Grant Year: 2018

January 14, 2020

Cybersecurity for Urban Infrastructure

The cybersecurity of urban infrastructure systems—including water and transit systems– is crucial, given their fundamental importance for everyday life. Yet there is little research on the cybersecurity of such systems, and what research exists tends not to incorporate social-scientific approaches to understanding human cognition and behavior, and especially perceptions and…

January 14, 2020

Enhancing Security Using Deep Learning Techniques

Recent advances in deep learning have led to state-of-the-art results on a diverse set of tasks, such as image classification, caption generation, natural language processing, and speech recognition. This research team will investigate the use of deep learning techniques to enhance the security of applications, including in IoT devices and…

January 14, 2020

Malpractice, Malice, and Accountability in Machine Learning

As data-driven systems, data science, and machine learning become more prevalent and important, the imperative to govern such technologies grows, too. However, there is currently no accepted definition of best practice, malpractice, or negligence for such systems. This project will study malpractice in data analysis and work to identify the…

January 14, 2020

Model Agnostic Estimation of Threat Probabilities

Providing improved attack probability estimation is a tangible and useful way to shore up cyberdefenses for individual, technological, and societal systems. This research is aimed at developing a data-driven estimation framework for assessing the probabilities of diverse cybersecurity threats. The researchers are developing algorithms for estimating threat probabilities that are…

January 14, 2020

Post and Re-trauma: Enhancing the Cybersecurity of Sexual Assault Victims on Facebook

In the last few years, social media has created supportive spaces where sexual assault victims can share their testimonies, yet social media also serves as a forum for victimizing activities such as stalking, harassing, and humiliating survivors. This study aims to uncover and empirically characterize the negative aspects of Facebook…

January 14, 2020

Privacy Analysis at Scale: A Study of COPPA Compliance

This research team has launched a successful platform for detecting violations of the Children’s Online Privacy Protection Act (COPPA) at scale by automatically observing the behaviors of tens of thousands of free Android apps. They also have developed a website for use by parents, who can review the privacy behaviors…

August 22, 2019

Mobile App Privacy Analysis with AppCensus

Over the past several years, our research team has developed infrastructure that gives us an unprecedented view into the privacy behaviors of Android apps. AppCensus is our dynamic analysis testbed that combines bespoke instrumentation within the operating system itself with sophisticated network analysis tools, which allows us to detect exactly…