Exploring the state space of an application protocol: A case study of SMTP

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Patrick LaRoche and A. Nur Zincir-Heywood and 
                 Malcolm I. Heywood",
  title =        "Exploring the state space of an application protocol:
                 A case study of SMTP",
  booktitle =    "IEEE Symposium on Computational Intelligence in Cyber
                 Security (CICS 2011)",
  year =         "2011",
  month =        "11-15 " # apr,
  address =      "Paris",
  pages =        "152--159",
  abstract =     "In this work, we explore the state space of a network
                 application protocol by employing genetic programming
                 techniques. To this end, we target Simple Mail Transfer
                 Protocol (SMTP), which is a well-known and open
                 protocol on the Internet. In order to achieve our goal,
                 we aim to evolve the payload such that solution
                 individuals result in an email being sent successfully
                 through the targeted server. The proposed system
                 implements an archive paradigm where, upon completion
                 of the evolutionary process, a collection (archive) of
                 solutions are presented. Specifically, they can all
                 achieve the goal, but each does so in a unique manner.
                 This collection allows us to examine the state space of
                 the application protocol, giving us the ability to
                 verify that these variations are either intended by the
                 protocol, or should be addressed for security
  keywords =     "genetic algorithms, genetic programming, Internet,
                 SMTP, genetic programming techniques, network
                 application protocol, simple mail transfer protocol,
                 Internet, electronic mail, transport protocols",
  DOI =          "doi:10.1109/CICYBS.2011.5949387",
  notes =        "Also known as \cite{5949387}",

Genetic Programming entries for Patrick LaRoche Nur Zincir-Heywood Malcolm Heywood