poster

Tradeoff between energy savings and privacy protection in computation offloading

Authors:

Yung-Hsiang LuAuthors Info & Claims

ISLPED '10: Proceedings of the 16th ACM/IEEE international symposium on Low power electronics and design

Pages 213 - 218

https://doi.org/10.1145/1840845.1840887

Published: 18 August 2010 Publication History

Abstract

Offloading can save energy on mobile systems for computation-intensive applications. The mobile systems send programs and data to grid-powered servers where computation is performed. Offloading, however, causes privacy concerns because sensitive data may be sent to servers. This paper investigates how to protect privacy in computation offloading. We use steganography to hide data before sending them to servers. This paper evaluates the tradeoff between energy savings and privacy protection for content-based image retrieval with different steganographic techniques. We implement these methods on a PDA and compare their energy consumption, performance, and effectiveness of protecting privacy.

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Cited By

Zhang GZhao PZhang AZhang GZhao PZhang A(2024)Deep Reinforcement Learning-Based Joint Optimization of Delay and Privacy in Multiple-User MEC SystemsPrivacy Preservation in Distributed Systems10.1007/978-3-031-58013-0_8(187-216)Online publication date: 31-May-2024
https://doi.org/10.1007/978-3-031-58013-0_8
Zhang GZhao PZhang AZhang GZhao PZhang A(2024)Learning-Based Joint Optimization of Energy-Delay and Privacy in Multiple-User Edge-Cloud Collaboration MEC SystemsPrivacy Preservation in Distributed Systems10.1007/978-3-031-58013-0_10(231-254)Online publication date: 8-Apr-2024
https://doi.org/10.1007/978-3-031-58013-0_10
Zhao PTao JLui KZhang GGao F(2023)Deep Reinforcement Learning-Based Joint Optimization of Delay and Privacy in Multiple-User MEC SystemsIEEE Transactions on Cloud Computing10.1109/TCC.2022.314023111:2(1487-1499)Online publication date: 1-Apr-2023
https://doi.org/10.1109/TCC.2022.3140231
Show More Cited By

Index Terms

Tradeoff between energy savings and privacy protection in computation offloading
1. General and reference
  1. Cross-computing tools and techniques
    1. Design
2. Information systems
  1. Information retrieval

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Published In

cover image ACM Conferences

ISLPED '10: Proceedings of the 16th ACM/IEEE international symposium on Low power electronics and design

August 2010

458 pages

ISBN:9781450301466

DOI:10.1145/1840845

General Chairs:
Vojin Oklobdzija
University of Texas, Dallas
,
Barry Pangle
Mentor Graphics
,
Naehyuck Chang
Seoul National University
,
Program Chairs:
Naresh Shanbhag
University of Illinois at Urbana-Champaign
,
Chris H. Kim
University of Minnesota

Copyright © 2010 ACM.

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SIGDA: ACM Special Interest Group on Design Automation

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 August 2010

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ISLPED'10

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SIGDA

ISLPED'10: International Symposium on Low Power Electronics and Design

August 18 - 20, 2010

Texas, Austin, USA

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Overall Acceptance Rate 398 of 1,159 submissions, 34%

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ISLPED '24

Sponsor:
sigda

ACM/IEEE International Symposium on Low Power Electronics and Design

August 5 - 7, 2024

Newport Beach , CA , USA

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Cited By

Zhang GZhao PZhang AZhang GZhao PZhang A(2024)Deep Reinforcement Learning-Based Joint Optimization of Delay and Privacy in Multiple-User MEC SystemsPrivacy Preservation in Distributed Systems10.1007/978-3-031-58013-0_8(187-216)Online publication date: 31-May-2024
https://doi.org/10.1007/978-3-031-58013-0_8
Zhang GZhao PZhang AZhang GZhao PZhang A(2024)Learning-Based Joint Optimization of Energy-Delay and Privacy in Multiple-User Edge-Cloud Collaboration MEC SystemsPrivacy Preservation in Distributed Systems10.1007/978-3-031-58013-0_10(231-254)Online publication date: 8-Apr-2024
https://doi.org/10.1007/978-3-031-58013-0_10
Zhao PTao JLui KZhang GGao F(2023)Deep Reinforcement Learning-Based Joint Optimization of Delay and Privacy in Multiple-User MEC SystemsIEEE Transactions on Cloud Computing10.1109/TCC.2022.314023111:2(1487-1499)Online publication date: 1-Apr-2023
https://doi.org/10.1109/TCC.2022.3140231
Xiao LYang HZhuang WMin MXiao LYang HZhuang WMin M(2023)Learning-Based Privacy-Aware Maritime IoT CommunicationsReinforcement Learning for Maritime Communications10.1007/978-3-031-32138-2_3(53-78)Online publication date: 13-Apr-2023
https://doi.org/10.1007/978-3-031-32138-2_3
Chen HQin WWang L(2022)Task partitioning and offloading in IoT cloud-edge collaborative computing framework: a surveyJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-022-00365-811:1Online publication date: 3-Dec-2022
https://dl.acm.org/doi/10.1186/s13677-022-00365-8
Qin ZYao HMai TWu DZhang NGuo S(2022)Multi-Agent Reinforcement Learning Aided Computation Offloading in Aerial Computing for the Internet-of-ThingsIEEE Transactions on Services Computing10.1109/TSC.2022.3190562(1-12)Online publication date: 2022
https://doi.org/10.1109/TSC.2022.3190562
Zhang GNi SZhao P(2022)Learning-Based Joint Optimization of Energy Delay and Privacy in Multiple-User Edge-Cloud Collaboration MEC SystemsIEEE Internet of Things Journal10.1109/JIOT.2021.30886079:2(1491-1502)Online publication date: 15-Jan-2022
https://doi.org/10.1109/JIOT.2021.3088607
Li THe XJiang SLiu J(2022)A survey of privacy-preserving offloading methods in mobile-edge computingJournal of Network and Computer Applications10.1016/j.jnca.2022.103395203:COnline publication date: 1-Jul-2022
https://dl.acm.org/doi/10.1016/j.jnca.2022.103395
Ke HWang HZhao HSun W(2021)Deep reinforcement learning-based computation offloading and resource allocation in security-aware mobile edge computingWireless Networks10.1007/s11276-021-02643-wOnline publication date: 17-May-2021
https://doi.org/10.1007/s11276-021-02643-w
Li YZeng DGu LZhu AChen Q(2020)Task Offloading in Trusted Execution Environment empowered Edge Computing2020 IEEE 26th International Conference on Parallel and Distributed Systems (ICPADS)10.1109/ICPADS51040.2020.00050(316-323)Online publication date: Dec-2020
https://doi.org/10.1109/ICPADS51040.2020.00050
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