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ISBN 10: 6139935350 ISBN 13: 9786139935352
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ISBN 10: 6139935350 ISBN 13: 9786139935352
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Añadir al carritoPaperback. Condición: Brand New. 84 pages. 8.66x5.91x0.19 inches. In Stock.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139935350 ISBN 13: 9786139935352
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Añadir al carritoTaschenbuch. Condición: Neu. Big Data Security | Okba Kazar (u. a.) | Taschenbuch | 84 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139935352 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Okt 2018, 2018
ISBN 10: 6139935350 ISBN 13: 9786139935352
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Big Data attract a lot of researchers because of the techniques and approaches that it offers for treating huge volumes of information circulating on the Internet. The objective of this work is to study of the problem security in Big Data. We present some of the methods and techniques used in Big Data security which exist in reality, and based on the criteria that we find in those work we proposed an approach based on the multi-agent system (SMA) to protect the safety of the information in Big Data. In this approach we used seven agent, and they are divided as follows: four for external security independent from Hadoop, and three for internal security. Our approach treat the problems of integrity, authentication, privacy and access control, intrusion detection. To To give some significant results, we used conventional tools of information systems (MySql, NoSql.etc) as well as new tools for handling large volumes of data such as Hadoop, biservice-ce, and Pentaho etc. 84 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139935350 ISBN 13: 9786139935352
Librería: Majestic Books, Hounslow, Reino Unido
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139935350 ISBN 13: 9786139935352
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Publicado por LAP LAMBERT Academic Publishing, 2018
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kazar OkbaProf. Okba Kazar (1962 Biskra, Algeria)Director of the Smart computer science laboratory (LINFI). He got his PhD degree from Constantine university 2005, on computer sciences and artificial intelligence and its his main res.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Okt 2018, 2018
ISBN 10: 6139935350 ISBN 13: 9786139935352
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Big Data attract a lot of researchers because of the techniques and approaches that it offers for treating huge volumes of information circulating on the Internet. The objective of this work is to study of the problem security in Big Data. We present some of the methods and techniques used in Big Data security which exist in reality, and based on the criteria that we find in those work we proposed an approach based on the multi-agent system (SMA) to protect the safety of the information in Big Data. In this approach we used seven agent, and they are divided as follows: four for external security independent from Hadoop, and three for internal security. Our approach treat the problems of integrity, authentication, privacy and access control, intrusion detection. To To give some significant results, we used conventional tools of information systems (MySql, NoSql.etc) as well as new tools for handling large volumes of data such as Hadoop, biservice-ce, and Pentaho etc.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139935350 ISBN 13: 9786139935352
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 40,89
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Big Data attract a lot of researchers because of the techniques and approaches that it offers for treating huge volumes of information circulating on the Internet. The objective of this work is to study of the problem security in Big Data. We present some of the methods and techniques used in Big Data security which exist in reality, and based on the criteria that we find in those work we proposed an approach based on the multi-agent system (SMA) to protect the safety of the information in Big Data. In this approach we used seven agent, and they are divided as follows: four for external security independent from Hadoop, and three for internal security. Our approach treat the problems of integrity, authentication, privacy and access control, intrusion detection. To To give some significant results, we used conventional tools of information systems (MySql, NoSql.etc) as well as new tools for handling large volumes of data such as Hadoop, biservice-ce, and Pentaho etc.