Develop System Design Methods
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Submitted by Paul Pavlou on Wed, 10/11/2017 - 12:44pm
A key characteristic of cyberspace is the collection of large amounts of data, and people's privacy becomes vulnerable given the hyper-connectivity of cyberspace and the ease of accessing data. This project aims to enhance the safety and trustworthiness of cyberspace by designing choice architecture interventions informed by the neural processes underlying privacy to help people make better decisions about their privacy in cyberspace.
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Submitted by Norman Sadeh on Wed, 10/11/2017 - 10:14am
Whether it is on their smartphones, in their browsers or on social networks, people are confronted with an increasingly unmanageable number of privacy settings. What is needed is a new, more scalable paradigm that empowers them to regain control over the collection and use of their data. This is particularly the case for mobile apps people download on their smartphones. These apps have been shown to collect and share a wide variety of sensitive data, with users unable to keep up.
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Submitted by ninghui on Tue, 10/10/2017 - 12:57pm
This project aims to bridge the gap between theory and practice in privacy-preserving data sharing and analysis. Data collected by organizations and agencies are a key resource in today's information age. However, the disclosure of those data poses serious threats to individual privacy. While differential privacy provides a solid foundation for developing techniques to balance privacy and utility in data sharing, currently there is a significant gap between theory and practice in research in this area.
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Submitted by Nina Fefferman on Tue, 10/10/2017 - 11:40am
Modern critical infrastructure relies on successful interdependent function among many different types of networks. For example, the Internet depends on access to the power grid, which in turn depends on the power-grid communication network and the energy production network. For this reason, network science researchers have begun examining the robustness of critical infrastructure as a network of networks, or a multilayer network. Research in network anomaly detection systems has focused on single network structures (specifically, the Internet as a single network).
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Submitted by Nadia Heninger on Tue, 10/10/2017 - 10:21am
The ability to generate random numbers -- to flip coins -- is crucial for many computing tasks, from Monte Carlo simulation to secure communications. The theory of building such subsystems to generate random numbers is well understood, but the gap between theory and practice is surprisingly wide. As built today, these subsystems are opaque and fragile. Flaws in these subsystems can compromise the security of millions of Internet hosts.
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Submitted by Mohamed Mahmoud on Mon, 10/09/2017 - 3:32pm
The U.S. power grid is being replaced with a smart grid, a complex network of intelligent electronic devices, distributed generators, and dispersed loads, which requires communication networks for management and coordination. Advanced metering infrastructure (AMI) networks are one part of the smart grid to provide two-way communications between smart meters at the consumers' side and the utility companies. AMI networks allow utilities to collect power consumption data at high frequency rates.
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Submitted by Mihir Bellare on Mon, 10/09/2017 - 3:12pm
This work aims to effectively address security concerns while maintaining the privacy of individuals and corporations. The project analyzes subversive attacks, develops defenses and deterrents, creates privacy tools and software, and increases awareness and expertise through teaching, mentoring and involvement of students in research.
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Submitted by Xinghua Shi on Mon, 10/09/2017 - 1:56pm
The era of personal genomics, where genetic information is ubiquitously available for research, clinical practice or personal curiosity, is quickly approaching. At the same time, there is a growing concern of genetic privacy and the existing educational resources are focused mostly on legal, regulatory or ethical issues in personal genomics.
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Submitted by Wei-Ming Lin on Mon, 10/09/2017 - 1:48pm
Trusted hardware is essential to achieving a secure and trustworthy cyberspace. However, this security foundation is not free of threats. Specifically, an adversary involved in Integrated Circuit (IC) development and supply may launch a number of attacks such as intellectual property theft, design tamper, counterfeiting and overproduction. The Comprehensive National Cyber Security Initiative has identified this supply chain risk management problem as a top national priority.
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Submitted by Michail Polychron... on Mon, 10/09/2017 - 1:41pm
Tools for dynamic detection of malicious software ("malware"), such as antivirus software, often create a protected "analysis environment" (or "sandbox") in which to test suspicious software without risk to the computer system. Malware authors have responded by developing environment-awareness techniques, to enable their malware to recognize and behave differently in a sandbox environment, thereby evading detection. Authors of defense software are endeavoring to ensure that analysis environments exhibit realistic characteristics.
