Multimedia security and privacy protection in the internet of things: research developments and challenges

Article

Yang, Wencheng, Wang, Song, Hu, Jiankun and Karie, Nickson M.. 2022. "Multimedia security and privacy protection in the internet of things: research developments and challenges." International Journal of Multimedia Intelligence and Security. 4 (1), pp. 20-46. https://doi.org/10.1504/ijmis.2022.121282
Article Title

Multimedia security and privacy protection in the internet of things: research developments and challenges

ERA Journal ID123787
Article CategoryArticle
AuthorsYang, Wencheng (Author), Wang, Song (Author), Hu, Jiankun (Author) and Karie, Nickson M. (Author)
Journal TitleInternational Journal of Multimedia Intelligence and Security
Journal Citation4 (1), pp. 20-46
Number of Pages27
Year2022
Place of PublicationSwitzerland
ISSN2042-3462
2042-3470
Digital Object Identifier (DOI)https://doi.org/10.1504/ijmis.2022.121282
Web Address (URL)https://www.inderscience.com/info/inarticle.php?artid=121282
Abstract

With the rapid growth of the internet of things (IoT), huge amounts of multimedia data are being generated from and/or exchanged through various IoT devices, systems and applications. The security and privacy of multimedia data have, however, emerged as key challenges that have the potential to impact the successful deployment of IoT devices in some data-sensitive applications. In this paper, we conduct a comprehensive survey on multimedia data security and privacy protection in the IoT. First, we classify multimedia data into different types and security levels according to application areas. Then, we analyse and discuss the existing multimedia data protection schemes in the IoT, including traditional techniques (e.g., cryptography and watermarking) and emerging technologies (e.g., blockchain and federated learning). Based on the detailed analysis on the research development of IoT-related multimedia security and privacy protection, we point out some open challenges and provide future research directions, aiming to advance the study in the relevant fields and assist researchers in gaining a deeper understanding of the state of the art on multimedia data protection in the IoT.

Keywordssecurity and privacy; internet of things; IoT; multimedia; federated learning; encryption; watermarking; blockchain
ANZSRC Field of Research 2020460403. Data security and protection
Byline AffiliationsEdith Cowan University
La Trobe University
University of New South Wales
Institution of OriginUniversity of Southern Queensland
Permalink -

https://research.usq.edu.au/item/q7v4x/multimedia-security-and-privacy-protection-in-the-internet-of-things-research-developments-and-challenges

Log in to edit

Download files

Published Version
Multimedia security and privacy protection in the internet of thi.pdf
License: CC BY 4.0
File access level: Anyone

  • 72
    total views
  • 51
    total downloads
  • 2
    views this month
  • 3
    downloads this month

Export as

Related outputs

Generous teacher: Good at distilling knowledge for student learning
Ding, Yifeng, Yang, Gaoming, Yin, Shuting, Zhang, Ji, Fang, Xianjin and Yang, Wencheng. 2024. "Generous teacher: Good at distilling knowledge for student learning." Image and Vision Computing. 150. https://doi.org/10.1016/j.imavis.2024.105199
Advancing face detection efficiency: Utilizing classification networks for lowering false positive incidences
Zhang, Jianlin, Hou, Chen, Yang, Xu, Yang, Xuechao, Yang, Wencheng and Cui, Hui. 2024. "Advancing face detection efficiency: Utilizing classification networks for lowering false positive incidences." Array. 22. https://doi.org/10.1016/j.array.2024.100347
Lightweight federated learning for STIs/HIV prediction
Nguyen, Thi Phuoc Van, Yang, Wencheng, Tang, Zhaohui, Xia, Xiaoyu, Mullens, Amy B., Dean, Judith A. and Li, Yan. 2024. "Lightweight federated learning for STIs/HIV prediction." Scientific Reports. 14 (1). https://doi.org/10.1038/s41598-024-56115-0
UAV Control Method Combining Reptile Meta-Reinforcement Learning and Generative Adversarial Imitation Learning
Jiang, Shui, Ge, Yanning, Yang, Xu, Yang, Wencheng and Cui, Hui. 2024. "UAV Control Method Combining Reptile Meta-Reinforcement Learning and Generative Adversarial Imitation Learning." Future Internet. 16 (3). https://doi.org/10.3390/fi16030105
Evaluating Cryptocurrency Market Risk on the Blockchain: An Empirical Study Using the ARMA-GARCH-VaR Model
Huang, Yongrong, Wang, Huiqing, Chen, Zhide, Feng, Chen, Zhu, Kexin, Yang, Xu and Yang, Wencheng. 2024. "Evaluating Cryptocurrency Market Risk on the Blockchain: An Empirical Study Using the ARMA-GARCH-VaR Model." IEEE Open Journal of the Computer Society. 5, pp. 83-94. https://doi.org/10.1109/OJCS.2024.3370603
Feature extraction and learning approaches for cancellable biometrics: A survey
Yang, Wencheng, Wang, Song, Hu, Jiankun, Tao, Xiaohui and Li, Yan. 2024. "Feature extraction and learning approaches for cancellable biometrics: A survey." CAAI Transactions on Intelligence Technology. 9 (1), pp. 4-25. https://doi.org/10.1049/cit2.12283
An Adaptive Feature Fusion Network for Alzheimer’s Disease Prediction
Wei, Shicheng, Li, Yan and Yang, Wencheng. 2023. "An Adaptive Feature Fusion Network for Alzheimer’s Disease Prediction." 12th International Conference on Health Information Science (HIS 2023). Melbourne, Australia 23 - 24 Oct 2023 Germany. https://doi.org/10.1007/978-981-99-7108-4
A Review of Homomorphic Encryption for Privacy-Preserving Biometrics
Yang, Wencheng, Wang, Song, Cui, Hui, Tang, Zhaohui and Li, Yan. 2023. "A Review of Homomorphic Encryption for Privacy-Preserving Biometrics." Sensors. 23 (7). https://doi.org/10.3390/s23073566
Hybrid KD-NFT: A multi-layered NFT assisted robust Knowledge Distillation framework for Internet of Things
Wang, Nai, Chen, Junjun, Wu, Di, Yang, Wencheng, Xiang, Yong and Sajjanhar, Atul. 2023. "Hybrid KD-NFT: A multi-layered NFT assisted robust Knowledge Distillation framework for Internet of Things." Journal of Information Security and Applications. 75. https://doi.org/10.1016/j.jisa.2023.103483
A review of multi-factor authentication in the Internet of Healthcare Things
Suleski, Tance, Ahmed, Mohiuddin, Yang, Wencheng and Wang, Eugene. 2023. "A review of multi-factor authentication in the Internet of Healthcare Things." Digital Health. 9, pp. 1-20. https://doi.org/10.1177/20552076231177144
Token-Based Biometric Enhanced Key Derivation for Authentication Over Wireless Networks
Cui, Hui, Yang, Xuechao, Yang, Wencheng, Qin, Baodong and Yi, Xun. 2023. "Token-Based Biometric Enhanced Key Derivation for Authentication Over Wireless Networks." IEEE Transactions on Network Science and Engineering. 10 (4), pp. 2347-2357. https://doi.org/10.1109/TNSE.2023.3246439
A Secure Online Fingerprint Authentication System for Industrial IoT Devices over 5G Networks
Bedari, Aseel, Wang, Song and Yang, Wencheng. 2022. "A Secure Online Fingerprint Authentication System for Industrial IoT Devices over 5G Networks." Sensors. 22 (19), pp. 1-16. https://doi.org/10.3390/s22197609
A linear convolution-based cancelable fingerprint biometric authentication system
Yang, Wencheng, Wang, Song, Kang, James Jin, Johnstone, Michael N. and Bedari, Aseel. 2022. "A linear convolution-based cancelable fingerprint biometric authentication system." Computers and Security. 114, pp. 1-14. https://doi.org/10.1016/j.cose.2021.102583
A Review on Security Issues and Solutions of the Internet of Drones
Yang, Wencheng, Wang, Song, Yin, Xuefei, Wang, Xu and Hu, Jiankun. 2022. "A Review on Security Issues and Solutions of the Internet of Drones." IEEE Open Journal of the Computer Society. 3, pp. 96-110. https://doi.org/10.1109/OJCS.2022.3183003
Network Forensics in the Era of Artificial Intelligence
Yang, Wencheng, Johnstone, Michael N., Wang, Song, Karie, Nickson M., Bin Sahri, Nor Masri and Kang, James Jin. 2022. "Network Forensics in the Era of Artificial Intelligence." Ahmed, Mohiuddin, Islam, Sheikh Rabiul, Anwar, Adnan, Moustafa, Nour and Pathan, Al-Sakib Khan (ed.) Explainable Artificial Intelligence for Cyber Security: Next Generation Artificial Intelligence. Cham, Switzerland. Springer. pp. 171-190
Leveraging Artificial Intelligence Capabilities for Real-Time Monitoring of Cybersecurity Threats
Karie, Nickson M., Bin Sahri, Nor Masri Bin, Yang, Wencheng and Johnstone, Michael N.. 2022. "Leveraging Artificial Intelligence Capabilities for Real-Time Monitoring of Cybersecurity Threats." Ahmed, Mohiuddin, Islam, Sheikh Rabiul, Anwar, Adnan, Moustafa, Nour and Pathan, Al-Sakib Khan (ed.) Explainable Artificial Intelligence for Cyber Security: Next Generation Artificial Intelligence. Cham, Switzerland. Springer. pp. 141-169
Biometrics for internet‐of‐things security: A review
Yang, Wencheng, Wang, Song, Sahri, Nor Masri, Karie, Nickson M., Ahmed, Mohiuddin and Valli, Craig. 2021. "Biometrics for internet‐of‐things security: A review." Sensors. 21 (18). https://doi.org/10.3390/s21186163
Security and Forensics in the Internet of Things: Research Advances and Challenges
Yang, Wencheng, Johnstone, Michael N., Sikos, Leslie F. and Wang, Song. 2020. "Security and Forensics in the Internet of Things: Research Advances and Challenges." 2020 Workshop on Emerging Technologies for Security in IoT (ETSecIoT). Sydney, Australia 21 - 21 Apr 2020 Australia. IEEE (Institute of Electrical and Electronics Engineers). pp. 12-17 https://doi.org/10.1109/ETSecIoT50046.2020.00007
A novel statistical technique for intrusion detection systems
Kabir, Enamul, Hu, Jiankun, Wang, Hua and Zhou, Guangping. 2018. "A novel statistical technique for intrusion detection systems." Future Generation Computer Systems: the international journal of grid computing: theory, methods and applications. 79, pp. 303-318. https://doi.org/10.1016/j.future.2017.01.029
A Critical Analysis of ECG-Based Key Distribution for Securing Wearable and Implantable Medical Devices
Zheng, Guanglou, Shankaran, Rajan, Yang Wencheng, Valli, Craig, Qiao, Li, Orgun, Mehmet A. and Mukhopadhyay, Subhas Chandra. 2019. "A Critical Analysis of ECG-Based Key Distribution for Securing Wearable and Implantable Medical Devices." IEEE Sensors Journal. 19 (3), pp. 1186-1198. https://doi.org/10.1109/JSEN.2018.2879929
A statistical framework for intrusion detection system
Kabir, Md Enamul and Hu, Jiankun. 2014. "A statistical framework for intrusion detection system." Zhang, Defu (ed.) 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014). Xiamen, China 19 - 21 Aug 2014 Piscataway, NJ. United States. https://doi.org/10.1109/FSKD.2014.6980966