TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
A Privacy-preserving and Energy-efficient Offloading Algorithm based on Lyapunov Optimization |
| 영문제목(English Title) |
A Privacy-preserving and Energy-efficient Offloading Algorithm based on Lyapunov Optimization |
| 저자(Author) |
Shuai Zhang
Cai Y. Pei
Wen Y. Liu
Lu Chen
Hongbo Tang
Yu Zhao
Wei You
Kai Wang
|
| 원문수록처(Citation) |
VOL 16 NO. 8 PP. 2490 ~ 2506 (2022. 8) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
In Mobile Edge Computing (MEC), attackers can speculate and mine sensitive user information by eavesdropping wireless channel status and offloading usage pattern, leading to user privacy leakage. To solve this problem, this paper proposes a Privacy-preserving and Energy-efficient Offloading Algorithm (PEOA) based on Lyapunov optimization. In this method, a continuous Markov process offloading model with a buffer queue strategy is built first. Then the amount of privacy of offloading usage pattern in wireless channel is defined. Finally, by introducing the Lyapunov optimization, the problem of minimum average energy consumption in continuous state transition process with privacy constraints in the infinite time domain is transformed into the minimum value problem of each timeslot, which reduces the complexity of algorithms and helps obtain the optimal solution while maintaining low energy consumption. The experimental results show that, compared with other methods, PEOA can maintain the amount of privacy accumulation in the system near zero, while sustaining low average energy consumption costs. This makes it difficult for attackers to infer sensitive user information through offloading usage patterns, thus effectively protecting user privacy and safety. |
| 키워드(Keyword) |
Real-time traffic data
Data flow model
Data model
deep learning
path topology
traffic flow
State discrimination algorithm
Mobile edge computing
Computing offloading
Usage pattern
Privacy protection
Lyapunov optimization
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