Network Attack Detection in IoT using Artificial Intelligence

Language: English

Published by LAP LAMBERT Academic Publishing Mär 2023, 2023

6206150011 / 9786206150015

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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.…

Seller Inventory # 9786206150015

Title
Network Attack Detection in IoT using Artificial Intelligence
Author
Muhammad Jahanzaib Gul
Publisher
LAP LAMBERT Academic Publishing Mär 2023
Publication year
2023
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6206150011
ISBN 13
9786206150015
Item weight
96 grams
Dimensions
220x150x4 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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AbeBooks seller since January 23, 2017

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