abstract :
The ubiquity of information technology has allowed people and businesses to form networks on a scale that was previously unimaginable. While the resulting interdependencies can yield very beneficial outcomes, they can also increase risks when access and trust relationships are exploited. In this talk, I will present three studies that tackle the problem space of interdependent privacy and security.
First, I will present a model of privacy decision-making in the context of third-party application markets. Motivated by theoretical work in behavioral economics, I will analyze users’ decisions about the release of their own data, but also the data of their personal connections. The insights guide technical and economic approaches to protect privacy in social networks.
Second, users’ data is increasingly solicited for data analytics projects aiming for insights with societal importance such as in health or public policy. In a game-theoretic model, users are offered control over their participation in data analytics projects, but data analysts can shape the decision-making environment. The solutions to this trade-off scenario offer pathways to effectively utilize accumulated user data in privacy-respectful ways.
Third, I will address the threat of catastrophic security events by providing a mathematical model for the assessment of interdependent security in networked systems. The model determines the probability distribution on the number of compromised nodes in a security event which is a needed result for diverse risk-management approaches such as cyber-insurance.
Bio :
Jens Grossklags is an Assistant Professor and holds the endowed Haile Family Early Career Professorship at the College of Information Sciences and Technology, Pennsylvania State University. Previously, he served as a Postdoctoral Research Associate at the Center for Information Technology Policy, Princeton University. He conducted his dissertation research at UC Berkeley’s School of Information. While at UC Berkeley, he also obtained master’s degrees in Computer Science, and Information Management and Systems. He is studying information privacy and security, technology policy and networked interactions from a theoretical and practical perspective.
More information
Practical information
- General public
- Free
- This event is internal
Contact
- Host : Jean-Pierre Hubaux