Increase Transparency of Data
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Submitted by Jaideep Vaidya on Mon, 11/13/2017 - 3:34pm
Big data analytics can revolutionize innovation and productivity across diverse domains. However, this requires sharing or joint analysis of data, which is often inhibited due to privacy and security concerns. While techniques have been developed to enable the safe use of data for analysis, none of these work for the critical task of outlier detection. Outlier detection is one of the most fundamental data analysis tasks, useful in applications as far ranging as homeland security, to medical informatics, to financial fraud.
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Submitted by Gwendolyn Lee on Mon, 11/13/2017 - 7:52am
As companies collect consumer data in increasingly larger quantity and mine the data more deeply, trade-offs arise with respect to companies' practices about information privacy. A company may choose practices that augment targeted advertisements or services. However, the financial rewards associated with privacy practices are highly uncertain, since they are affected by a company's competition with rivals.
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Submitted by Giovanni Vigna on Mon, 11/13/2017 - 7:21am
The adoption of smartphones has steadily increased in the past few years, and smartphones have become the tool with which millions of users handle confidential information, such as financial and health-related data. As a result, these devices have become attractive targets for cybercriminals, who attempt to violate the trust assumptions underlying the smartphone platform in order to compromise the security and privacy of users.
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Submitted by Fariborz Farahmand on Mon, 11/13/2017 - 5:57am
When making decisions about information privacy, people do not always act rationally according to their best interests. It is thus important to understand why people express concerns about privacy, but often act contrary to their stated intentions.
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Submitted by Emilee Rader on Thu, 11/09/2017 - 6:00am
Ubiquitous computing technologies such as "smart" door locks, thermostats, fitness trackers and video monitors can help make users' lives safer and more efficient. These devices automatically collect data about users and their activities within their homes, which are then combined and processed by algorithms on a cloud server owned by the service provider. This enables beneficial system functionality that would not be possible from the devices in isolation.
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Submitted by Dominic Duggan on Tue, 11/07/2017 - 5:56am
Access control refers to mechanisms for protecting access to confidential information, such as sensitive medical data. Management of access control policies, in applications that involve several collaborating parties, poses several challenges. One of these is in ensuring that each party in such a collaboration only obtains the minimal set of access permissions that they require for the collaboration. In a domain such as healthcare, it may be critical that access be minimized in this way, rather than allowing all parties equal access to the sensitive information.
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Submitted by Yuan Hong on Wed, 10/25/2017 - 11:14am
Smart grid integrates sensors and communication infrastructure into the existing power grid to enable operational intelligence. The concept of microgrid is emerging in conjunction with the smart grid wherein small segments of the grid can be isolated into self-sufficient islands to feed their own demand load with their local energy, e.g., wind, solar.
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Submitted by Serge Egelman on Wed, 10/25/2017 - 7:50am
This research project studies security and privacy for wearable devices. Wearable computing is poised to become widely deployed throughout society. These devices offer many benefits to end users in terms of realtime access to information and the augmentation of human memory, but they are also likely to introduce new and complex privacy and security problems. People who use wearable devices need assurances that their privacy will be respected, and we also need ways to minimize the potential for wearable devices to intrude on the privacy of bystanders and others.
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Submitted by David August on Mon, 10/23/2017 - 11:03pm
Computers today are so complex and opaque that a user cannot possibly hope to know, let alone trust, everything occurring within the machine. While software security techniques help ensure the integrity of user computations, they are only as trustworthy as the underlying hardware. Even though many proposals provide some relief to the problem of hardware trust, the user must ultimately rely on the assurances of other parties. This work restores hardware trust through a simple, small, and slow pluggable hardware element.
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Submitted by Danny Weitzner on Mon, 10/23/2017 - 10:36pm
Transparency Bridges undertakes a cross-cultural investigation of the differences in privacy attitudes between the US and the EU, as a means of exploring the design requirements for user control mechanisms. We (1) investigate the currently available mechanisms in smartphone ecosystems to inform people of collection and use of their personal data, (2) examine how these mechanisms comply with US and EU data privacy legal frameworks, and (3) analyze how different mechanisms respond to requirements in both jurisdictions.
