Advancements in IoT Sensors and Security : Harnessing AI/ML for Secured IoT Sensor Data / edited by Biswajeet Pradhan, Shilpa Gite, Subhas Mukhopadhyay.

Format:

Book

Author/Creator:

Pradhan, Biswajeet.

Series:

Smart Sensors, Measurement and Instrumentation, 2194-8410 ; 52

Language:

English

Subjects (All):

Engineering--Data processing.

Engineering.

Internet of things.

Machine learning.

Materials.

Detectors.

Data Engineering.

Internet of Things.

Machine Learning.

Sensors and biosensors.

Local Subjects:

Data Engineering.

Internet of Things.

Machine Learning.

Sensors and biosensors.

Physical Description:

1 online resource (802 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2026.

Summary:

This book uncovers and presents insights into the intersecting realms of IoT sensors and AI/ML technologies, providing a unique opportunity for researchers and developers to contribute to progress in these fields. By exploring methods, applications, and similar aspects, it sheds light on how these technologies will continue to shape and impact our lives.

Contents:

Foundations of IoT, Security, and AI/ML Integration

A Study of Security in IoT Enabled Wireless Sensor Systems: Its Features, Architectures, Communications and Application Perspectives

Strategic Approaches to Efficient Data Aggregation and Malicious Node Detection in IoT-Enabled Healthcare Systems

Implications of Generative AI on IoT Security: A Dual Perspective

INDOOR LOCALIZATION AND HEADING ESTIMATION LEVERAGING MACHINE LEARNING ALGORITHMS WITH WI-FI FINGERPRINTS AND SENSOR DATA

Using Machine Learning for Mutual Coupling Compensation in Strongly Coupled Arrays.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-032-05507-5

9783032055071

OCLC:

1569120538