Transition to Practice

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.

Access to publicly available information can be disrupted by various techniques, and alternative disruptive techniques continue to be developed. Understanding these alternative disruption techniques and how they affect network anonymity, privacy, and performance is paramount not only to the successful design of future technologies, but also to the security of existing networks and systems.

The security architecture of consumer operating systems is currently undergoing a fundamental change. In platforms such as Android, iOS, and Windows 8, each application is a separate security principal that can own data. While this distinction is a vast improvement over traditional user-focused security architectures, sharing data between applications results in an unexpected loss of control of that data, potentially exposing security and privacy sensitive information.

The collection and analysis of personal data about individuals has revolutionized information systems and fueled US and global economies. But privacy concerns regarding the use of such data loom large. Differential privacy has emerged as a gold standard for mathematically characterizing the privacy risks of algorithms using personal data. Yet, adoption of differentially private algorithms in industry or government agencies has been startlingly rare.