ACM Home Page
Please provide us with feedback. Feedback
Denial of service detection and analysis using idiotypic networks paradigm
Full text PdfPdf (1.89 MB)
Source
Genetic And Evolutionary Computation Conference archive
Proceedings of the 10th annual conference on Genetic and evolutionary computation table of contents
Atlanta, GA, USA
SESSION: Ant colony optimization, swarm intelligence, and artificial immune systems papers table of contents
Pages 79-86  
Year of Publication: 2008
ISBN:978-1-60558-130-9
Authors
Marek Ostaszewski  University of Luxembourg, Luxembourg, Luxembourg
Pascal Bouvry  University of Luxembourg, Luxembourg, Luxembourg
Franciszek Seredynski  Polish Academy of Sciences, Warsaw, Poland
Sponsors
ACM: Association for Computing Machinery
SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 8,   Downloads (12 Months): 77,   Citation Count: 1
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1389095.1389107
What is a DOI?

ABSTRACT

In this paper we present a novel intrusion detection architecture based on Idiotypic Network Theory (INIDS), that aims at dealing with large scale network attacks featuring variable properties, like Denial of Service (DoS). The proposed architecture performs dynamic and adaptive clustering of the network traffic for taking fast and effective countermeasures against such high-volume attacks. INIDS is evaluated on the MIT'99 dataset and outperforms previous approaches for DoS detection applied to this set.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
J. P. Anderson. Computer security threat monitoring and surveillance. Technical report, James P. Anderson Co., April 1980.
 
2
H. Bersini. Why the first glass of wine is better than the seventh. In 16th International Workshop on Database and Expert Systems Applications DEXA'05, pages 100--111. Springer, 2005.
 
3
 
4
 
5
 
6
 
7
N. K. Jerne. Towards a network theory of the immune system. Ann. Immunol. (Inst. Pasteur, Paris), 125C(1-2):373--389, 1974.
 
8
 
9
 
10
P. H. Mohr, N. Ryan, and J. Timmis. Exploiting immunological properties for ubiqitous computing systems. In Proceedings of 3rd International Conference on Artificial Immune Systems, ICARIS'04, pages 277--289. Springer, 2004.
 
11
M. Ostaszewski, F. Seredynski, and P. Bouvry. Coevolutionary-based mechanisms for network anomaly detection. Journal of Mathematical Modelling and Algorithms, 6(3):411--431, 2007.
 
12
T. Stibor. On the Appropriateness of Negative Selection for Anomaly Detection and Network Intrusion Detection. PhD thesis, Darmstadt University of Technology, 2006.
 
13
A. O. Tarakanov, L. B. Goncharova, and O. A. Tarakanov. A cytokine formal immune network. In Advances in Artificial Life, 8th European Conference, ECAL'05, pages 510--519. Springer, 2005.


Collaborative Colleagues:
Marek Ostaszewski: colleagues
Pascal Bouvry: colleagues
Franciszek Seredynski: colleagues