arrow
返回

Toward Secure and Efficient Collaborative Cached Data Auditing for Distributed Fog Computing

delete2023-12-01
delete3
PRE
AI
Y
Yifang Zhang
王
王胜灵 (Shengling Wang) *
X
Xidi Qu
李
李春晓 (Chunxiao Li)
E
Enliang Xu
DOI:10.1109/JIOT.2023.3284345delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
Fog computing is one of the promising models for mobile edge computing, and greatly reduces the latency of applications by establishing a distributed fog caching system on IoT devices. However, with the popularity and application of fog computing, there are growing concerns about the integrity and security of cached data. Different from centralized cloud servers, fog nodes are distributed and have limited computing and communication capabilities. Therefore, the direct adoptions of the existing centralized data integrity assurance schemes would incur significant communication overheads and cannot meet the real-time requirements of the fog-based applications. In this article, we propose an efficient and secure collaborative cached data auditing scheme for distributed fog computing. The proposed scheme, named FogAudit, enables untrusted fog nodes to collaboratively provide caching services while protecting the integrity and security of cached data. Our design can efficiently support fog nodes to collaborate with each other to identify malicious nodes and realize data recovery without relying on a centralized authority. Besides, we devise ESV, a tailored auditing protocol based on distributed consensus mechanism to handle disputes in the process of collaborative auditing. We provide a formal security analysis and experimentally evaluate its performance against three representative auditing schemes. Our security analysis and experimental evaluation results confirm that FogAudit is efficient and secure.
Keyword:
Collaborative data auditing
distributed consensus mechanism
fog computing
integrity verification

期刊

IEEE Internet of Things Journal 封面图
IEEE Internet of Things Journal
IF:
8.9
论文数:
1.4W
被引数:
7.8W

机构

B
Beijing Normal University
学者数:
3.3W
论文数: 2.7W
被引数: 4.2W
引用论文

引用论文

A previously undescribed scene-selective site is the key to encoding ego-motion in naturalistic environments
err2024-03-20
err0
errOAAI
errBryan Kennedy; Sarala N Malladi; Roger BH Tootell; Shahin Nasr
err分享
err收藏
Toward Secure and Dependable Storage Services in Cloud Computing
err2012-04-01
err317
errOAAI
errWang, Cong; Wang, Qian; Ren, Kui; Cao, Ning; Lou, Wenjing
err分享
err收藏
Auditing Cache Data Integrity in the Edge Computing Environment
err2021-05-01
err97
PREAI
errLi, Bo; He, Qiang; Chen, Feifei; Jin, Hai; Xiang, Yang; Yang, Yun
err分享
err收藏
err分享
err收藏
FellowMe Cache: Fog Computing approach to enhance (QoE) in Internet of Vehicles
err2020-12-01
err23
PREAI
errAbar, Tasnim; Rachedi, Abderrezak; Letaifa, Asma ben; Fabian, Philippe; Asmi, Sadok el
err分享
err收藏
学者 查看更多内容