In this SEI Podcast, Dr. Leigh Metcalf and Dr. Jonathan Spring, both researchers with the Carnegie Mellon University Software Engineering Institute’s CERT Division, discuss the application of scientific methods to cybersecurity. As described in their recently published book, Using Science in Cybersecurity, Metcalf and Spring describe a common-sense approach and practical tools for applying scientific rigor to the field of cybersecurity.
Women in Software and Cybersecurity: Eileen Wrubel
Managing Technical Debt: A Focus on Automation, Design, and Architecture
Women in Software and Cybersecurity: Grace Lewis
Women in Software and Cybersecurity: Bobbie Stempfley
Women in Software and Cybersecurity: Dr. Lorrie Cranor
Leading in the Age of Artificial Intelligence
Applying Best Practices in Network Traffic Analysis
10 Types of Application Security Testing Tools and How to Use Them
Using Test Suites for Static Analysis Alert Classifiers
Blockchain at CMU and Beyond
Leading in the Age of Artificial Intelligence
Deep Learning in Depth: The Future of Deep Learning
Deep Learning in Depth: Adversarial Machine Learning
System Architecture Virtual Integration: ROI on Early Discovery of Defects
Deep Learning in Depth: The Importance of Diverse Perspectives
A Technical Strategy for Cybersecurity
Best Practices for Security in Cloud Computing
Risks, Threats, and Vulnerabilities in Moving to the Cloud
Deep Learning in Depth: IARPA's Functional Map of the World Challenge
Deep Learning in Depth: Deep Learning versus Machine Learning
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