Showing 1 - 10 of 12 results for the Author - lori flynn Secure Coding
In this report, the authors describe Android secure coding rules, guidelines, and static analysis developed as part of the Mobile SCALe project.
In this presentation, Lori Flynn describes work toward an automated and accurate statistical classifier, intended to efficiently use analyst effort and to remove code flaws.
This report describes recent enhancements to Droid Intent Data Flow Analysis for Information Leakage (DidFail), the CERT static taint analyzer for sets of Android apps.
In this report, the authors describe how the DidFail tool was enhanced to improve its effectiveness.
In this tutorial, SEI researchers describe auditing rules and a lexicon that SEI developed.
In this paper, the authors provide a suggested set of auditing rules and a lexicon for auditing static analysis alerts.
Presentation on research a method to automatically classify and prioritize alerts that minimizes manual effort to address the large volume of alerts
In this article, the authors discuss various smartphone security issues and present tools and strategies to address them.
This poster describes CERT Division research on an automated and accurate statistical classifier.
In this presentation, the authors describe how to use DidFail, a tool that detects potential leaks of sensitive information in Android apps.