posted by user: MahdiCFP || 295 views || tracked by 1 users: [display]

Secure and Privacy 2022 : Secure and Privacy Issues in IoT Generated Big Data


When N/A
Where N/A
Submission Deadline Jul 21, 2022
Categories    IOT   secure and privacy   computer science

Call For Papers

The rapid development of the Internet of Things (IoT) and the ever-increasing number of mobile devices have led major industries, organizations, companies, hospitals, etc., worldwide to consider the IoT as the main direction and an efficient method for development. Despite the many benefits of IoT technology such as providing high-level services via generated Big Data by it, the robustness of its systems, applications, and devices against security and privacy threats remains a major concern as new threats are constantly emerging and intensifying. The IoT collects a lot of data that can reveal privacy-sensitive information, such as human users' daily habits, locations, or health situations. The IoT infrastructure is increasingly able to meet the emerging needs of users, but security and privacy challenges prevent applications from working correctly. Leakage of these data can lead to massive security and privacy violations due to improper handling. Thus, illegal access to a large amount of data could be a lucrative resource for hackers.

In light of these challenges, it is more important than ever to fully understand the security and privacy issues associated with IoT systems and applications and find solutions. This Research Topic aims to address the security and privacy challenges emerging from deploying IoT, emphasizing IoT frameworks, networking, infrastructures, and protocols. In addition, this article collection provides an up-to-date statement of the current research progress in IoT security, privacy challenges, and approaches for protecting users' data and the sustainability of IoT-based systems.

This article collection focuses on the following topics but is not limited to:
• Secure architectures for the generated big data by IoT devices
• Trust approaches for the generated big data by IoT devices
• Security diagnosis tools for generated big data by IoT devices
• Risk assessment in the generated big data by IoT devices
• Intrusion detection for the generated big data by IoT devices
• Privacy-enhancing techniques for the generated big data by IoT devices
• Encryption techniques for the generated big data by IoT devices
• Access control for the generated big data by IoT devices
• Standardization activities for IoT privacy/security
• Advanced cryptography methods and tools for generated big data by IoT
• Prevention systems and cyber-attacks detection for generated big data by IoT
• Security and trust-based solutions in edge, fog, cloud computing
• Blockchain, AI as a security/privacy approach in IoT

Related Resources

blockchain_ml_iot 2023   Network (MDPI) Special Issue - Blockchain and Machine Learning for IoT: Security and Privacy Challenges
IEEE COINS 2023   IEEE COINS 2023 - Berlin, Germany - July 23-25 - Hybrid (In-Person & Virtual)
IET-CPS-SI:IoT-based Secure Health 2023   Special issue on IoT-based Secure Health Monitoring and Tracking through Estimated Computing
EI-CFAIS 2023   2023 International Conference on Frontiers of Artificial Intelligence and Statistics (CFAIS 2023)
PCEIoT 2023   3rd Workshop on Privacy in the Cloud/Edge/IoT World 2023
AME 2023   9th International Conference on Advances in Mechanical Engineering
FiCloud 2023   The 10th International Conference on Future Internet of Things and Cloud
ACM-Ei/Scopus-CWCBD 2023   2023 4th International Conference on Wireless Communications and Big Data (CWCBD 2023) -EI Compendex
CEVVE 2023   2023 International Conference on Electric Vehicle and Vehicle Engineering (CEVVE 2023)
IEEE ICISPP 2023   IEEE--2023 4th International Conference on Information Security and Privacy Protection (ICISPP 2023)