In this work we propose two security frameworks merging Elliptic Curve Cryptography (ECC) with symmetric pair-wise keys named Secure Hierarchical clustering (SecHC) and Virtual ECC Group … Plus…
In this work we propose two security frameworks merging Elliptic Curve Cryptography (ECC) with symmetric pair-wise keys named Secure Hierarchical clustering (SecHC) and Virtual ECC Group Key (VEGK) as SecHC update. In addition, we believe that merging the security with clustering will be beneficial to the energy saving in WSN. The proposed schemes modify these clustering algorithms by introducing a tree structure rooted at the base station (BS) to ensure the connectivity of the whole network. In addition to the proposed security schemes, we introduce a fuzzy based clustering technique that takes node´s residual energy, density and number of features sensed in Multi-Modal WSNs. We propose a novel data aggregation technique based fuzzy score as a measure to identify the uniqueness/importance of the reported data. The proposed fuzzy clustering technique does not require the node to be aware of its position in the field. Our proposed algorithms are compared to some of the current security, clustering and aggregation algorithms with different WSNs settings. Secure Clustering in Multi-Modal Wireless Sensor Networks Buch (fremdspr.) Taschenbuch 11.11.2013 Bücher>Fremdsprachige Bücher>Englische Bücher, LAP LAMBERT Academic Publishing, .201<
In this work we propose two security frameworks merging Elliptic Curve Cryptography (ECC) with symmetric pair-wise keys named Secure Hierarchical clustering (SecHC) and Virtual ECC Group … Plus…
In this work we propose two security frameworks merging Elliptic Curve Cryptography (ECC) with symmetric pair-wise keys named Secure Hierarchical clustering (SecHC) and Virtual ECC Group Key (VEGK) as SecHC update. In addition, we believe that merging the security with clustering will be beneficial to the energy saving in WSN. The proposed schemes modify these clustering algorithms by introducing a tree structure rooted at the base station (BS) to ensure the connectivity of the whole network. In addition to the proposed security schemes, we introduce a fuzzy based clustering technique that takes node´s residual energy, density and number of features sensed in Multi-Modal WSNs. We propose a novel data aggregation technique based fuzzy score as a measure to identify the uniqueness/importance of the reported data. The proposed fuzzy clustering technique does not require the node to be aware of its position in the field. Our proposed algorithms are compared to some of the current security, clustering and aggregation algorithms with different WSNs settings. Secure Clustering in Multi-Modal Wireless Sensor Networks Buch (fremdspr.) Taschenbuch Bücher>Fremdsprachige Bücher>Englische Bücher, LAP LAMBERT Academic Publishing<
In this work we propose two security frameworks merging Elliptic Curve Cryptography (ECC) with symmetric pair-wise keys named Secure Hierarchical clustering (SecHC) and Virtual ECC Group … Plus…
In this work we propose two security frameworks merging Elliptic Curve Cryptography (ECC) with symmetric pair-wise keys named Secure Hierarchical clustering (SecHC) and Virtual ECC Group Key (VEGK) as SecHC update. In addition, we believe that merging the security with clustering will be beneficial to the energy saving in WSN. The proposed schemes modify these clustering algorithms by introducing a tree structure rooted at the base station (BS) to ensure the connectivity of the whole network. In addition to the proposed security schemes, we introduce a fuzzy based clustering technique that takes node´s residual energy, density and number of features sensed in Multi-Modal WSNs. We propose a novel data aggregation technique based fuzzy score as a measure to identify the uniqueness/importance of the reported data. The proposed fuzzy clustering technique does not require the node to be aware of its position in the field. Our proposed algorithms are compared to some of the current security, clustering and aggregation algorithms with different WSNs settings. Secure Clustering in Multi-Modal Wireless Sensor Networks Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, LAP LAMBERT Academic Publishing<
Thalia.de
No. 37429900. Frais d'envoi, Versandfertig in 2 - 3 Tagen, DE. (EUR 0.00) Details...
(*) Livre non disponible signifie que le livre est actuellement pas disponible à l'une des plates-formes associées nous recherche.
In this work we propose two security frameworks merging Elliptic Curve Cryptography (ECC) with symmetric pair-wise keys named Secure Hierarchical clustering (SecHC) and Virtual ECC Group … Plus…
In this work we propose two security frameworks merging Elliptic Curve Cryptography (ECC) with symmetric pair-wise keys named Secure Hierarchical clustering (SecHC) and Virtual ECC Group Key (VEGK) as SecHC update. In addition, we believe that merging the security with clustering will be beneficial to the energy saving in WSN. The proposed schemes modify these clustering algorithms by introducing a tree structure rooted at the base station (BS) to ensure the connectivity of the whole network. In addition to the proposed security schemes, we introduce a fuzzy based clustering technique that takes node's residual energy, density and number of features sensed in Multi-Modal WSNs. We propose a novel data aggregation technique based fuzzy score as a measure to identify the uniqueness/importance of the reported data. The proposed fuzzy clustering technique does not require the node to be aware of its position in the field. Our proposed algorithms are compared to some of the current security, clustering and aggregation algorithms with different WSNs settings. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Informatik & EDV / Netzwerke<
[EAN: 9783659486807], Neubuch, [PU: LAP LAMBERT Academic Publishing], INFORMATIK EDV DATENKOMMUNIKATION NETZWERKE CLUSTERING SECURITY FUZZY LOGIC WIRELESS SENSOR NETWORKS, Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: EzzEldin AhmedAhmed Ezz-Eldin Khaled is currently an Assistant Lecturer at Cairo University, Faculty of Engineering - Computer department, Egypt. He has received his MSC and BSC from the Computer Engineering department, Cairo Univers., Books<
In this work we propose two security frameworks merging Elliptic Curve Cryptography (ECC) with symmetric pair-wise keys named Secure Hierarchical clustering (SecHC) and Virtual ECC Group … Plus…
In this work we propose two security frameworks merging Elliptic Curve Cryptography (ECC) with symmetric pair-wise keys named Secure Hierarchical clustering (SecHC) and Virtual ECC Group Key (VEGK) as SecHC update. In addition, we believe that merging the security with clustering will be beneficial to the energy saving in WSN. The proposed schemes modify these clustering algorithms by introducing a tree structure rooted at the base station (BS) to ensure the connectivity of the whole network. In addition to the proposed security schemes, we introduce a fuzzy based clustering technique that takes node´s residual energy, density and number of features sensed in Multi-Modal WSNs. We propose a novel data aggregation technique based fuzzy score as a measure to identify the uniqueness/importance of the reported data. The proposed fuzzy clustering technique does not require the node to be aware of its position in the field. Our proposed algorithms are compared to some of the current security, clustering and aggregation algorithms with different WSNs settings. Secure Clustering in Multi-Modal Wireless Sensor Networks Buch (fremdspr.) Taschenbuch 11.11.2013 Bücher>Fremdsprachige Bücher>Englische Bücher, LAP LAMBERT Academic Publishing, .201<
In this work we propose two security frameworks merging Elliptic Curve Cryptography (ECC) with symmetric pair-wise keys named Secure Hierarchical clustering (SecHC) and Virtual ECC Group … Plus…
In this work we propose two security frameworks merging Elliptic Curve Cryptography (ECC) with symmetric pair-wise keys named Secure Hierarchical clustering (SecHC) and Virtual ECC Group Key (VEGK) as SecHC update. In addition, we believe that merging the security with clustering will be beneficial to the energy saving in WSN. The proposed schemes modify these clustering algorithms by introducing a tree structure rooted at the base station (BS) to ensure the connectivity of the whole network. In addition to the proposed security schemes, we introduce a fuzzy based clustering technique that takes node´s residual energy, density and number of features sensed in Multi-Modal WSNs. We propose a novel data aggregation technique based fuzzy score as a measure to identify the uniqueness/importance of the reported data. The proposed fuzzy clustering technique does not require the node to be aware of its position in the field. Our proposed algorithms are compared to some of the current security, clustering and aggregation algorithms with different WSNs settings. Secure Clustering in Multi-Modal Wireless Sensor Networks Buch (fremdspr.) Taschenbuch Bücher>Fremdsprachige Bücher>Englische Bücher, LAP LAMBERT Academic Publishing<
In this work we propose two security frameworks merging Elliptic Curve Cryptography (ECC) with symmetric pair-wise keys named Secure Hierarchical clustering (SecHC) and Virtual ECC Group … Plus…
In this work we propose two security frameworks merging Elliptic Curve Cryptography (ECC) with symmetric pair-wise keys named Secure Hierarchical clustering (SecHC) and Virtual ECC Group Key (VEGK) as SecHC update. In addition, we believe that merging the security with clustering will be beneficial to the energy saving in WSN. The proposed schemes modify these clustering algorithms by introducing a tree structure rooted at the base station (BS) to ensure the connectivity of the whole network. In addition to the proposed security schemes, we introduce a fuzzy based clustering technique that takes node´s residual energy, density and number of features sensed in Multi-Modal WSNs. We propose a novel data aggregation technique based fuzzy score as a measure to identify the uniqueness/importance of the reported data. The proposed fuzzy clustering technique does not require the node to be aware of its position in the field. Our proposed algorithms are compared to some of the current security, clustering and aggregation algorithms with different WSNs settings. Secure Clustering in Multi-Modal Wireless Sensor Networks Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, LAP LAMBERT Academic Publishing<
- No. 37429900. Frais d'envoi, Versandfertig in 2 - 3 Tagen, DE. (EUR 0.00)
In this work we propose two security frameworks merging Elliptic Curve Cryptography (ECC) with symmetric pair-wise keys named Secure Hierarchical clustering (SecHC) and Virtual ECC Group … Plus…
In this work we propose two security frameworks merging Elliptic Curve Cryptography (ECC) with symmetric pair-wise keys named Secure Hierarchical clustering (SecHC) and Virtual ECC Group Key (VEGK) as SecHC update. In addition, we believe that merging the security with clustering will be beneficial to the energy saving in WSN. The proposed schemes modify these clustering algorithms by introducing a tree structure rooted at the base station (BS) to ensure the connectivity of the whole network. In addition to the proposed security schemes, we introduce a fuzzy based clustering technique that takes node's residual energy, density and number of features sensed in Multi-Modal WSNs. We propose a novel data aggregation technique based fuzzy score as a measure to identify the uniqueness/importance of the reported data. The proposed fuzzy clustering technique does not require the node to be aware of its position in the field. Our proposed algorithms are compared to some of the current security, clustering and aggregation algorithms with different WSNs settings. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Informatik & EDV / Netzwerke<
[EAN: 9783659486807], Neubuch, [PU: LAP LAMBERT Academic Publishing], INFORMATIK EDV DATENKOMMUNIKATION NETZWERKE CLUSTERING SECURITY FUZZY LOGIC WIRELESS SENSOR NETWORKS, Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: EzzEldin AhmedAhmed Ezz-Eldin Khaled is currently an Assistant Lecturer at Cairo University, Faculty of Engineering - Computer department, Egypt. He has received his MSC and BSC from the Computer Engineering department, Cairo Univers., Books<
1Comme certaines plateformes ne transmettent pas les conditions d'expédition et que celles-ci peuvent dépendre du pays de livraison, du prix d'achat, du poids et de la taille de l'article, d'une éventuelle adhésion de la plateforme, d'une livraison directe par la plateforme ou via un prestataire tiers (Marketplace), etc. il est possible que les frais de livraison indiqués par eurolivre ne correspondent pas à ceux de la plateforme qui propose l'article.
Données bibliographiques du meilleur livre correspondant
Informations détaillées sur le livre - Secure Clustering in Multi-Modal Wireless Sensor Networks
EAN (ISBN-13): 9783659486807 ISBN (ISBN-10): 3659486809 Livre de poche Date de parution: 2013 Editeur: AV Akademikerverlag GmbH & Co. KG.
Livre dans la base de données depuis 2014-10-10T09:39:08+02:00 (Zurich) Page de détail modifiée en dernier sur 2023-08-11T16:38:09+02:00 (Zurich) ISBN/EAN: 9783659486807
ISBN - Autres types d'écriture: 3-659-48680-9, 978-3-659-48680-7
