Editore: LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206158896 ISBN 13: 9786206158899
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Editore: LAP LAMBERT Academic Publishing Apr 2023, 2023
ISBN 10: 6206158896 ISBN 13: 9786206158899
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 43,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -The Enhanced Intrusion Detection System utilizing a Hybrid Machine Learning Approach is a security system that leverages a combination of machine learning algorithms to detect and prevent unauthorized access to computer networks. The system analyzes network traffic patterns and monitors user behavior to identify potential threats. By using a hybrid machine learning approach, the system is designed to improve its ability to detect and prevent cyber attacks, ultimately enhancing network security.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch.
Editore: LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206158896 ISBN 13: 9786206158899
Lingua: Inglese
Da: preigu, Osnabrück, Germania
EUR 39,40
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Enhanced IDS using Hybrid Machine Learning Approach | Enhancing Network Security with Hybrid Machine Learning | Pavan Kumar Singhal (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206158899 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Editore: LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206158896 ISBN 13: 9786206158899
Lingua: Inglese
Da: Majestic Books, Hounslow, Regno Unito
EUR 59,89
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Editore: LAP LAMBERT Academic Publishing Apr 2023, 2023
ISBN 10: 6206158896 ISBN 13: 9786206158899
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 43,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The Enhanced Intrusion Detection System utilizing a Hybrid Machine Learning Approach is a security system that leverages a combination of machine learning algorithms to detect and prevent unauthorized access to computer networks. The system analyzes network traffic patterns and monitors user behavior to identify potential threats. By using a hybrid machine learning approach, the system is designed to improve its ability to detect and prevent cyber attacks, ultimately enhancing network security. 76 pp. Englisch.
Editore: LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206158896 ISBN 13: 9786206158899
Lingua: Inglese
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 60,58
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Editore: LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206158896 ISBN 13: 9786206158899
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 35,62
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Singhal Mr. Pavan KumarPavan K Singhal is working as an Assistant Professor in the dept. of CSE at Moradabad Institute of Technology,UP. He has an experience of more than 17 years.Chandra Prakash Bhargava is working as an Assistant P.
Editore: LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206158896 ISBN 13: 9786206158899
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 44,59
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Enhanced Intrusion Detection System utilizing a Hybrid Machine Learning Approach is a security system that leverages a combination of machine learning algorithms to detect and prevent unauthorized access to computer networks. The system analyzes network traffic patterns and monitors user behavior to identify potential threats. By using a hybrid machine learning approach, the system is designed to improve its ability to detect and prevent cyber attacks, ultimately enhancing network security.