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Code-based encryption techniques with distributed cluster head and energy consumption routing protocol

delete2021-08-30
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J
Jalasri, M. *
L
Lakshmanan, L.
DOI:10.1007/s40747-021-00505-8delete
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Abstract

Abstract

En 中文
Fog computing and the Internet of Things (IoT) played a crucial role in storing data in the third-party server. Fog computing provides various resources to collect data by managing data security. However, intermediate attacks and data sharing create enormous security challenges like data privacy, confidentiality, authentication, and integrity issues. Various researchers introduce several cryptographic techniques; security is still significant while sharing data in the distributed environment. Therefore, in this paper, Code-Based Encryption with the Energy Consumption Routing Protocol (CBE-ECR) has been proposed for managing data security and data transmission protocols using keyed-hash message authentication. Initially, the data have been analyzed, and the distributed cluster head is selected, and the stochastically distributed energy clustering protocol is utilized for making the data transmission. Code-driven cryptography relies on the severity of code theory issues such as disorder demodulation and vibration required to learn equivalence. These crypto-systems are based on error codes to build a single-way function. The encryption technique minimizes intermediate attacks, and the data have protected all means of transmission. In addition to data security management, the introduced CBE-ECR reduces unauthorized access and manages the network lifetime successfully, leading to the effective data management of 96.17% and less energy consumption of 21.11% than other popular methods.The effectiveness of the system is compared to the traditional clustering techniques.
Keywords:
Internet of Things (IoT)
Fog computing
Intermediate attacks
Data security
An encryption technique
Keyed-hash message authentication code-based encryption technique

Journal

Complex and Intelligent Systems cover
Complex and Intelligent Systems
IF:
4.6
Papers:
2.1K
Citations:
6.6K

Organization

No organization information available
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