• 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