National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Binary-Code Decoding to a High-Level Representation
Macko, Lukáš ; Soukup, Ondřej (referee) ; Matula, Peter (advisor)
The thesis deals with reverse techniques in software engineering. It presents practical application of software reverse engineering, used tools and approaches. The topic of instruction decoding is discussed in detail. Two basic methods are presented-linear sweep and recursive descent. Their strengths and weaknesses are highlighted. Subsequently a decompiler developed by AVG Technologies is introduced. The decompiler is retargetable. This feature allows to decompile applications of multiple platforms into various target languages. The aim of  the thesis is to design and implement algorithm for  decoding binary files into high-level representation. The designed algorithm is based on modified recursive descent algorithm, which uses control flow information. In order to achieve more accurate decoding results, symbol table records and other additional information are used. The proposed algorithm was implemented for the AVG Technologies retargetable decompiler. The tests showed that the implemented algorithm improved the function detection in decoded programs. Furthermore, the implemented solution allows to decode files that could not be analysed using the previous version of the decompiler. 
Binary-Code Decoding to a High-Level Representation
Macko, Lukáš ; Soukup, Ondřej (referee) ; Matula, Peter (advisor)
The thesis deals with reverse techniques in software engineering. It presents practical application of software reverse engineering, used tools and approaches. The topic of instruction decoding is discussed in detail. Two basic methods are presented-linear sweep and recursive descent. Their strengths and weaknesses are highlighted. Subsequently a decompiler developed by AVG Technologies is introduced. The decompiler is retargetable. This feature allows to decompile applications of multiple platforms into various target languages. The aim of  the thesis is to design and implement algorithm for  decoding binary files into high-level representation. The designed algorithm is based on modified recursive descent algorithm, which uses control flow information. In order to achieve more accurate decoding results, symbol table records and other additional information are used. The proposed algorithm was implemented for the AVG Technologies retargetable decompiler. The tests showed that the implemented algorithm improved the function detection in decoded programs. Furthermore, the implemented solution allows to decode files that could not be analysed using the previous version of the decompiler. 

Interested in being notified about new results for this query?
Subscribe to the RSS feed.