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Intelligent security management and control in the IoT

By: Chalouf, Mohamed-Aymen [Author]Material type: TextTextLanguage: English Publication details: New Jersey: Wiley Data and Cybersecurity, 2022. Description: xi, 297pISBN: 9781394156016Subject(s): Multicriteria Selection of Transmission Parameters in the IoT | Using Reinforcement Learning to Manage Massive Access in NB‐IoT Networks | Optimizing Performances in the IoTDDC classification: 004 Online resources: Click here to access online
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The Internet of Things (IoT) has contributed greatly to the growth of data traffic on the Internet. Access technologies and object constraints associated with the IoT can cause performance and security problems. This relates to important challenges such as the control of radio communications and network access, the management of service quality and energy consumption, and the implementation of security mechanisms dedicated to the IoT.

In response to these issues, this book presents new solutions for the management and control of performance and security in the IoT. The originality of these proposals lies mainly in the use of intelligent techniques. This notion of intelligence allows, among other things, the support of object heterogeneity and limited capacities as well as the vast dynamics characterizing the IoT.


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