Multi-Slot Secure Offloading and Resource Management in VEC Networks: A Deep Reinforcement Learning-Based Method
Vehicular Edge Computing (VEC) networks have emerged as an efficient paradigm to support a range of computation-intensive applications. However, potential eavesdropping attacks pose significant threats to massive confidential information. Furthermore, the rapid growth of Intelligent Connected Vehicl...
Saved in:
Main Authors: | Zhen Li, Jialong Gong, Xiong Xiong, Dong Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10819378/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Recursive deep reinforcement learning-based collaborative caching relay algorithm in mobile vehicular edge network
by: WU Honghai, et al.
Published: (2024-11-01) -
A new offloading paradigm:vehicular edge task offloading based on parked vehicles relay
by: Peiyang DONG, et al.
Published: (2019-03-01) -
V2X offloading and resource allocation under SDN and MEC architecture
by: Haibo ZHANG, et al.
Published: (2020-01-01) -
Task offloading optimization in mobile edge computing based on a deep reinforcement learning algorithm using density clustering and ensemble learning
by: Yi Qin, et al.
Published: (2025-01-01) -
Maritime mobile edge computing offloading method based on deep reinforcement learning
by: Xin SU, et al.
Published: (2022-10-01)