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Overlapped detection via approximate entropy estimation against flooding attack in mobile sensor networks

Title
Overlapped detection via approximate entropy estimation against flooding attack in mobile sensor networks
Authors
Kim M.Chae K.
Ewha Authors
채기준김미희
SCOPUS Author ID
채기준scopus
Issue Date
2006
Journal Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN
0302-9743JCR Link
Citation
vol. 3992 LNCS - II, pp. 1024 - 1032
Indexed
SCOPUS WOS scopus
Abstract
To achieve security in sensor networks, it is important to be able to defend against flooding attack recently considered as an extremely threatening attack. In this paper, we propose a flooding attack detection method as the first defense step, through approximate entropy estimation reflecting resource constraints of sensors. Each detector performs both basic estimation for its own region and overlapped estimation for its own and neighbor regions, against the mobility of attack node. Also, in order to enhance the accuracy of detection even in the various deployments of attack agents, we deploy hierarchically detectors according to network topology. This detector by entropy estimation is simplified by only multiplication calculation instead of logarithm, in addition to providing higher estimation precision of entropy compared to the conventional entropy estimation. Our simulation results indicate that this hierarchical defense is a feasible method, being especially promising for accurate decision through overlapped detection even in frequent handoffs of mobile attack agents. © Springer-Verlag Berlin Heidelberg 2006.
DOI
10.1007/11758525_136
ISBN
3540343814; 9783540343813
Appears in Collections:
엘텍공과대학 > 컴퓨터공학과 > Journal papers
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