Foster Multidisciplinary Approach
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Submitted by golbeck on Sun, 12/03/2017 - 8:43pm
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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Submitted by Jeisenberg on Sat, 12/02/2017 - 5:46pm
This National Academies study examines the tradeoffs associated with mechanisms to provide authorized government agencies with access to the plaintext version of encrypted information. The study describes the context in which decisions about such mechanisms would be made and identifies and characterizes possible mechanisms and alternative means of obtaining information sought by the government for law enforcement or intelligence investigations.
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Submitted by Kirsten Martin on Tue, 11/21/2017 - 5:55am
This project closely examines data aggregation to understand what types of aggregation are normatively and descriptively important to individuals and how do different types and degree of aggregation impact individual trust. This proposed research would advance knowledge and understanding within the study of big data, trust, and business ethics. Initial investigations into data aggregation have been technical to ensure accuracy and diminish unwanted bias.
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Submitted by Kelly Caine on Tue, 11/21/2017 - 5:42am
This research focuses on understanding the digital security and privacy needs of journalists and their sources to evaluate and design communication technologies that better support the fundamental operations of a globally free and unfettered press. Journalists -- along with their organizations and sources -- are known to be high-risk targets for cyberattack. This community can serve as a privacy and security bellwether, motivated to use new technologies, but requiring flexibility and ease-of-use. Many existing secure tools are too cumbersome for journalists to use on a regular basis.
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Submitted by Kevin Steinmetz on Tue, 11/21/2017 - 5:37am
One of the most serious threats in the world today to the security of cyberspace is "social engineering" - the process by which people with access to critical information regarding information systems security are tricked or manipulated into surrendering such information to unauthorized persons, thereby allowing them access to otherwise secure systems. To date, little systematic research has been conducted on social engineering.
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Submitted by Lei Ying on Mon, 11/20/2017 - 3:48pm
The commoditization of private data has been trending up, as big data analytics is playing a more critical role in advertising, scientific research, etc. It is becoming increasingly difficult to know how data may be used, or to retain control over data about oneself. One common practice of collecting private data is based on "informed consent", where data subjects (individuals) decide whether to report data or not, based upon who is collecting the data, what data is collected, and how the data will be used.
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Submitted by Marco Gaboardi on Mon, 11/20/2017 - 5:47am
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.
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Submitted by Katrina Ligett on Mon, 11/20/2017 - 5:37am
This project takes a new approach to problems involving sensitive data, by focusing on rigorous mathematical modeling and characterization of the value of private information. By focusing on quantifying the loss incurred by affected individuals when their information is used -- and quantifying the attendant benefits of such use -- the approaches advanced by this work enable concrete reasoning about the relative risks and rewards of a wide variety of potential computations on sensitive data.
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Submitted by Marten van Dijk on Tue, 11/14/2017 - 11:48am
The goal of the Modular Approach to Cloud Security (MACS) project is to develop methods for building information systems with meaningful multi-layered security guarantees. The modular approach of MACS focuses on systems that are built from smaller and separable functional components, where the security of each component is asserted individually, and where the security of the system as a whole can be derived from the security of its components. The project concentrates on building outsourced, cloud-based information services with client-centric security guarantees.
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Submitted by Kai Zeng on Tue, 11/14/2017 - 11:20am
By the end of this decade, it is estimated that Internet of Things (IoT) could connect as many as 50 billion devices. Near Field Communication (NFC) is considered as a key enabler of IoT. Many useful applications are supported by NFC, including contactless payment, identification, authentication, file exchange, and eHealthcare, etc. However, securing NFC between mobile devices faces great challenges mainly because of severe resource constraints on NFC devices, NFC systems deployed without security, and sophisticated adversaries.
