Fuzzy Adaptive Selection of Filtering Schemes for Energy Saving in Sensor Networks

Hae Young LEE; Tae Ho CHO

doi:10.1093/ietcom/e90-b.12.3346

Fuzzy Adaptive Selection of Filtering Schemes for Energy Saving in Sensor Networks

Hae Young LEE, Tae Ho CHO

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Sensor networks are often deployed in unattended environments, thus leaving these networks vulnerable to false data injection attacks in which an adversary injects forged reports into the network through compromised nodes, with the goal of deceiving the base station or depleting the resources of forwarding nodes. Several research solutions have been recently proposed to detect and drop such forged reports during the forwarding process. Each design can provide the equivalent resilience in terms of node compromising. However, their energy consumption characteristics differ from each other. Thus, employing only a single filtering scheme for a network is not a recommendable strategy in terms of energy saving. In this paper, we propose a fuzzy-based adaptive filtering scheme selection method for energy saving. A fuzzy rule-based system is exploited to choose one of three filtering schemes by considering the false traffic ratio, the security threshold value, distance, and the detection power of the filtering scheme. The adaptive selection of the filtering schemes can conserve energy, and guarantee sufficient resilience.

Publication: IEICE TRANSACTIONS on Communications Vol.E90-B No.12 pp.3346-3353

Publication Date: 2007/12/01

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Online ISSN: 1745-1345

DOI: 10.1093/ietcom/e90-b.12.3346

Type of Manuscript: Special Section PAPER (Special Section on Ubiquitous Sensor Networks)

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Hae Young LEE, Tae Ho CHO, "Fuzzy Adaptive Selection of Filtering Schemes for Energy Saving in Sensor Networks" in IEICE TRANSACTIONS on Communications, vol. E90-B, no. 12, pp. 3346-3353, December 2007, doi: 10.1093/ietcom/e90-b.12.3346.
Abstract: Sensor networks are often deployed in unattended environments, thus leaving these networks vulnerable to false data injection attacks in which an adversary injects forged reports into the network through compromised nodes, with the goal of deceiving the base station or depleting the resources of forwarding nodes. Several research solutions have been recently proposed to detect and drop such forged reports during the forwarding process. Each design can provide the equivalent resilience in terms of node compromising. However, their energy consumption characteristics differ from each other. Thus, employing only a single filtering scheme for a network is not a recommendable strategy in terms of energy saving. In this paper, we propose a fuzzy-based adaptive filtering scheme selection method for energy saving. A fuzzy rule-based system is exploited to choose one of three filtering schemes by considering the false traffic ratio, the security threshold value, distance, and the detection power of the filtering scheme. The adaptive selection of the filtering schemes can conserve energy, and guarantee sufficient resilience.
URL: https://globals.ieice.org/en_transactions/communications/10.1093/ietcom/e90-b.12.3346/_p

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@ARTICLE{e90-b_12_3346,
author={Hae Young LEE, Tae Ho CHO, },
journal={IEICE TRANSACTIONS on Communications},
title={Fuzzy Adaptive Selection of Filtering Schemes for Energy Saving in Sensor Networks},
year={2007},
volume={E90-B},
number={12},
pages={3346-3353},
abstract={Sensor networks are often deployed in unattended environments, thus leaving these networks vulnerable to false data injection attacks in which an adversary injects forged reports into the network through compromised nodes, with the goal of deceiving the base station or depleting the resources of forwarding nodes. Several research solutions have been recently proposed to detect and drop such forged reports during the forwarding process. Each design can provide the equivalent resilience in terms of node compromising. However, their energy consumption characteristics differ from each other. Thus, employing only a single filtering scheme for a network is not a recommendable strategy in terms of energy saving. In this paper, we propose a fuzzy-based adaptive filtering scheme selection method for energy saving. A fuzzy rule-based system is exploited to choose one of three filtering schemes by considering the false traffic ratio, the security threshold value, distance, and the detection power of the filtering scheme. The adaptive selection of the filtering schemes can conserve energy, and guarantee sufficient resilience.},
keywords={},
doi={10.1093/ietcom/e90-b.12.3346},
ISSN={1745-1345},
month={December},}

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TY - JOUR
TI - Fuzzy Adaptive Selection of Filtering Schemes for Energy Saving in Sensor Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 3346
EP - 3353
AU - Hae Young LEE
AU - Tae Ho CHO
PY - 2007
DO - 10.1093/ietcom/e90-b.12.3346
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E90-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2007
AB - Sensor networks are often deployed in unattended environments, thus leaving these networks vulnerable to false data injection attacks in which an adversary injects forged reports into the network through compromised nodes, with the goal of deceiving the base station or depleting the resources of forwarding nodes. Several research solutions have been recently proposed to detect and drop such forged reports during the forwarding process. Each design can provide the equivalent resilience in terms of node compromising. However, their energy consumption characteristics differ from each other. Thus, employing only a single filtering scheme for a network is not a recommendable strategy in terms of energy saving. In this paper, we propose a fuzzy-based adaptive filtering scheme selection method for energy saving. A fuzzy rule-based system is exploited to choose one of three filtering schemes by considering the false traffic ratio, the security threshold value, distance, and the detection power of the filtering scheme. The adaptive selection of the filtering schemes can conserve energy, and guarantee sufficient resilience.
ER -