IEICE TRANSACTIONS on Information
Fuzzy Adaptive Partitioning Method for the Statistical Filtering
Summary :
This paper presents a fuzzy partitioning method that adaptively divides a global key pool into multiple partitions by a fuzzy logic in the statistical filtering-based sensor networks. Compared to the original statistical filtering scheme, the proposed method is more resilient against node compromise.
- Publication
- IEICE TRANSACTIONS on Information Vol.E91-D No.7 pp.2065-2067
- Publication Date
- 2008/07/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1093/ietisy/e91-d.7.2065
- Type of Manuscript
- LETTER
- Category
- Networks
Authors
Keyword
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Sang Ryul KIM, Hae Young LEE, Tae Ho CHO, "Fuzzy Adaptive Partitioning Method for the Statistical Filtering" in IEICE TRANSACTIONS on Information,
vol. E91-D, no. 7, pp. 2065-2067, July 2008, doi: 10.1093/ietisy/e91-d.7.2065.
Abstract: This paper presents a fuzzy partitioning method that adaptively divides a global key pool into multiple partitions by a fuzzy logic in the statistical filtering-based sensor networks. Compared to the original statistical filtering scheme, the proposed method is more resilient against node compromise.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e91-d.7.2065/_p
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@ARTICLE{e91-d_7_2065,
author={Sang Ryul KIM, Hae Young LEE, Tae Ho CHO, },
journal={IEICE TRANSACTIONS on Information},
title={Fuzzy Adaptive Partitioning Method for the Statistical Filtering},
year={2008},
volume={E91-D},
number={7},
pages={2065-2067},
abstract={This paper presents a fuzzy partitioning method that adaptively divides a global key pool into multiple partitions by a fuzzy logic in the statistical filtering-based sensor networks. Compared to the original statistical filtering scheme, the proposed method is more resilient against node compromise.},
keywords={},
doi={10.1093/ietisy/e91-d.7.2065},
ISSN={1745-1361},
month={July},}
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TY - JOUR
TI - Fuzzy Adaptive Partitioning Method for the Statistical Filtering
T2 - IEICE TRANSACTIONS on Information
SP - 2065
EP - 2067
AU - Sang Ryul KIM
AU - Hae Young LEE
AU - Tae Ho CHO
PY - 2008
DO - 10.1093/ietisy/e91-d.7.2065
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E91-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2008
AB - This paper presents a fuzzy partitioning method that adaptively divides a global key pool into multiple partitions by a fuzzy logic in the statistical filtering-based sensor networks. Compared to the original statistical filtering scheme, the proposed method is more resilient against node compromise.
ER -
English
