Partitioning-Based Data Sharing Approach for Data Integrity Verification in Distributed Fog Computing

IF 1.3 Q3 ENGINEERING, MULTIDISCIPLINARY
Uma Maheswari Kaliyaperumal, Mary Saira Bhanu Somasundaram, Nickolas Savarimuthu
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引用次数: 0

Abstract

With the increasing popularity of the internet of things (IoT), fog computing has emerged as a unique cutting-edge approach along with cloud computing. This study proposes an approach for data integrity verification in fog computing that does not require metadata stored on the user side and can handle big data efficiently. In the proposed work, fuzzy clustering is used to cluster IoT data; dynamic keys are used to encrypt the clusters; and dynamic permutation is used to distribute encrypted clusters among fog nodes. During the process of data retrieval, fuzzy clustering and message authentication code (MAC) are used to verify the data integrity. Fuzzy clustering and dynamic primitives make the proposed approach more secure. The security analysis indicates that the proposed approach is resilient to various security attacks. Moreover, the performance analysis shows that the computation time of the proposed work is 50 times better than the existing tag regeneration scheme.
分布式雾计算中基于分区的数据共享方法
随着物联网(IoT)的日益普及,雾计算与云计算一起成为一种独特的前沿方法。这项研究提出了一种在雾计算中进行数据完整性验证的方法,该方法不需要在用户端存储元数据,并且可以有效地处理大数据。在所提出的工作中,使用模糊聚类对物联网数据进行聚类;使用动态密钥对集群进行加密;并且使用动态排列来在雾节点之间分配加密的簇。在数据检索过程中,使用模糊聚类和消息认证码(MAC)来验证数据的完整性。模糊聚类和动态基元使所提出的方法更加安全。安全性分析表明,所提出的方法对各种安全攻击具有较强的抵御能力。此外,性能分析表明,所提出的工作的计算时间是现有标签再生方案的50倍。
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来源期刊
CiteScore
2.80
自引率
0.00%
发文量
18
审稿时长
12 weeks
期刊介绍: The IJETI journal focus on the field of engineering and technology Innovation. And it publishes original papers including but not limited to the following fields: Automation Engineering Civil Engineering Control Engineering Electric Engineering Electronic Engineering Green Technology Information Engineering Mechanical Engineering Material Engineering Mechatronics and Robotics Engineering Nanotechnology Optic Engineering Sport Science and Technology Innovation Management Other Engineering and Technology Related Topics.
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