A Research Perspective on Security in Fog Computing Through Blockchain Technology

Author(s):  
Disha Garg ◽  
Komal Kumar Bhatia ◽  
Sonali Gupta
Author(s):  
Dr. Bhalaji N. ◽  
Shanmuga Skandh Vinayak E

Ever since the concept of parallel processing and remote computation became feasible, Cloud computing is at its highest peak in its popularity. Although cloud computing is effective and feasible in its usage, using the cloud for frequent operations may not be the be the most optimal solution. Hence the concept of FOG proves to be more optimal and efficient. In this paper, we propose a solution by improving the FOG computing concept of decentralization by implementing a secure distributed files system utilizing the IPFS and the Ethereum Blockchain technology. Our proposed system has proved to be efficient by successfully distributing the data in a Raspberry Pi network. The outcome of this work will assist FOG architects in implementing this system in their infrastructure and also prove to be effective for IoT developers in implementing a Raspberry Pi decentralized network while providing more security to the data.


The objective of this research is to present the use of blockchain technology, the internet of things and fog computing to develop the potential of school management for smart education. By using the blockchain to record and store various pieces of information the organization will create credibility of administrative data in all departments and will reduce corruption. Data can be examined transparently, especially the financial and budget management and procurement of durable articles. Regarding the academic work and registration, it can be used to store learners' information, educational history, information of enrollment, academic results, and participation in the various activities of the educational institutions. It can create credibility in the management of information about content, learning and ability assessment results that students receive, and these can be recorded and stored in a blockchain that can be safely distributed. In addition, IoT and fog computing are integrated with AI systems embedded in various modern devices to be applied in environmental management and smart education management. IoT and fog computing help to support and respond quickly to questions about the use of all types of equipment for real-time management of executives, personnel and students, as well as creating new work and learning styles that can solve the situation of dangerous communicable diseases, such as the COVID-19 situation, or can solve emergency situations that will emerge in the future by working and studying from home. It can organize and share resources for work and learning together to access the organization from outside anywhere and at any time


Author(s):  
David Bermbach ◽  
Frank Pallas ◽  
David García Pérez ◽  
Pierluigi Plebani ◽  
Maya Anderson ◽  
...  

Electronics ◽  
2021 ◽  
Vol 10 (17) ◽  
pp. 2110
Author(s):  
Desire Ngabo ◽  
Dong Wang ◽  
Celestine Iwendi ◽  
Joseph Henry Anajemba ◽  
Lukman Adewale Ajao ◽  
...  

The recent developments in fog computing architecture and cloud of things (CoT) technology includes data mining management and artificial intelligence operations. However, one of the major challenges of this model is vulnerability to security threats and cyber-attacks against the fog computing layers. In such a scenario, each of the layers are susceptible to different intimidations, including the sensed data (edge layer), computing and processing of data (fog (layer), and storage and management for public users (cloud). The conventional data storage and security mechanisms that are currently in use appear to not be suitable for such a huge amount of generated data in the fog computing architecture. Thus, the major focus of this research is to provide security countermeasures against medical data mining threats, which are generated from the sensing layer (a human wearable device) and storage of data in the cloud database of internet of things (IoT). Therefore, we propose a public-permissioned blockchain security mechanism using elliptic curve crypto (ECC) digital signature that that supports a distributed ledger database (server) to provide an immutable security solution, transaction transparency and prevent the patient records tampering at the IoTs fog layer. The blockchain technology approach also helps to mitigate these issues of latency, centralization, and scalability in the fog model.


2020 ◽  
Author(s):  
Rateb Jabbar ◽  
Moez Krichen ◽  
Mohamed Kharbeche ◽  
Noora Fetais ◽  
Kamel Barkaoui

<div>The emergence of embedded and connected smart technologies, systems, and devices has enabled the concept of smart cities by connecting every ``thing'' to the Internet and in particular in transportation through the Internet of Vehicles (IoV). The main purpose of IoV is to prevent fatal crashes by resolving traffic and road safety problems. Nevertheless, it is paramount to ensure secure and accurate transmission and recording of data in ``Vehicle-to-Vehicle'' (V2V) and ``Vehicle-to-Infrastructure'' (V2I) communication. </div><div>To improve ``Vehicle-to-Everything'' (V2X) communication, this work uses Blockchain technology for developing a Blockchain-based IoT system aimed at establishing secure communication and developing a fully decentralized cloud computing platform.</div><div> Moreover, the authors propose a model-based framework to validate the proposed approach. This framework is mainly based on the use of the Attack Trees (AT) and timed automaton (TA) formalisms in order to test the functional, load and security aspects. An optimization phase for testers placement inspired by fog computing is proposed as well.</div>


Author(s):  
Anubhav Srivastava ◽  
Prachi Jain ◽  
Bramah Hazela ◽  
Pallavi Asthana ◽  
Syed Wajahat Abbas Rizvi

2019 ◽  
Vol 6 (4) ◽  
pp. 6835-6842 ◽  
Author(s):  
Gulshan Kumar ◽  
Rahul Saha ◽  
Mritunjay Kumar Rai ◽  
Reji Thomas ◽  
Tai-Hoon Kim

2022 ◽  
Vol 71 (2) ◽  
pp. 4135-4149
Author(s):  
Mesfer AI Duhayyim ◽  
Fahd N. Al-Wesabi ◽  
Radwa Marzouk ◽  
Abdalla Ibrahim Abdalla Musa ◽  
Noha Negm ◽  
...  

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