Guest Editors
Prof. Dr. Bhanu Shrestha
Email: bnu@kw.ac.kr
Affiliation: Department of Computer Convergence System, Graduate School of Smart Convergne, Kwangwoon University, Seoul, 01897, South Korea
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Research Interests: deep learning; neural network; AI security, ICT convergence, wireless communication etc.
Prof. Dr. Sang-Hyun Lee
Email: leesang64@honam.ac.kr
Affiliation: Department of Computer Engineering, Honam University, Gwangju, 62399, South Korea
Homepage:
Research Interests: AI and Security, machine learning, deep learning, neural network, data-network and security etc.
Summary
In the era of Big Data and the Industrial Internet, managing privacy and security is a paramount concern. With the increasing integration of Information and Communication Technologies (ICT) and the Internet of Things (IoT), visual data, often a critical component in fields such as smart manufacturing, healthcare, and industrial monitoring, requires enhanced protection from cyber threats. The importance of this research lies in addressing vulnerabilities in data transmission and storage, particularly for image data, while enabling efficient Big Data management.
The goal is to develop AI-driven image encryption techniques using advanced deep learning and machine learning frameworks. Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) play crucial roles in creating secure and adaptive encryption mechanisms. CNNs are utilized for feature recognition and pattern encoding, while RNNs enhance real-time image encryption and secure sequencing. These AI-powered methods not only safeguard sensitive visual data but also align with the demands of Big Data handling and industrial applications.
Key themes include:
1. AI in securing Big Data pipelines.
2. Data encryption in communication network
3. Integration of encryption in industrial IoT (IIoT) systems.
4. Cybersecurity advancements in visual data protection.
5. Role of deep learning (CNN/RNN) in real-time image encryption
6. Challenges in safeguarding Industrial Internet systems.
7. Data encryption and decryption
8. Cybersecurity
9. Big data management
Keywords
AI; image encryption; data management; CNN/RNN; industrial IoT; cyber security; industrial IoT
Published Papers
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