A blockchain security scheme to support fog-based internet of things

Mohapatra, Debasis; Bhoi, Sourav Kumar; Jena, Kalyan Kumar; Nayak, Soumya Ranjan; Singh, Akansha

doi:10.1016/j.micpro.2022.104455

Cited by 14 publications

(8 citation statements)

References 16 publications

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“…is the threshold for responding to deployment and security based on the parameters ("send Network data, data confidentiality, accuracy, information integrity, accessibility, and attack detection"). It is clear that 𝑋 𝑖 1 is the best position for deployment, and response is very good, and 𝑋 ̅ 𝑖 1 is the worst position for deployment, and response is very bad. Using the social spider algorithm for the IoT deployment scenario based on the fog environment considering the security problem with the initial parameter 𝑖 to update the probability vector 𝑃(𝑡 + 1) as equation (13).…”

Section: Probabilistic Detectionmentioning

confidence: 99%

“…Any computer network needs security and privacy issues due to unauthorized access. System protection against any malicious activity or data information theft, hardware, and software is provided as a definition of computer security [1] and cyber security as protection of data in the network [2]. Three important issues in security should be mentioned, which include the following :…”

Section: Introductionmentioning

confidence: 99%

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Internet of Things Deployment based on Fog Computing Systems: Security Approach

ChinaTelecomSichuanBranch

2024

Preprint

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A smart grid with numerous capabilities has been developed using the Internet of Things (IoT). Due to the high volume of computing of the IoT, there is fog computing, which puts the burden of processing on the cloud computing to lighten the network load, which leading to improved efficiency, energy efficiency, and quality of services optimization. This research provides an intelligent method of IoT-based deploying for intrusion detection by using KDD CUP data to improve accessibility while maintaining security to reduce penetrations. The Social Spider Algorithm (SSA) as a swarm intelligence algorithm has been considered as a solution to improve this problem. The results represented that improvements in intrusion detection and availability have been made by maintaining security over previous methods.

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Section: Probabilistic Detectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Internet of Things Deployment based on Fog Computing Systems: Security Approach

ChinaTelecomSichuanBranch

2024

Preprint

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“…FC and BC were combined to provide a new platform to address these issues. Mohapatra et al [ 229 ] presented a secure data exchange system for IoT devices based on BC with FC integration. The authors proposed two software agents: a BC creation software agent deployed in FC, and a network of IoT device monitoring software agents.…”

Section: Blockchain-fog Computing Purposesmentioning

confidence: 99%

“…As a result, BC is protected by distributing data over a large number of linked fog nodes. Authors proposed several architectural designs to support security in FC environment ([ 81 , 84 , 104 , 120 , 139 ]): to protect against frauds ([ 73 , 147 , 149 , 164 , 168 , 181 , 221 – 223 ]), to enhance and achieve data confidentiality ([ 48 , 123 , 192 , 229 ]), to enhance and achieve data integrity ([ 32 , 58 , 61 , 87 , 94 , 127 , 193 , 227 ]), and to achieve data availability ([ 137 , 192 , 204 ]). The majority of the selected studies under this category reported that BC can help against fraud attacks in FC, followed by data integrity purpose, and the least purpose mentioned was to achieve data availability.…”

Section: Blockchain-fog Computing Purposesmentioning

confidence: 99%

A systematic review of the purposes of Blockchain and fog computing integration: classification and open issues

2022

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The fog computing concept was proposed to help cloud computing for the data processing of Internet of Things (IoT) applications. However, fog computing faces several challenges such as security, privacy, and storage. One way to address these challenges is to integrate blockchain with fog computing. There are several applications of blockchain-fog computing integration that have been proposed, recently, due to their lucrative benefits such as enhancing security and privacy. There is a need to systematically review and synthesize the literature on this topic of blockchain-fog computing integration. The purposes of integrating blockchain and fog computing were determined using a systematic literature review approach and tailored search criteria established from the research questions. In this research, 181 relevant papers were found and reviewed. The results showed that the authors proposed the combination of blockchain and fog computing for several purposes such as security, privacy, access control, and trust management. A lack of standards and laws may make it difficult for blockchain and fog computing to be integrated in the future, particularly in light of newly developed technologies like quantum computing and artificial intelligence. The findings of this paper serve as a resource for researchers and practitioners of blockchain-fog computing integration for future research and designs.

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“…[36] is summarized recent research on IoT-enabled smart city applications with a focused on highlighting resource limitations, including restricted processing, limited (energy, storage, and bandwidth). Finally in [37] This study suggested a blockchain-based fog-based secure data exchange framework for Internet of Things devices.…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Encrypt/Decrypt Algorithm in IOT regarding home data Privacy and Security

Mohammed¹,

Nourildean²

2023

IJCDS

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Citizens and urban settings have benefited significantly from major advances in new life and services provided by smart homes (SHs), which are fully capable of controlling physical objects in real time, collecting very sensitive information, and delivering intelligent data to citizens in many fields, such as transportation, healthcare, smart buildings and parking, public safety, traffic systems, and smart agriculture. The architecture, on the other hand, may encounter a variety of security and privacy challenges at multiple levels.It is in the applied experimental session testing the performance of various machine learning (ML) models for threat detection that one may get a thorough grasp of where and how Data Science can offer value to IoT network security. The findings serve as a foundation for illustrating the advantages of integrating new technology for the purpose of forecasting risks and concerns. Implementing machine learning into intelligent security systems, in addition, increases the requirement for a multi-disciplinary strategy and data infrastructure to manage the whole lifespan of a security product (Software Engineering end-to-end, including ML and Data DevOps). In this paper, we give an intelligent security algorithm for home data privacy and security in IoT. Experiments using the publicly available IoT-23 dataset, which contains labeled information on malicious and benign IoT network traffic, are used to complete the case study. The benign situations were received directly from the actual hardware and were not faked in any way or form. This enabled real-time network activity to be observed and evaluated. Therefore, models provide accurate outputs that may be used to forecast and identify vulnerabilities on Internet of Things-based systems. Furthermore, the lab might be expanded to accommodate the development of commercial and industry demos to demonstrate the benefits of building intrusion detection systems that use machine learning algorithms.

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A blockchain security scheme to support fog-based internet of things

Cited by 14 publications

References 16 publications

Internet of Things Deployment based on Fog Computing Systems: Security Approach

Internet of Things Deployment based on Fog Computing Systems: Security Approach

A systematic review of the purposes of Blockchain and fog computing integration: classification and open issues

An Intelligent Encrypt/Decrypt Algorithm in IOT regarding home data Privacy and Security

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