Securing data and preserving privacy in cloud IoT-based technologies an analysis of assessing threats and developing effective safeguard

The Internet of Things (IoT) is a powerful technology adopted in various industries. Applications of the IoT aim to enhance automation, productivity, and user comfort in a cloud and distributive computing environment. Cloud computing automatically stores and analyzes the large amounts of data genera...

Full description

Saved in:
Bibliographic Details
Published in:The Artificial intelligence review 2024-08, Vol.57 (10), p.269
Main Authors: Pathak, Mayank, Mishra, Kamta Nath, Singh, Satya Prakash
Format: Article
Language:English
Subjects:
Artificial Intelligence
Blockchain
Cloud computing
Computer Science
Cybersecurity
Data analysis
Data recovery
Data transmission
Edge computing
End users
Internet of Things
Machine learning
Privacy
Threat evaluation
User requirements
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The Internet of Things (IoT) is a powerful technology adopted in various industries. Applications of the IoT aim to enhance automation, productivity, and user comfort in a cloud and distributive computing environment. Cloud computing automatically stores and analyzes the large amounts of data generated by IoT-based applications. Cloud computing has become a crucial component of the information age through easier data administration and storage. Currently, government agencies, commercial enterprises, and end users are rapidly migrating their data to cloud environments. This may require end-user authentication, greater safety, and data recovery in the event of an attack. A few issues were discovered by authors after analysis and assessments of various aspects of the published research papers. The research analysis reveals that the existing methods need to be further improved to address the contemporary dangers related to data security and privacy. Based on the research reports, it can be stated that safe end-to-end data transmission in a cloud-IoT environment requires modifications and advancements in the design of reliable protocols. Upcoming technologies like blockchain, machine learning, fog, and edge computing mitigate data over the cloud to some level. The study provides a thorough analysis of security threats including their categorization, and potential countermeasures to safeguard our cloud-IoT data. Additionally, the authors have summarized cutting-edge approaches like machine learning and blockchain technologies being used in the data security privacy areas. Further, this paper discusses the existing problems related to data privacy and security in the cloud-IoT environment in today’s world and their possible future directions.
ISSN:0269-2821
1573-7462
DOI:10.1007/s10462-024-10908-x