An adaptive privacy protection framework for user energy data using dictionary learning and watermarking techniques
H Chen, W Guo, K Sun, X Wang, S Wang, L Guo - Applied Energy, 2024 - Elsevier
With the rise of user energy consumption data as a significant data asset, data privacy has
emerged as a critical concern. To address users' diverse attitudes towards data sharing and …
emerged as a critical concern. To address users' diverse attitudes towards data sharing and …
Analysis of the Cybersecurity and Privacy Protection of Blockchain-Empowered Internet of Energy (IoE)
A Meydani, H Shahinzadeh… - … on Smart Cities …, 2024 - ieeexplore.ieee.org
Blockchain (BC) is a decentralized and unalterable form of distributed ledger that possesses
the ability to store data autonomously, without the need for intermediaries. The adoption of …
the ability to store data autonomously, without the need for intermediaries. The adoption of …
Building Reliable IoT Ecosystems: A Generative AI-Enabled Federated Learning-Based Trust Management Approach
In the rapidly evolving domain of the Internet of Vehicles (IoV), ensuring robust trust
management, privacy, and security presents significant challenges. This paper proposes a …
management, privacy, and security presents significant challenges. This paper proposes a …
Peer-to-Peer Energy Trading with Privacy and Fair Exchange
In recent years, blockchain has been employed to realize decentralization and meanwhile
provide transparency, immutability, and auditability for peer-to-peer (P2P) energy trading …
provide transparency, immutability, and auditability for peer-to-peer (P2P) energy trading …
[HTML][HTML] A Blockchain and Zero Knowledge Proof Based Data Security Transaction Method in Distributed Computing
B Zhang, H Pan, K Li, Y Xing, J Wang, D Fan, W Zhang - Electronics, 2024 - mdpi.com
In distributed computing, data trading mechanisms are essential for ensuring the sharing of
data across multiple computing nodes. Nevertheless, they currently encounter considerable …
data across multiple computing nodes. Nevertheless, they currently encounter considerable …
[HTML][HTML] Privacy-Preserving Electric Vehicle Charging Recommendation by Incorporating Full Homomorphic Encryption and Secure Multi-Party Computing
Y Liu, J Ju, Z Li - World Electric Vehicle Journal, 2024 - mdpi.com
Electric vehicle (EV) charging recommendation can significantly improve global planning
performance, corresponding to an increasing risk of privacy leakage. Based on this, this …
performance, corresponding to an increasing risk of privacy leakage. Based on this, this …