Characterizing and Prioritizing Malicious Code Transcript Part 1: Identify Characteristics of Destructive Behavior
Abstract
Julia Allen: Welcome to CERT's Podcast Series: Security for Business Leaders. The CERT Division is part of the Software Engineering Institute. We are a federally funded research and development center at Carnegie Mellon University in Pittsburgh, Pennsylvania. You can find out more about us at cert.org. Show notes for today's conversation are available at the podcast website. My name is Julia Allen. I'm a principal researcher at CERT working on operational resilience. I'm very pleased today to welcome Jose Morales. Jose is a senior member of the technical staff at CERT, working in malicious software research with the Forensics, Operations, and Investigations group. And I think you'll find today's subject pretty compelling. We are going to be talking about results that Jose and his research team have produced that describe an automated approach that can help malicious code or malware analysts determine which malware is the most severe, the most malicious, and thus should be the highest priority when it comes to analysis and action. This is particularly critical today given the growth in new malware strains that are released on a daily basis, estimated by some as much as 150,000. And Jose's team has also recently published two blog posts on the SEI website, and we'll include links to these in the show notes for more details.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2014
- Accession Number
- AD1147173
Entities
People
- Jose Morales
- Julia H. Allen
Organizations
- Carnegie Mellon University