Foster Multidisciplinary Approach
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Submitted by Susan McGregor on Wed, 10/25/2017 - 8:53am
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Submitted by Serge Egelman on Wed, 10/25/2017 - 8:50am
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 Vinod Ganapathy on Wed, 10/25/2017 - 8:09am
The computer security community has long advocated the concept of building multiple layers of defense to protect a system. Unfortunately, it has been difficult to realize this vision in the practice of software development, and software often ships with inadequate defenses, typically developed in an ad hoc fashion.
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Submitted by Tadayoshi Kohno on Tue, 10/24/2017 - 1:51pm
More and more objects used in daily life have Internet connectivity, creating an "Internet of Things" (IoT). Computer security and privacy for an IoT ecosystem are fundamentally important because security breaches can cause real and significant harm to people, their homes, and their community.
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Submitted by dmaimon on Tue, 10/24/2017 - 12:58am
Most of the world's internet access occurs through mobile devices such as smart phones and tablets. While these devices are convenient, they also enable crimes that intersect the physical world and cyberspace. For example, a thief who steals a smartphone can gain access to a person's sensitive email, or someone using a banking app on the train may reveal account numbers to someone looking over her shoulder. This research will study how, when, and where people use smartphones and the relationship between these usage patterns and the likelihood of being a victim of cybercrime.
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Submitted by David Kotz on Tue, 10/24/2017 - 12:53am
This frontier project tackles many of the fundamental research challenges necessary to provide trustworthy information systems for health and wellness, as sensitive information and health-related tasks are increasingly pushed into mobile devices and cloud-based services.
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Submitted by David August on Tue, 10/24/2017 - 12:03am
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 Daniel Wichs on Mon, 10/23/2017 - 11:46pm
The goal of the Modular Approach to Cloud Security (MACS) project is to develop methods for building information systems with meaningful multi-layered security guarantees. The modular approach of MACS focuses on systems that are built from smaller and separable functional components, where the security of each component is asserted individually, and where the security of the system as a whole can be derived from the security of its components. The project concentrates on building outsourced, cloud-based information services with client-centric security guarantees.
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Submitted by Danny Weitzner on Mon, 10/23/2017 - 11:36pm
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.
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Submitted by Daniel Kifer on Mon, 10/23/2017 - 11:29pm
One of the keys to scientific progress is the sharing of research data. When the data contain information about human subjects, the incentives not to share data are stronger. The biggest concern is privacy - specific information about individuals must be protected at all times. Recent advances in mathematical notions of privacy have raised the hope that the data can be properly sanitized and distributed to other research groups without revealing information about any individual. In order to make this effort worthwhile, the sanitized data must be useful for statistical analysis.
