Foster Multidisciplinary Approach
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Submitted by Madeline Diep on Thu, 01/04/2018 - 11:57am
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 kshilton on Wed, 01/03/2018 - 3:58pm
Mobile data are one of the fastest emerging forms of personal data. Ensuring the privacy and security of these data are critical challenges for the mobile device ecosystem. Mobile applications are easy to build and distribute, and can collect a large variety of sensitive personal data. Current approaches to protecting this data rely on security and privacy by design: encouraging developers to proactively implement security and privacy features to protect sensitive data.
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Submitted by Erin Krupka on Wed, 01/03/2018 - 3:54pm
The design of social media interfaces greatly shapes how much, and when, people decide to reveal private information. For example, a designer can highlight a new system feature (e.g., your travel history displayed on a map) and show which friends are using this new addition. By making it seem as if sharing is the norm -- after all, your friends are doing it -- the designer signals to the end-user that he can and should participate and share information.
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Submitted by edwardsuh on Wed, 01/03/2018 - 3:39pm
Current cloud computing platforms, mobile computing devices, and embedded devices all have the security weakness that they permit information flows that violate the confidentiality or integrity of information. This project explores an integrated approach in which software and hardware are co-designed with strong, comprehensive, verifiable security assurance. The goal is to develop a methodology for designing systems in which all forms of information flow are tracked, at both the hardware and software levels, and between these levels.
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Submitted by Dan Lin on Wed, 01/03/2018 - 3:35pm
The objective of this project is to investigate a comprehensive image privacy recommendation system, called iPrivacy (image Privacy), which can efficiently and automatically generate proper privacy settings for newly shared photos that also considers consensus of multiple parties appearing in the same photo. Photo sharing has become very popular with the growing ubiquity of smartphones and other mobile devices.
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Submitted by Paolo Gasti on Wed, 01/03/2018 - 3:21pm
Common smartphone authentication mechanisms such as PINs, graphical passwords, and fingerprint scans offer limited security. They are relatively easy to guess or spoof, and are ineffective when the smartphone is captured after the user has logged in. Multi-modal active authentication addresses these challenges by frequently and unobtrusively authenticating the user via behavioral biometric signals, such as touchscreen interaction, hand movements, gait, voice, and phone location.
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Submitted by Jeisenberg on Wed, 01/03/2018 - 3:17pm
This project provides support for a National Academies Roundtable, the Forum on Cyber Resilience. The Forum will facilitate and enhance the exchange of ideas among scientists, practitioners, and policy makers concerned with the resilience of computing and communications systems, including the Internet, critical infrastructure, and other societally important systems.
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Submitted by Hong Jason on Wed, 01/03/2018 - 2:59pm
Everyday web users have little guidance in handling the growing number of privacy issues they face when they go online. Many web sites - some legitimate, some less so - have behaviors many would consider unexpected or undesirable. These include popular and well-known web sites, as well as web sites that aim to dupe customers with "free" trials. These kinds of sites often detail their behaviors in privacy policies and terms of use pages, but these policies are rarely read, hard to understand, and sometimes intentionally obfuscated with legal jargon, small text, and pale fonts.
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Submitted by mittal on Wed, 01/03/2018 - 2:57pm
Autonomous systems (AS) are key building blocks of the Internet's routing infrastructure. Surveillance of AS may allow large-scale monitoring of Internet users. Those who aim to protect the privacy of their online communications may turn to anonymity systems like Tor, but Tor is not designed to protect against such AS-level adversaries. AS-level adversaries present unique challenges for the design of robust anonymity systems and present a very different threat model from the ones used to design and study systems like Tor.
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Submitted by Stephane Lafortune on Wed, 01/03/2018 - 2:54pm
This project develops a novel methodology for designing secure cyber and cyber-physical systems that can detect attackers and protect against malicious behavior after the system has been compromised.
