IoT security paradigms and applications : research and practices / edited by Sudhir Kumar Sharma, Bharat Bhushan and Narayan C. Debnath.

Format:

Book

Contributor:

Sharma, Sudhir Kumar, editor.

Bhushan, Bharat (Software specialist), editor.

Debnath, N. C. (Narayan C.), editor.

Series:

Computational intelligence in engineering problem solving

Language:

English

Subjects (All):

Internet of things.

Physical Description:

1 online resource (xiii, 337 pages) : illustrations.

Edition:

First edition.

Place of Publication:

Boca Raton : CRC Press, 2021.

Summary:

"Integration of IoT (Internet of Things) with Big data and cloud computing has brought forward numerous advantages and challenges such as data analytics, integration and storage. Present book highlights these challenges and provide an integrating framework for these technologies illustrating role of blockchain in all the possible facets of IoT security. Further, it investigates the security and privacy issues associated with various IoT systems along with exploring various machine learning based IoT security solutions. It brings together state-of-the-art innovations, research activities (both in academia and industry), and the corresponding standardization impacts of 5G as well"-- Provided by publisher.

Contents:

Chapter 1 The Convergence of IoT with Big Data and Cloud Computing Chapter 2 Cybersecurity Management within the Internet of Things Chapter 3 ROSET: Routing on SENSEnuts Testbeds in IoT Network Chapter 4 Machine Learning: Approach towards Security Chapter 5 Privacy Preservation with Machine Learning Chapter 6 Machine Learning-Based Internet-of-Things Security Schemes Chapter 7 Intrusion Detection of SCADA System Using Machine Learning Techniques: A Study Chapter 8 Person Authentication Based on Biometric Traits Using Machine Learning Techniques Chapter 9 Data Security and Privacy through Text Steganography Approaches Chapter 10 IoT as a Means of Strengthening Individual Farmers' Position in Collaboration for Transformation to Sustainable Farming Chapter 11 Security in IoT HealthCare Chapter 12 Emerging Wireless Technologies Based on IoT in Healthcare Systems in Poland Chapter 13 Biometric Monitoring in Healthcare IoT Systems Using Deep Learning Chapter 14 Predictive Analysis of Type 2 Diabetes Using Hybrid ML Model and IoT Chapter 15 Securing Honey Supply Chain through Blockchain: An Implementation View

Notes:

Includes index.

Description based on print version record.

ISBN:

1-00-305411-0

1-003-05411-0

1-000-17224-4

1-000-17228-7

9781003054115

OCLC:

1153339918