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Network Attack Detection in IoT using Artificial Intelligence: Protecting Your Connected World: AI-Powered Strategy for Detecting Network Attacks in IoT Devices - Couverture souple
Synopsis
We like to have simple and automated solutions but these simple and automated solutions in technology could also contains risks if not deal properly. IoT security and privacy concerns are needs to be focus. There can be multiple types of attack on IoT networks which can damage the device or steal the sensitive information. Therefore, artificial intelligence (AI) techniques has an ability to detect and classify an unknown network behavior by learning the network attacks patterns based on large volumes of historical data. we used Aposemat IoT-23 dataset, investigate the background and implement the machine learning algorithms such as Decision Tree, Random Forest and Naive Bayes. We also compared the accuracy among these machine learning algorithms on the IoT-23 dataset and showed the most efficient machine learning algorithm as per results by using Aposemat IoT-23 dataset, as well as showed feature engineering techniques to preprocess the mentioned dataset for detection and classification of IoT network attacks.
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Network Attack Detection in IoT using Artificial Intelligence
Edité par
LAP LAMBERT Academic Publishing Mrz 2023, 2023
ISBN 10 : 6206150011
ISBN 13 : 9786206150015
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -We like to have simple and automated solutions but these simple and automated solutions in technology could also contains risks if not deal properly. IoT security and privacy concerns are needs to be focus. There can be multiple types of attack on IoT networks which can damage the device or steal the sensitive information. Therefore, artificial intelligence (AI) techniques has an ability to detect and classify an unknown network behavior by learning the network attacks patterns based on large volumes of historical data. we used Aposemat IoT-23 dataset, investigate the background and implement the machine learning algorithms such as Decision Tree, Random Forest and Naive Bayes. We also compared the accuracy among these machine learning algorithms on the IoT-23 dataset and showed the most efficient machine learning algorithm as per results by using Aposemat IoT-23 dataset, as well as showed feature engineering techniques to preprocess the mentioned dataset for detection and classification of IoT network attacks. 52 pp. Englisch. N° de réf. du vendeur 9786206150015
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EUR 43,90
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Network Attack Detection in IoT using Artificial Intelligence : Protecting Your Connected World: AI-Powered Strategy for Detecting Network Attacks in IoT Devices
Edité par
LAP LAMBERT Academic Publishing, 2023
ISBN 10 : 6206150011
ISBN 13 : 9786206150015
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - We like to have simple and automated solutions but these simple and automated solutions in technology could also contains risks if not deal properly. IoT security and privacy concerns are needs to be focus. There can be multiple types of attack on IoT networks which can damage the device or steal the sensitive information. Therefore, artificial intelligence (AI) techniques has an ability to detect and classify an unknown network behavior by learning the network attacks patterns based on large volumes of historical data. we used Aposemat IoT-23 dataset, investigate the background and implement the machine learning algorithms such as Decision Tree, Random Forest and Naive Bayes. We also compared the accuracy among these machine learning algorithms on the IoT-23 dataset and showed the most efficient machine learning algorithm as per results by using Aposemat IoT-23 dataset, as well as showed feature engineering techniques to preprocess the mentioned dataset for detection and classification of IoT network attacks. N° de réf. du vendeur 9786206150015
Acheter neuf
EUR 46,83
Expédition à EUR 35
Expédition depuis Allemagne vers Etats-Unis
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Network Attack Detection in IoT using Artificial Intelligence
Edité par
LAP Lambert Academic Publishing, 2023
ISBN 10 : 6206150011
ISBN 13 : 9786206150015
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. We like to have simple and automated solutions but these simple and automated solutions in technology could also contains risks if not deal properly. IoT security and privacy concerns are needs to be focus. There can be multiple types of attack on IoT netwo. N° de réf. du vendeur 848922244
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Network Attack Detection in IoT using Artificial Intelligence
Edité par
LAP LAMBERT Academic Publishing Mär 2023, 2023
ISBN 10 : 6206150011
ISBN 13 : 9786206150015
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -We like to have simple and automated solutions but these simple and automated solutions in technology could also contains risks if not deal properly. IoT security and privacy concerns are needs to be focus. There can be multiple types of attack on IoT networks which can damage the device or steal the sensitive information. Therefore, artificial intelligence (AI) techniques has an ability to detect and classify an unknown network behavior by learning the network attacks patterns based on large volumes of historical data. we used Aposemat IoT-23 dataset, investigate the background and implement the machine learning algorithms such as Decision Tree, Random Forest and Naive Bayes. We also compared the accuracy among these machine learning algorithms on the IoT-23 dataset and showed the most efficient machine learning algorithm as per results by using Aposemat IoT-23 dataset, as well as showed feature engineering techniques to preprocess the mentioned dataset for detection and classification of IoT network attacks.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. N° de réf. du vendeur 9786206150015
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Network Attack Detection in IoT using Artificial Intelligence | Protecting Your Connected World: AI-Powered Strategy for Detecting Network Attacks in IoT Devices
Edité par
LAP LAMBERT Academic Publishing, 2023
ISBN 10 : 6206150011
ISBN 13 : 9786206150015
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Network Attack Detection in IoT using Artificial Intelligence | Protecting Your Connected World: AI-Powered Strategy for Detecting Network Attacks in IoT Devices | Muhammad Jahanzaib Gul (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206150015 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. N° de réf. du vendeur 126775100
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EUR 39,45
Expédition à EUR 70
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Expédition depuis Allemagne vers Etats-Unis
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