Understand and Measure Privacy
group_project
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.
group_project
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.
group_project
Submitted by Michael Hay on Mon, 10/09/2017 - 10:06am
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.
group_project
Submitted by Michael Bailey on Mon, 10/09/2017 - 9:37am
This project studies the security of representative personalized services, such as search engines, news aggregators, and on-line targeted advertising, and identifies vulnerabilities in service components that can be exploited by pollution attacks to deliver contents intended by attackers.
group_project
Submitted by Michael Bailey on Mon, 10/09/2017 - 9:34am
This project aims to reduce the impact of software vulnerabilities in Internet-connected systems by developing data-driven techniques for vulnerability measurement, assessment, and notification. Recent advances in Internet-wide scanning make it possible to conduct network surveys of the full public IPv4 address space in minutes.
group_project
Submitted by msherr on Mon, 10/09/2017 - 9:21am
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.
group_project
Submitted by Yilu Zhou on Fri, 10/06/2017 - 2:21pm
While smart phones provide an excellent way for communication, entertaining and education, they also raise many privacy and security concerns. Children are facing the risks of being exposed to inappropriate content due to mis-rated Apps. Both Android and iOS apps come with maturity ratings that examine the existence and intensity of mature themes within each app. However, each mobile platform adopts its own rating policy and rating strategy which creates inconsistency and inaccurate ratings. The maturity ratings for Android apps are purely a result of app developers' self-report.
group_project
Submitted by Meng Yu on Fri, 10/06/2017 - 1:49pm
Cloud computing offers many benefits to users, including increased availability and flexibility of resources, and efficiency of equipment. However, privacy concerns are becoming a major barrier to users transitioning to cloud computing. The privilege design of existing cloud platforms creates great challenges in ensuring the trustworthiness of cloud by granting too much power to the cloud administrators, who could launch serious insider attacks by abusing the administrative privileges.
group_project
Submitted by Somesh Jha on Fri, 10/06/2017 - 1:07pm
Deep packet inspection (DPI) is a crucial tool for protecting networks from emerging and sophisticated attacks. However, it is becoming increasingly difficult to implement DPI effectively due to the rising need for more complex analysis, combined with the relentless growth in the volume of network traffic that these systems must inspect. To address this challenge, future DPI technologies must exploit the power of emerging highly concurrent multi- and many-core platforms.
