Scaling Software Security Analysis to Millions of Malicious Programs and Billions of Lines of Code

Scaling Software Security Analysis to Millions of Malicious Programs and Billions of Lines of Code

Software security is a big data problem. The volume of new software artifacts created far outpaces the current capacity of software analysis. This gap has brought an urgent challenge to our security community—scalability. If our techniques cannot cope with an ever increasing volume of software, we w...

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Bibliographic Details
Main Author: Jang, Jiyong
Format: Others
Published: Research Showcase @ CMU 2013
Subjects:
Malware
Triage
Feature Hashing
Co-clustering
Hadoop
Unpatched Code Clone
Bloom Filter
Lineage
Binary Analysis
Code Reuse
Big Data
Electrical and Computer Engineering
Online Access:http://repository.cmu.edu/dissertations/306
http://repository.cmu.edu/cgi/viewcontent.cgi?article=1308&context=dissertations

Internet

http://repository.cmu.edu/dissertations/306
http://repository.cmu.edu/cgi/viewcontent.cgi?article=1308&context=dissertations

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