Title :
Function Insight: Highlighting Suspicious Sections in Binary Run Traces
Author :
Cheatham, Michelle ; Raber, Jason
Author_Institution :
Cyber Res. Lab., Riverside Res., Beavercreek, OH, USA
Abstract :
Function Insight is a tool for visualizing run traces at the functional level. A key feature is the ability to bring the user\´s attention to particularly important sections of code based on rule-, machine learning- and data mining-based heuristics or a user-defined "interest metric".
Keywords :
data mining; data visualisation; learning (artificial intelligence); program diagnostics; Function Insight; binary run traces; data mining based heuristics; interest metric; machine learning based heuristics; rule based heuristics; suspicious sections; visualization tool; Data mining; Data visualization; Documentation; Heuristic algorithms; Measurement; Reverse engineering; Software; Run trace analysis; differential analysis; profiling; software reverse engineering framework; visualization;
Conference_Titel :
Reverse Engineering (WCRE), 2011 18th Working Conference on
Conference_Location :
Limerick
Print_ISBN :
978-1-4577-1948-6
DOI :
10.1109/WCRE.2011.63
