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 … Altro …
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<
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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 … Altro …
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<
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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 … Altro …
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<
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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 … Altro …
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<
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[EAN: 9783659486807], Neubuch, [PU: LAP LAMBERT Academic Publishing], INFORMATIK EDV DATENKOMMUNIKATION NETZWERKE CLUSTERING SECURITY FUZZY LOGIC WIRELESS SENSOR NETWORKS, Dieser Artikel … Altro …
[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<
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(*) Libro esaurito significa che il libro non è attualmente disponibile in una qualsiasi delle piattaforme associate che di ricerca.
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 … Altro …
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<
- No. 37429900. Costi di spedizione:Zzgl. Versandkosten. (EUR 15.57)
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 … Altro …
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<
No. 37429900. Costi di spedizione:Zzgl. Versandkosten. (EUR 16.07)
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 … Altro …
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. Costi di spedizione:, 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 … Altro …
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<
- Nr. PSRBMTJL4FF. Costi di spedizione:Versandkosten: 0 EUR, 11, zzgl. Versandkosten. (EUR 0.00)
[EAN: 9783659486807], Neubuch, [PU: LAP LAMBERT Academic Publishing], INFORMATIK EDV DATENKOMMUNIKATION NETZWERKE CLUSTERING SECURITY FUZZY LOGIC WIRELESS SENSOR NETWORKS, Dieser Artikel … Altro …
[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<
NEW BOOK. Costi di spedizione:Versandkostenfrei. (EUR 0.00) moluna, Greven, Germany [73551232] [Rating: 4 (von 5)]
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Informazioni dettagliate del libro - Secure Clustering in Multi-Modal Wireless Sensor Networks
EAN (ISBN-13): 9783659486807 ISBN (ISBN-10): 3659486809 Copertina flessibile Anno di pubblicazione: 2013 Editore: AV Akademikerverlag GmbH & Co. KG.
Libro nella banca dati dal 2014-10-10T09:39:08+02:00 (Zurich) Pagina di dettaglio ultima modifica in 2023-08-11T16:38:09+02:00 (Zurich) ISBN/EAN: 9783659486807
ISBN - Stili di scrittura alternativi: 3-659-48680-9, 978-3-659-48680-7
