EAGER

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Visible to the public EAGER: Privacy's Sociocultural Divide across American Youth

This collaborative project explores teenagers' understanding and engagement with privacy, including tool development for strengthening the understanding management of privacy in digital media among U.S. teenagers. Through interviews and focus groups the PIs identify how sociocultural differences, like race and class, impact how teenagers engage with privacy both in their online presence and through their usage of devices and apps.

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Visible to the public EAGER: Privacy in Citizen Science: An Emerging Concern for Research and Practice

Citizen science is a form of collaboration where members of the public participate in scientific research. Citizen science is increasingly facilitated by a variety of wireless, cellular and satellite technologies. Data collected and shared using these technologies may threaten the privacy of volunteers. This project will discover factors which lead to, or allieviate, privacy concerns for citizen science volunteers.

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Visible to the public EAGER: Cybercrime Susceptibility in the Sociotechnical System: Exploration of Integrated Micro- and Macro-Level Sociotechnical Models of Cybersecurity

This project develops a holistic approach to sociotechnical system security that combines innovations in both criminology and engineering/computer science. We design unified sociotechnical security models that capture how sociotechnical intrusions against social as well as technical aspects of the system (i.e., modeled as hidden sequences of system security states) result in observed hard data such as security sensor alerts and soft data produced by human/social sensors such as reports about slow machines.

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Visible to the public EAGER: Automated Content-Based Detection of Public Online Harrassment

Public, online harassment takes many forms, but at its core are posts that are offensive, threatening, and intimidating. It is not an isolated problem. The Pew Research Center found 73% of people had witnessed harassment online, and a full 40% of people had experienced harassment directly. This research develops a method for analyzing the things people post online, and automatically detecting which posts fall into the category of severe public online harassment -- messages posted simply to disrupt, offend, or threaten others.

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Visible to the public EAGER: USBRCCR: Collaborative: Securing Networks in the Programmable Data Plane Era

Recent advances in software-defined networking (SDN) and programmable data planes allow datacenter and enterprise network operators to quickly deploy new protocols, customize network behavior, and develop innovative services. These advances promise to improve and streamline network operations, improving the quality of service provided to end users. However programmable data planes also introduce new complexities to network management, notably, ensuring that the network satisfies critical security properties.

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Visible to the public EAGER: Understanding Cybersecurity Needs and Gaps at the Local Level

This project investigates the degree to which businesses at a local level are dependent on computers and the Internet for daily operations. Of those that are, the project investigates the degree to which they implement good or bad cybersecurity practices with an particular emphasis on very small businesses. Understanding their needs helps fill a knowledge gap within the cybersecurity industry and has local as well as national security and economic implications.

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Visible to the public EAGER: Collaborative: Computational Cognitive Modeling of User Security and Incentive Behaviors

User behavior is a critical element in the success or failure of computer security protections. The field of Human Security Informatics (HSI) combines security informatics and human-computer interaction design to learn how the design of a human-computer interface can affect the security of a computer system. This research project is contributing to the scientific foundations of HSI by modeling how multitasking users behave when making security-critical decisions.

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Visible to the public EAGER: Collaborative: Using Cognitive Techniques To Detect and Prevent Security Flaws

Software vulnerabilities are a substantial problem that exists in part due to programmer errors. A common cause is that programmers have a cognitive gap between their understanding of what actions code will perform and the actual actions the code performs. This work takes a first step toward rigorously understanding how humans think about code to (eventually) help to dramatically reduce bugs by building more human understandable programming languages and programs.

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Visible to the public EAGER: Implementing Practical Provably Secure Authenticated Key Exchange for the Post-Quantum Worl

Cyber security is considered one of the most important aspects of our information technology based society. Key Exchange(KE) is a fundamental cryptographic primitive, and authenticated KE (AKE) is one of the most used cryptographic tools in secure communication protocols (e.g. SSL/TLS, IPSec, SSH) over the Internet. In light of the threat that quantum computers pose to cryptosystems such as RSA and ECC, this project is devoted to the development of secure and efficient AKE alternatives for the post-quantum computer world, which is now considered of a high priority by the US government.

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Visible to the public EAGER: TWC: Collaborative: iPrivacy: Automatic Recommendation of Personalized Privacy Settings for Image Sharing

The objective of this project is to investigate a comprehensive image privacy recommendation system, called iPrivacy (image Privacy), which can efficiently and automatically generate proper privacy settings for newly shared photos that also considers consensus of multiple parties appearing in the same photo. Photo sharing has become very popular with the growing ubiquity of smartphones and other mobile devices.