Division of Computer and Network Systems (CNS)
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Submitted by Christopher Kanich on Tue, 03/05/2019 - 4:15pm
Online data storage, everything from past conversations to tax returns to playdate invitations, may be retained at full fidelity for years or decades. Although the data being saved in online archives does not change, the personal and social contexts surrounding them do. Those life changes may necessitate changing or deleting stored data but, unfortunately, the vast quantity of data in users' online archives makes manual management infeasible.
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Submitted by xinmingou on Tue, 03/05/2019 - 4:10pm
As software now pervades nearly every aspect of modern life, securing software is widely acknowledged as a critical problem. Although significant effort has gone into identifying flaws in software, as well as developing tools, libraries, and processes for detecting and mitigating these flaws during software development and maintenance, security problems remain pervasive.
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Submitted by Salim El Rouayheb on Tue, 03/05/2019 - 4:05pm
The Internet of Things (IoT) is emerging as a new Internet paradigm connecting an exponentially increasing number of smart IoT devices and sensors. IoT applications include smart cities, transportation systems, mobile healthcare and smart grid, to name a few. Unlocking the full power of IoT requires analyzing and processing large amounts of data collected by the IoT devices through computationally intensive algorithms that are typically run in the cloud.
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Submitted by Jedidiah Crandall on Tue, 03/05/2019 - 4:01pm
Smart and connected devices, also known as Internet of Things (IoT) devices, are now an integral part of our daily lives. These devices are found in cars, phones, watches, appliances, home security systems, and in critical applications, such as utilities and in the biomedical industry. The convenience provided by IoT devices comes with unique security and privacy concerns. Because of the shortened time-to-market and the fierce competition among companies, security has not been treated as a priority in these devices.
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Submitted by Ryan Gerdes on Tue, 03/05/2019 - 3:57pm
The adoption of services and applications that rely on Unmanned Aircraft Systems (UAS) is expected to continue its acceleration for the foreseeable future. Such services and applications include search and rescue, crop monitoring, real-time traffic monitoring, critical infrastructure inspections, and others.
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Submitted by Mathias Payer on Tue, 03/05/2019 - 2:45pm
Adversaries are outpacing developers in the race to find program vulnerabilities. Where programmers have to find all potential software flaws in their programs and determine whether they are exploitable across all deployments to prevent vulnerabilities, adversaries need only find one software flaw that enables them to achieve their goals in any one deployment. Current techniques to rid programs of vulnerabilities cannot find all such flaws due to the complexity of modern software and their deployments.
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Submitted by Daniela Oliveira on Tue, 03/05/2019 - 2:43pm
Smart and connected devices, also known as Internet of Things (IoT) devices, are now an integral part of our daily lives. These devices are found in cars, phones, watches, appliances, home security systems, and in critical applications, such as utilities and in the biomedical industry. The convenience provided by IoT devices comes with unique security and privacy concerns. Because of the shortened time-to-market and the fierce competition among companies, security has not been treated as a priority in these devices.
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Submitted by Xuetao Wei on Tue, 03/05/2019 - 2:40pm
Smart and connected devices, also known as Internet of Things (IoT) devices, are now an integral part of our daily lives. These devices are found in cars, phones, watches, appliances, home security systems, and in critical applications, such as utilities and in the biomedical industry. The convenience provided by IoT devices comes with unique security and privacy concerns. Because of the shortened time-to-market and the fierce competition among companies, security has not been treated as a priority in these devices.
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Submitted by George Kollios on Tue, 03/05/2019 - 2:35pm
When a program accesses data stored in memory, disk, or on a remote server, its access patterns can leak information about the secret inputs and data. There has been decades of work that investigated how to make a program "oblivious", such that its access patterns leak nothing about the secret inputs or data. Past techniques, however, incur a considerable performance overhead. This project conceives and investigates new, relaxed notions of access pattern privacy, and discovers new algorithms that achieve such notions of privacy with little to no overhead.
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Submitted by Neil Gong on Tue, 03/05/2019 - 2:20pm
Machine learning techniques, particularly deep neural networks, are increasingly integrated into safety and security-critical applications such as autonomous driving, precision health care, intrusion detection, malware detection, and spam filtering. A number of studies have shown that these models can be vulnerable to adversarial evasion attacks where the attacker makes small, carefully crafted changes to normal examples in order to trick the model into making incorrect decisions.
