D 2014

Improving Intrusion Detection Systems for Wireless Sensor Networks

STETSKO, Andriy, Tobiáš SMOLKA, Václav MATYÁŠ and Martin STEHLÍK

Basic information

Original name

Improving Intrusion Detection Systems for Wireless Sensor Networks

Authors

STETSKO, Andriy (804 Ukraine, guarantor, belonging to the institution), Tobiáš SMOLKA (703 Slovakia, belonging to the institution), Václav MATYÁŠ (203 Czech Republic, belonging to the institution) and Martin STEHLÍK (203 Czech Republic, belonging to the institution)

Edition

Heidelberg, Applied Cryptography and Network Security, p. 343-360, 18 pp. 2014

Publisher

Springer

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Germany

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

storage medium (CD, DVD, flash disk)

References:

Impact factor

Impact factor: 0.402 in 2005

RIV identification code

RIV/00216224:14330/14:00073679

Organization unit

Faculty of Informatics

ISBN

978-3-319-07535-8

ISSN

Keywords in English

Intrusion detection; optimization; wireless sensor networks

Tags

International impact, Reviewed
Změněno: 27/4/2015 05:40, RNDr. Pavel Šmerk, Ph.D.

Abstract

V originále

A considerable amount of research has been undertaken in the field of intrusion detection in wireless sensor networks. Researchers proposed a number of relevant mechanisms, and it is not an easy task to select the right ones for a given application scenario. Even when a network operator knows what mechanism to use, it remains an open issue how to configure this particular mechanism in such a way that it is efficient for the particular needs. We propose a framework that optimizes the configuration of an intrusion detection system in terms of detection accuracy and memory usage. There is a variety of scenarios, and a single set of configuration values is not optimal for all of them. Therefore, we believe, such a framework is of a great value for a network operator who needs to optimize an intrusion detection system for his particular needs, e.g., attacker model, environment, node parameters.

Links

GAP202/11/0422, research and development project
Name: Bezpečnostní protokoly podporující soukromí a detekce průniku v bezdrátových senzorových sítích (Acronym: P202/11/0422)
Investor: Czech Science Foundation