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DTSTART:20181104T020000
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UID:calendar.358636.field_event_date.0@www.wright.edu
DTSTAMP:20260219T215935Z
CREATED:20190422T202522Z
DESCRIPTION:Committee:  Drs. Meilin Liu\, Advisor\, Junjie Zhang\, TK Prasa
 d\, and Adam Bryant (The Design Knowledge Company)ABSTRACT:Decompilation i
 s a process of transforming an executable program into a source-like high-
 level language code\, which plays an important role in malware analysis\, 
 and vulnerability detection. In this thesis\, we design and implement the 
 middle end of a decompiler framework\, focusing on Low Level Language prop
 erties reduction using the optimization techniques\, propagation and elimi
 nation. An open-source software tool\, dagger\, is used to translate binar
 y code to LLVM (Low Level Virtual Machine) Intermediate Representation cod
 e. We perform data flow analysis and control flow analysis on the LLVM for
 mat code to generate high-level code using a Functional Programming Langau
 ge (FPL)\, Haskell.  Multiple test cases are used to verify the correctnes
 s of our decompiler framework.
DTSTART;TZID=America/New_York:20190425T122000
DTEND;TZID=America/New_York:20190425T143000
LAST-MODIFIED:20190423T134313Z
LOCATION:405 Russ Engineering
SUMMARY:Masters Thesis Defense “LLVM-IR based Decompilation” By Ilsoo Jeon
URL;TYPE=URI:/events/masters-thesis-defense-%E2%80%9C
 llvm-ir-based-decompilation%E2%80%9D-ilsoo-jeon
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