Software Engineering Institute | Carnegie Mellon University
Software Engineering Institute | Carnegie Mellon University

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Showing 1 - 7 of 7 results for Science of Cybersecurity

Technical Report | June 2014 - Technical Report Job Analysis Results for Malicious-Code Reverse Engineers ... By Jennifer Cowley

This report describes individual and team factors that enable, encumber, or halt the development of malicious-code reverse engineering expertise.

Webinar | November 2017 - Webinar Weaving a Fabric of Trust: Ensured Security, Privacy ... By Greg Shannon

During this webinar, Dr. Shannon examined the questions, science, and technology that builds trust with customers, other organizations, and society to ensure their security and privacy, and our own resilience and accountability.

White Paper | December 2003 - White Paper CERT Research 2003 Annual Report

This report provides brief abstracts for major research projects, followed by more detailed descriptions of these projects, for all CERT research conducted in the year 2003.

Presentation | March 2017 - Presentation Security Measurement: Establishing Confidence that Security ... By Carol Woody - PhD, Christopher J. Alberts

The SEI is researching how measurement can be used to establish confidence in software security. This presentation shares our progress to date.

Article | July 2014 - Article Exploring a Mechanistic Approach to Experimentation in ... By Jonathan Spring,

In this article, the authors describe the benefits of applying the mechanistic approach in philosophy of science to experimentation in computing.

Technical Note | August 2013 - Technical Note Unintentional Insider Threats: A Foundational Study By CERT Insider Threat Team

In this report, the CERT Insider Threat team examines unintentional insider threat (UIT), a largely unrecognized problem.

Poster | October 2014 - Poster Deep Focus: Increasing User “Depth of Field” to Improve ... By William R. Claycomb, Roy Maxion (Carnegie Mellon CyLab)

In this poster, a CERT Threat Detection Project is illustrated, including the problem, goals, approach, and data collection methods.