CAREER

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Visible to the public CAREER: Safety and security for next-generation world-scale real-time medical systems

Interoperable, reconfigurable systems of medical devices are the future of medical technology. They will improve care outcomes by catching common mistakes, reduce clinician cognitive workload by suppressing false alarms, and streamline and simplify continued care, especially when patients move between different medical facilities. As the penetration of "smart" networked medical technology increases, we will see increased problems with cybersecurity of such systems.

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Visible to the public CAREER: Privacy Analytics for Users in a Big Data World

Increasing amounts of data are being collected about users, and increasingly sophisticated analytics are being applied to this data for various purposes. Privacy analytics are machine learning and data mining algorithms applied by end-users to their data for the purpose of helping them manage both private information and their self-presentation.

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Visible to the public CAREER: Practical, Expressive, Language-based Information Security

Language-based security (the use of programming language abstractions and techniques for security) holds the promise of efficient enforcement of strong, formal, fine-grained, application-specific information security guarantees. However, language-based security has not yet reached its potential, and is not in widespread use for providing rich information security guarantees.

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Visible to the public CAREER: Practical Control Engineering Principles to Improve the Security and Privacy of Cyber-Physical Systems

This project focuses on tackling the security and privacy of Cyber-Physical Systems (CPS) by integrating the theory and best practices from the information security community as well as practical approaches from the control theory community. The first part of the project focuses on security and protection of cyber-physical critical infrastructures such as the power grid, water distribution networks, and transportation networks against computer attacks in order to prevent disruptions that may cause loss of service, infrastructure damage or even loss of life.

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Visible to the public CAREER: The Algorithmic Foundations of Data Privacy

The past decade has seen a growing reliance on data driven technologies, including recommendation systems, targeted advertising, and search personalization. This growth in big data has made data privacy into a central concern. The central question raised is: how can we continue to extract useful information from large datasets, while provably protecting some measure of privacy for the individuals contained in these datasets? This research centers around advancing the state of the art in privacy preserving data analysis.

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Visible to the public CAREER: Inference-Based Adaptation Techniques for Next Generation Jamming and Anti-Jamming Capabilities

Continual advances in wireless communication technology offer additional protections against interference and jamming, but these same advances unfortunately also enable stronger attacks. Observant attackers can achieve significant gains by incorporating knowledge of the network under attack, and jammers can consider various metrics, including attack impact, energy efficiency, and stealth. Moreover, attackers can continually adapt parameters and behaviors to compensate for system dynamics, thwart detection, and save valuable resources.

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Visible to the public CAREER: Sensible Privacy: Pragmatic Privacy Controls in an Era of Sensor-Enabled Computing

Social networking and sensor-rich devices such as smartphones are becoming increasingly pervasive in today's society. People can share information concerning their location, activity, fitness, and health with their friends and family while benefiting from applications that leverage such information. Yet, users already find managing their privacy to be challenging, and the complexity involved in doing so is bound to increase.

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Visible to the public CAREER: Secure and Trustworthy Ocular Biometrics

The need for accurate and unforgeable identity recognition techniques has become an issue of increasing urgency. Biometric approaches such as iris recognition hold huge promise but still have significant limitations, including susceptibility to 'spoofing'. This project seeks to advance our knowledge of security and accuracy of multibiometric systems by inventing, evaluating, and applying innovative methods and tools to combine highly accurate static traits, such as iris patterns, with novel traits based on the dynamics of eye movements.

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Visible to the public CAREER: Private Communication in Strongly Adversarial Networks

The ability to communicate and readily access information helps make possible positive social and political change. The Internet's effects on developing nations' educational, economic, and governmental institutions have been well explored by social scientists and technical experts. However, in unfortunately many instances, undemocratic governments monitor and censor Internet communication to attempt to control their populations.

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Visible to the public CAREER: Automatic Learning of Adaptive Network-Centric Malware Detection Models

Malicious software (a.k.a. malware) is at the basis of most cyber-criminal operations, causing significant financial loss and posing great risks to national security.