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UID:calendar.255906.field_event_date.0@www.wright.edu
DTSTAMP:20260219T203903Z
CREATED:20171206T151318Z
DESCRIPTION:Committee:  Drs. Adam Bryant\, Advisor\, Mateen Rizki\, and Mic
 helle CheathamABSTRACT:The purpose of this research is to help the beginne
 rs of reverse-engineering\, the process of extracting knowledge or design 
 information from a product and reproducing it on basis of extracted inform
 ation. Beginner users often find it difficult to use\, as the task may be 
 found daunting at first sight due to a lack of existing learning resources
 . We need a better way to present information to the novice reverse engine
 er about how to understand low-level sequences of assembly instructions. T
 his is akin to how the key to learning a foreign language is based upon a 
 fundamental knowledge of the word sequences (grammar).With this in mind\, 
 a web model named ‘WATSRE’ (web-delivered assembly language training for s
 oftware reverse engineering) is developed to analyze the common patterns o
 f sequences in assembly language. The term assembly language is referred a
 s the low-level programming language for a computer\, or microprocessors a
 nd other programmable devices. One of the prime reasons to inquire assembl
 y language is that the executables from the debugger are all in binary ins
 truction format. Moreover\, common sequences are identified from the execu
 table files of the real world C programs. These sequences identified are t
 ranslated to the meaningful words\, which will then be useful for beginner
 s as it is easy to memorize it. Such features developed in this program wi
 ll assist a beginner in understanding and comprehending these instructions
  easily and accurately. In addition to this\, we focus on the working of a
 ssembly instructions and their effect on memory and registers in this work
 . Hence\, the finding of this research will be useful in helping all the r
 everse engineers and people related to this field.
DTSTART;TZID=America/New_York:20171214T090000
DTEND;TZID=America/New_York:20171214T110000
LAST-MODIFIED:20171211T150606Z
LOCATION:405-C Russ Engineering
SUMMARY:Masters Thesis Defense “Web-Delivered Assembly Language Interactive
  Training and its Sequence Identification for Software Reverse Engineering
 ” By Sunethra Thimmapuram
URL;TYPE=URI:/events/masters-thesis-defense-%E2%80%9C
 web-delivered-assembly-language-interactive-training-its-sequence
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