RUI

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Visible to the public SaTC: CORE: Small: RUI: An Exploratory Study of Technology Adoption in K-12: Educational Benefits vs Privacy Costs

Submitted by Kristen Walker on Mon, 07/06/2020 - 3:13pm

This project explores technology adoption practices and interactions and the digital data literacy of education technology adoption decision makers in California K-12 public school districts. Data profiles constructed from the comingling of data from many sources (school, home, mobile technology) can follow the individual through his or her lifetime.

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Visible to the public SaTC: CORE: Small: RUI: Improving Performance of Standoff Iris Recognition Systems Using Deep Learning Frameworks

Submitted by Mahmut Karakaya on Tue, 08/06/2019 - 11:24am

The iris of the eye enables one of the most accurate, distinctive, universal, and reliable biometrics for authenticating the identity of a person. However, the accuracy of iris recognition depends on the quality of data acquisition, which is negatively affected by the angle of view, occlusion, dilation, and other factors. Since standoff iris recognition systems are much less constrained than traditional systems, the captured iris images are likely to be off-angle, dilated, and otherwise less than ideal.

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Visible to the public SaTC: EDU: RUI: Enabling a New Generation of Experts by Finding and Fixing Students' Persistent Misconceptions

Submitted by Peter Peterson on Fri, 03/15/2019 - 10:19am

The stream of high-profile computer security breaches resulting from errors well-known to security experts provides an opportunity to improve cybersecurity education to effectively prepar the next generation of cybersecurity professionals. Students have deeply ingrained misconceptions about how computer security ought to work, and students rely on this false intuition when reasoning about security. The goal of this project is to develop a series of active learning exercises, that use videos, and hands-on exercises, to address these misconceptions.

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Visible to the public SaTC: CORE: Small: RUI: Differentially Private Hypothesis Testing

Submitted by Adam Groce on Thu, 03/14/2019 - 10:07am

In today's world, private companies, hospitals, governments, and other entities frequently maintain large databases that would be hugely valuable to researchers in many fields. However, privacy concerns prevent these databases from being fully utilized. Differential privacy defines conditions under which information about these databases can be released while provably protecting the privacy of the individuals whose data they contain. This project develops differentially private hypothesis tests.

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Visible to the public SaTC: CORE: Small: RUI: Leveraging Movement, Posture, and Anthropometric Contexts to Strengthen the Security of Mobile Biometrics

Submitted by Kiran Balagani on Fri, 03/08/2019 - 3:41pm

Modern smartphones regularly store and access large amounts of personal data, such as e-mails, photos, videos, and banking information. For this reason, securing them is of paramount importance. User authentication is a crucial step towards securing a smartphone. However, current user authentication mechanisms such as graphical passwords, Personal Identification Numbers (PINs), and fingerprint scans offer limited security, and are ineffective after the smartphone has been unlocked.

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Visible to the public CRII: SaTC CPS: RUI: Cyber-Physical System Security in Implantable Insulin Injection Systems

Submitted by Xiali Hei on Wed, 03/06/2019 - 11:15am

Increasingly medical devices are dependent on software and the wireless channel for their operations, which also pose new vulnerabilities to their safe, dependable, and trustworthy operations. Medical devices such as implantable insulin pumps, which are in wide use today, continuously monitor and manage a patient's diabetes without the need for frequent daily patient interventions. These devices, not originally designed against cyber security threats, must now mitigate these threats.

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

Submitted by April Edwards on Wed, 03/06/2019 - 11:04am

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.