Cybersecurity Workforce

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Visible to the public CI-EN: Trust-Hub: Development of Benchmarks, Metrics, and Validation Platforms for Hardware Security, and a Web-based Dissemination Portal

The growing hardware security community is faced with an immediate need to develop effective tools and benchmarks. The purpose of this project is to lead a community-wide movement toward stronger assurances in our integrated circuits, computational platforms, and electronics supply chain.

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Visible to the public SaTC-EDU: EAGER: CFEAR: Cyber Forensics Education via Augmented Reality

Creative educational and research programs need to be developed that will inspire young adults (also known as millennials) to pursue critical skills needed to drive our cybersecurity and STEM future and close the ever increasing cybersecurity talent gap. In this regard, educators and researchers must develop innovative curriculum incorporating emerging technologies, in addition to the theoretical content, to help cultivate and retain a highly skilled cybersecurity workforce.

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Visible to the public CAREER: RUI: Understanding Human Cognition in Computer Network Defense

The cyber security threat to organizations and governments has continued to grow with increasing dependence on information technology; meanwhile, the entities behind cyber attacks increase in sophistication. Cyber security professionals, the individuals responsible for keeping organizations secure, investigate network activity to find, identify, and respond to threats. These individuals are among the last lines of defense for an organization. Cyber security professionals depend on automated tools to perform their jobs but must make critical decisions that impact security.

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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 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 Capacity Building: Collaborative Research: Integrated Learning Environment for Cyber Security of Smart Grid

Ensuring the cyber-security of the smart grid raises significant interest amongst both general public and researchers. However, the corresponding education programs fall behind in many aspects. Very limited curriculum or hands-on learning resources are available for security education about the smart grid, especially for the mutual impacts between cyber and physical systems.

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

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.

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Visible to the public TC: Large: Collaborative Research: Privacy-Enhanced Secure Data Provenance

Data provenance refers to the history of the contents of an object and its successive transformations. Knowledge of data provenance is beneficial to many ends, such as enhancing data trustworthiness, facilitating accountability, verifying compliance, aiding forensics, and enabling more effective access and usage controls. Provenance data minimally needs integrity assurance to realize these benefits.

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

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.

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Visible to the public CAREER: Secure and Reliable Outsourced Storage Systems Using Remote Data Checking

When data is outsourced at a cloud storage provider, data owners lose control over the integrity of their data and must trust the storage provider unconditionally. Coupled with numerous data loss incidents, this prevents organizations from assessing the risk posed by outsourcing data to untrusted clouds, making cloud storage unsuitable for applications that require long-term security and reliability guarantees. This project establishes a practical remote data checking (RDC) framework as a mechanism to provide long-term integrity and reliability for remotely stored data.