DocumentCode :
2838017
Title :
ACE: Anomalous Code Elimination Through Automatic Detection Within Source Code
Author :
Stange, M.
Author_Institution :
Nova Southeastern University
fYear :
2004
fDate :
26-29 March 2004
Firstpage :
67
Lastpage :
76
Abstract :
The ACE approach combines prior research techniques with new ones to eliminate anomalous code from source code. The idea is as follows: (1) identify characteristics/patterns of anomalous code, identify proper syntax, and identify rules of safe programming practices (2) encode the above items as evaluation properties, and (3) verify whether the evaluation passed or failed. This process has been automated into a pushdown automation tool that uses relational databases, process algorithms, static analysis and dynamic analysis.
Keywords :
Algorithm design and analysis; Automation; Computer networks; Computer worms; Invasive software; Relational databases; Security; Software testing; System testing; Viruses (medical);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SoutheastCon, 2004. Proceedings. IEEE
Conference_Location :
Greensboro, North Carolina, USA
Print_ISBN :
0-7803-8368-0
Type :
conf
DOI :
10.1109/SECON.2004.1287900
Filename :
1287900
Link To Document :
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