Medium

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Visible to the public SaTC: CORE: Medium: End-to-End Support for Privacy in the Internet -of-things

Submitted by Yuvraj Agarwal on Tue, 02/26/2019 - 10:27am

Interest in the Internet-of-Things (IoT) has increased tremendously over the past few years. Our homes, buildings, and even cities are starting to be instrumented with devices, sensors, and actuators that will provide new capabilities to users, help automate the mundane tasks in their lives, and ultimately to improve quality of life. However, a primary challenge to the long-term success of IoT is privacy.

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Visible to the public SaTC: CORE: Medium: Collaborative: Theory and Practice of Cryptosystems Secure against Subversion

Submitted by Hong-Sheng Zhou on Tue, 02/26/2019 - 10:24am

The discipline of cryptography provides the basic digital tools used across the globe to ensure data privacy and authenticity. With the broad deployment of these tools--often invisibly embedded in commercial software or hardware--an unconventional but devastating type of cyberattacks have emerged. These attacks involve deploying a cleverly subverted version of a cryptographic tool that appears to function normally, but in fact deliberately reduces security in a covert way that is known only to the subverting party.

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Visible to the public SaTC: CORE: Medium: Large-Scale Data Driven Anomaly Detection and Diagnosis from System Logs

Submitted by Feifei Li on Mon, 02/25/2019 - 6:08pm

Detecting unusual and anomalous behavior in computer systems is a critical part of ensuring they are secure and trustworthy. System logs, which record actions taken by programs, are a promising source of data for such anomaly detection. However, existing practices and tools for doing log analysis require deep expertise, as well as heavy human involvement in both defining and interpreting possible anomalies, which limits their scalability and effectiveness.

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Visible to the public SaTC: CORE: Medium: Collaborative: Presentation-attack-robust biometrics systems via computational imaging of physiology and materials

Submitted by Vishal Patel on Mon, 02/25/2019 - 5:59pm

Many physical characteristics, such as face, fingerprints, and iris as well as behavioral characteristics such as voice, gait, and keystroke dynamics, are believed to be unique to an individual. Hence, biometric analysis offers a reliable solution to the problem of identity verification. It is now widely acknowledged that biometric systems are vulnerable to manipulation where the true biometric is falsified using various attack strategies; such attacks are referred to as Presentation Attacks (PAs).

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Visible to the public SaTC: CORE: Medium: Collaborative: Understanding and Discovering Illicit Online Business Through Automatic Analysis of Online Text Traces

Submitted by XiaoFeng Wang on Mon, 02/25/2019 - 5:55pm

Unlawful online business often leaves behind human-readable text traces for interacting with its targets (e.g., defrauding victims, advertising illicit products to intended customers) or coordinating among the criminals involved. Such text content is valuable for detecting various types of cybercrimes and understanding how they happen, the perpetrator's strategies, capabilities and infrastructures and even the ecosystem of the underground business.

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Visible to the public SaTC: TTP: Medium: Collaborative: Securing the Software Supply Chain

Submitted by Reza Curtmola on Mon, 02/25/2019 - 5:43pm

Making modern software involves tools such as a source code management system, a verify/build/package system, and a repository for distributing software and updates. The security of this software chain is dramatically overlooked today, as many recent incidents demonstrate. Existing defenses provide piecemeal solutions to individual problems and, when combined, do not provide end-to-end guarantees.

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Visible to the public SaTC: CORE: Medium: Collaborative: Towards Trustworthy Deep Neural Network Based AI: A Systems Approach

Submitted by Suman Jana on Mon, 02/25/2019 - 5:34pm

Artificial intelligence (AI) is poised to revolutionize the world in fields ranging from technology to medicine, physics and the social sciences. Yet as AI is deployed in these domains, recent work has shown that systems may be vulnerable to different types of attacks that cause them to misbehave; for instance, attacks that cause an AI system to recognize a stop sign as a speed-limit sign.

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Visible to the public SaTC: CORE: Medium: Collaborative: Enforcement of Geofencing Policies for Commercial Unmanned Aircraft Systems

Submitted by Ming Li on Mon, 02/25/2019 - 5:02pm

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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Visible to the public SaTC: CORE: Medium: Collaborative: Bridging the Gap between Protocol Design and Implementation through Automated Mapping

Submitted by Daniel Jackson on Mon, 02/25/2019 - 4:56pm

Computer networking and the internet have revolutionized our societies, but are plagued with security problems which are difficult to tame. Serious vulnerabilities are constantly being discovered in network protocols that affect the work and lives of millions. Even some protocols that have been carefully scrutinized by their designers and by the computer engineering community have been shown to be vulnerable afterwards. Why is developing secure protocols so hard?

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Visible to the public SaTC: CORE: Medium: Collaborative: Using machine learning to build more resilient and transparent computer systems

Submitted by Lujo Bauer on Mon, 02/25/2019 - 4:49pm

Machine learning algorithms are increasingly part of everyday life: they help power the ads that we see while browsing the web, self-driving aids in modern cars, and even weather prediction and critical infrastructure. We rely on these algorithms in part because they perform better than alternatives and they can be easy to customize to new applications. Many machine learning algorithms also have a big weakness: it is difficult to understand how and why they compute the answers they provide.