物联网雾计算中安全数据共享的集成区块链框架

IF 6.6 1区 计算机科学 Q1 Multidisciplinary
Peda Narayana Bathula;M. Sreenivasulu
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引用次数: 0

摘要

随着物联网(IoT)设备数量的不断增加,安全数据共享在雾计算中的重要性日益增加。本文讨论了物联网雾计算背景下数据共享带来的隐私和安全问题。该框架被称为“BlocFogSec”,通过区块链共识和智能合约确保密钥管理和数据共享。与现有解决方案不同,BlocFogSec利用两种类型的智能合约进行安全密钥交换和数据共享,同时采用共识协议来验证交易并保持区块链完整性。为了在网络边缘有效地处理和存储数据,该框架利用了雾计算,显著降低了延迟并提高了吞吐量。通过将交易限制在授权节点上,BlocFogSec成功阻止了未经授权的访问和数据泄露。此外,该框架使用共识协议来验证事务并将其添加到区块链中,从而保证了数据的准确性和不变性。为了将BlocFogSec的性能与其他模型进行比较,进行了大量的仿真。模拟结果表明,在吞吐量(高达5135字节每秒)、延迟(低至7毫秒)和资源利用率(70%至92%)方面,BlocFogSec始终优于现有模型,如雾计算安全服务(SSFC)和基于区块链的密钥管理方案(BKMS)。评估还考虑了攻击防御的准确性(高达100%),精度(高达100%)和召回率(高达99.6%),证明了BlocFogSec在识别和预防潜在攻击方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Integrated Blockchain Framework for Secure Data Sharing in IoT Fog Computing
The importance of secure data sharing in fog computing is increasing due to the growing number of Internet of Things (IoT) devices. This article addresses the privacy and security issues brought up by data sharing in the context of IoT fog computing. The suggested framework, called “BlocFogSec”, secures key management and data sharing through blockchain consensus and smart contracts. Unlike existing solutions, BlocFogSec utilizes two types of smart contracts for secure key exchange and data sharing, while employing a consensus protocol to validate transactions and maintain blockchain integrity. To process and store data effectively at the network edge, the framework makes use of fog computing, notably reducing latency and raising throughput. BlocFogSec successfully blocks unauthorized access and data breaches by restricting transactions to authorized nodes. In addition, the framework uses a consensus protocol to validate and add transactions to the blockchain, guaranteeing data accuracy and immutability. To compare BlocFogSec's performance to that of other models, a number of simulations are conducted. The simulation results indicate that BlocFogSec consistently outperforms existing models, such as Security Services for Fog Computing (SSFC) and Blockchain-based Key Management Scheme (BKMS), in terms of throughput (up to 5135 bytes per second), latency (as low as 7 ms), and resource utilization (70% to 92%). The evaluation also takes into account attack defending accuracy (up to 100%), precision (up to 100%), and recall (up to 99.6%), demonstrating BlocFogSec's effectiveness in identifying and preventing potential attacks.
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来源期刊
Tsinghua Science and Technology
Tsinghua Science and Technology COMPUTER SCIENCE, INFORMATION SYSTEMSCOMPU-COMPUTER SCIENCE, SOFTWARE ENGINEERING
CiteScore
10.20
自引率
10.60%
发文量
2340
期刊介绍: Tsinghua Science and Technology (Tsinghua Sci Technol) started publication in 1996. It is an international academic journal sponsored by Tsinghua University and is published bimonthly. This journal aims at presenting the up-to-date scientific achievements in computer science, electronic engineering, and other IT fields. Contributions all over the world are welcome.
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