iNet-EGT: An evolutionarily stable adaptation framework for network applications

Chonho Lee; Junichi Suzuki; Athanasios V. Vasilakos

doi:10.1007/978-3-642-12808-0_4

iNet-EGT: An evolutionarily stable adaptation framework for network applications

Chonho Lee
, Junichi Suzuki
, Athanasios V. Vasilakos

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Bioinspired Models of Network, Information, and Computing Systems - 4th International Conference, BIONETICS 2009, Revised Selected Papers
Pages	36-49
Number of pages	14
DOIs	https://doi.org/10.1007/978-3-642-12808-0_4
State	Published - 2010
Event	4th International Conference on Bio-Inspired Models of Network, Information, and Computing Systems, BIONETICS 2009 - Avignon, France Duration: Dec 9 2009 → Dec 11 2009

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
Volume	39 LNICST
ISSN (Print)	1867-8211

Conference

Conference	4th International Conference on Bio-Inspired Models of Network, Information, and Computing Systems, BIONETICS 2009
Country/Territory	France
City	Avignon
Period	12/9/09 → 12/11/09

ASJC Scopus Subject Areas

Computer Networks and Communications

Keywords

Artificial immune systems
Autonomous and adaptive networks
Biologically-inspired networking
Evolutionary game theory

Access to Document

10.1007/978-3-642-12808-0_4

Cite this

Lee, C., Suzuki, J., & Vasilakos, A. V. (2010). iNet-EGT: An evolutionarily stable adaptation framework for network applications. In Bioinspired Models of Network, Information, and Computing Systems - 4th International Conference, BIONETICS 2009, Revised Selected Papers (pp. 36-49). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; Vol. 39 LNICST). https://doi.org/10.1007/978-3-642-12808-0_4

iNet-EGT: An evolutionarily stable adaptation framework for network applications. / Lee, Chonho; Suzuki, Junichi; Vasilakos, Athanasios V.
Bioinspired Models of Network, Information, and Computing Systems - 4th International Conference, BIONETICS 2009, Revised Selected Papers. 2010. p. 36-49 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; Vol. 39 LNICST).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lee, C, Suzuki, J & Vasilakos, AV 2010, iNet-EGT: An evolutionarily stable adaptation framework for network applications. in Bioinspired Models of Network, Information, and Computing Systems - 4th International Conference, BIONETICS 2009, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, vol. 39 LNICST, pp. 36-49, 4th International Conference on Bio-Inspired Models of Network, Information, and Computing Systems, BIONETICS 2009, Avignon, France, 12/9/09. https://doi.org/10.1007/978-3-642-12808-0_4

Lee C, Suzuki J, Vasilakos AV. iNet-EGT: An evolutionarily stable adaptation framework for network applications. In Bioinspired Models of Network, Information, and Computing Systems - 4th International Conference, BIONETICS 2009, Revised Selected Papers. 2010. p. 36-49. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering). doi: 10.1007/978-3-642-12808-0_4

Lee, Chonho ; Suzuki, Junichi ; Vasilakos, Athanasios V. / iNet-EGT : An evolutionarily stable adaptation framework for network applications. Bioinspired Models of Network, Information, and Computing Systems - 4th International Conference, BIONETICS 2009, Revised Selected Papers. 2010. pp. 36-49 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering).

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title = "iNet-EGT: An evolutionarily stable adaptation framework for network applications",

keywords = "Artificial immune systems, Autonomous and adaptive networks, Biologically-inspired networking, Evolutionary game theory",

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iNet-EGT: An evolutionarily stable adaptation framework for network applications

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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