Emerging technologies for securing the cloud and IoT /
| Corporate Author: | |
|---|---|
| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
Information Science Reference (an imprint of IGI Global),
[2024]
|
| Series: | Advances in information security, privacy, and ethics (AISPE) book series.
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Chapter 1. Smart applications based on IoT: challenges and emerging trends landscape
- Chapter 2. A review of artificial intelligence techniques for improved cloud and IoT security
- Chapter 3. Deep learning for IoT security: applications and challenges
- Chapter 4. Recent developments of semantic web: technologies and challenges
- Chapter 5. Development of artificial intelligence of things and cloud computing environments through semantic web control models
- Chapter 6. Privacy-preserving machine learning techniques for IoT data in cloud environments
- Chapter 7. Chatgpt and ensemble learning for mobile text misinformation identification
- Chapter 8. Analyzing the efficacy of machine learning algorithms on intrusion detection systems
- Chapter 9. Secure communication protocols for cloud and IoT: a comprehensive review
- Chapter 10. Landscape of serverless computing technology and IoT tools in the IT sectors
- Chapter 11. Enhancing cloud and IoT security: leveraging IoT technology for multi-factor user authentication
- Chapter 12. SISA en-decryption algorithm for multilingual data privacy and security in IoT.