Reduce Privacy Risks

group_project

Visible to the public TWC TTP: Small: Collaborative: Privacy-Preserving Data Collection and Access for IEEE 802.11s-Based Smart Grid Applications

Submitted by Xiuzhen Cheng on Tue, 01/02/2018 - 12:39pm

The modernized Smart Grid (SG) is expected to enable several new applications such as dynamic pricing, demand response and fraud detection; however, collection of such fine-grained data raises privacy issues. This project aims to design and implement several novel mechanisms for securing data collection and communication in SG Advanced Metering Infrastructure applications while preserving user privacy when the data are to be accessed.

Outcomes Report URL: 
https://www.research.gov/research-portal/appmanager/base/desktop?_nfpb=true&_win...
group_project

Visible to the public TWC: Medium: Collaborative: DIORE: Digital Insertion and Observation Resistant Execution

Submitted by Elaine Shi on Thu, 12/21/2017 - 1:46pm

Cloud computing allows users to delegate data and computation to cloud providers, at the cost of giving up physical control of their computing infrastructure. An attacker with physical access to the computing platform can perform various physical attacks, referred to as digital insertion and observation attacks, which include probing memory buses, tampering with memory, and cold-boot style attacks. While memory encryption can prevent direct leakage of data under digital observation, memory access patterns to even encrypted data may leak sensitive information.

group_project

Visible to the public TC: Large: Collaborative Research: Practical Secure Two-Party Computation: Techniques, Tools, and Applications

Submitted by jkatz on Wed, 12/20/2017 - 1:32pm

Many compelling applications involve computations that require sensitive data from two or more individuals. For example, as the cost of personal genome sequencing rapidly plummets many genetics applications will soon be within reach of individuals such as comparing one?s genome with the genomes of different groups of participants in a study to determine which treatment is likely to be most effective. Such comparisons could have tremendous value, but are currently infeasible because of the privacy concerns both for the individual and study participants.

group_project

Visible to the public TWC: Small: Privacy Preserving Cooperation among Microgrids for Efficient Load Management on the Grid

Submitted by Yuan Hong on Tue, 12/19/2017 - 3:33pm

Smart grid integrates sensors and communication infrastructure into the existing power grid to enable operational intelligence. The concept of microgrid is emerging in conjunction with the smart grid wherein small segments of the grid can be isolated into self-sufficient islands to feed their own demand load with their local energy, e.g., wind, solar.

Outcomes Report URL: 
https://www.research.gov/research-portal/appmanager/base/desktop?_nfpb=true&_win...
group_project

Visible to the public TWC: Small: Collaborative: An Iterative Approach to Secure Computation

Submitted by Abhi Shelat on Tue, 12/19/2017 - 2:24pm

Secure multi-party computation (MPC) allows several mutually untrusting parties to perform joint computations while keeping their inputs private. This project develops new techniques for constructing two-party secure computation protocols with low communication overhead. Building on the Principal Investigator's prior work for constructing special-purpose secure MPC protocols for greedy algorithms, this project develops new techniques that exploit the algorithmic structure of a function in order to develop more efficient secure computation protocols.

group_project

Visible to the public TWC: Large: Collaborative: Computing Over Distributed Sensitive Data

Submitted by Stephen Chong on Tue, 12/19/2017 - 1:30pm

Information about individuals is collected by a variety of organizations including government agencies, banks, hospitals, research institutions, and private companies. In many cases, sharing this data among organizations can bring benefits in social, scientific, business, and security domains, as the collected information is of similar nature, of about similar populations. However, much of this collected data is sensitive as it contains personal information, or information that could damage an organization's reputation or competitiveness.

group_project

Visible to the public Synergy: Collaborative: Security and Privacy-Aware Cyber-Physical Systems

Submitted by pajic on Tue, 12/19/2017 - 12:36pm

Security and privacy concerns in the increasingly interconnected world are receiving much attention from the research community, policymakers, and general public. However, much of the recent and on-going efforts concentrate on security of general-purpose computation and on privacy in communication and social interactions.

group_project

Visible to the public Synergy: Collaborative: Security and Privacy-Aware Cyber-Physical Systems

Submitted by Insup Lee on Tue, 12/19/2017 - 12:32pm

Security and privacy concerns in the increasingly interconnected world are receiving much attention from the research community, policymakers, and general public. However, much of the recent and on-going efforts concentrate on security of general-purpose computation and on privacy in communication and social interactions.

group_project

Visible to the public SBE: Small: An Analysis of the Relationship Between Cyberaggression and Self-Disclosure among Diverse Youths

Submitted by April Edwards on Tue, 12/19/2017 - 11:07am

Youths of the digital age live parallel lives online and in the real world, frequently disclosing personal information to cyberfriends and strangers, regardless of race, class or gender. Race and gender do make a difference, however, when these online disclosures lead to acts of cyberaggression. The PIs' previous work revealed that some youths are resistant to cyberaggression and that there are differences in perceptions of cyberbullying among youths from different cultural and racial backgrounds.

group_project

Visible to the public CRII: SaTC: A System for Privacy Management in Ubiquitous Environments

Submitted by Hoda Mehrpouyan on Mon, 12/18/2017 - 5:26pm

As mobile and network technologies proliferate, so does society's awareness of the vulnerability of private data within cyberspace. Protecting private information becomes specially important, since researchers estimate that 87% of Americans can be identified by name and address, if their zip code, gender, and birthday are known to intruders. The goal of this proposal will be to develop a new set of verification tools, algorithms, and interfaces that enable secure, effective and unobtrusive management of users' private information.