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Enhanced Ids Using Hybrid by Singhal Pavan (8 results)
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Enhanced IDS using Hybrid Machine Learning Approach
Published by LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206158896 ISBN 13: 9786206158899
Language: English
Condition: New.
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Enhanced IDS using Hybrid Machine Learning Approach
Published by LAP LAMBERT Academic Publishing Apr 2023, 2023
ISBN 10: 6206158896 ISBN 13: 9786206158899
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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.
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Enhanced IDS using Hybrid Machine Learning Approach | Enhancing Network Security with Hybrid Machine Learning
Published by LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206158896 ISBN 13: 9786206158899
Language: English
Taschenbuch. Condition: 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.
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Enhanced IDS using Hybrid Machine Learning Approach
Published by LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206158896 ISBN 13: 9786206158899
Language: English
Condition: New. Print on Demand.
-
Enhanced IDS using Hybrid Machine Learning Approach
Published by LAP LAMBERT Academic Publishing Apr 2023, 2023
ISBN 10: 6206158896 ISBN 13: 9786206158899
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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.
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Enhanced IDS using Hybrid Machine Learning Approach
Published by LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206158896 ISBN 13: 9786206158899
Language: English
Condition: New. PRINT ON DEMAND.
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Enhanced IDS using Hybrid Machine Learning Approach
Published by LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206158896 ISBN 13: 9786206158899
Language: English
Condition: 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.
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Enhanced IDS using Hybrid Machine Learning Approach : Enhancing Network Security with Hybrid Machine Learning
Published by LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206158896 ISBN 13: 9786206158899
Language: English
Taschenbuch. Condition: 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.
