Privacy Preserving Support Vector Machine Classification in WSN - Softcover

Azim, Muhammad Anwarul; Kim, Dong Seong; Park, Jong Sou

 
9786139846603: Privacy Preserving Support Vector Machine Classification in WSN
Softcover
ISBN 10: 6139846609 ISBN 13: 9786139846603
Verlag: LAP LAMBERT Academic Publishing, 2018

Inhaltsangabe

The increasing prominence of Wireless Sensor Network (WSN) is stimulating greater interest in developing many application areas. WSNs promise viable solutions aiming at many monitoring problems despite energy, communication, computation & storage constraints. The security issues, data privacy, confidentiality and integrity become vital when the sensors are deployed in a hostile environment. Support Vector Machines (SVM) classification is one of the most widely used classifications having advantage of accuracy and sparse representation that SVMs provide for decision boundaries. It is important to achieve energy efficient data mining in WSN while preserving privacy of data. In this thesis we introduce SVM classification for WSN consisting energy efficiency advantage by distributed incremental learning for the training and construction of global SVM classification model without disclosing the data to others. We show security analysis and energy estimation for preserving privacy and energy efficiency in WSN using SVM.

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Über die Autorin bzw. den Autor

Muhammad Anwarul Azim é Professor Associado no Departamento de Informática e Engenharia, Universidade de Chittagong, Chittagong-4331, Bangladesh. O seu bacharelato (Engg.) é do Departamento de Informática e Engenharia, Universidade de Ciência e Tecnologia de Shahjalal, Sylhet, Bangladesh e MSc (Engg.) da Universidade Aeroespacial da Coreia, Coreia do Sul.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2018
Sprache
Englisch
ISBN 10 
6139846609
ISBN 13 
9786139846603
Einband
Taschenbuch
Anzahl der Seiten
60
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Fastbook Publishing
customerservice@vdm-vsg.de

Brivibas gatve 197
Riga
1039
Lettland