Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges

Ferrag, Mohamed Amine; Shu, Lei; Yang, Xing; Derhab, Abdelouahid; Μαγλαράς, Λέανδρος

doi:10.1109/access.2020.2973178

Cited by 300 publications

(162 citation statements)

References 105 publications

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“…Possible results can be the data breach/loss and/or alternation, service unavailability, loss of devices connectivity or even smart farming agriculture system corruption and/or destruction. [62,79,[99][100][101] Non-Repudiation…”

Section: Privacy Physical Attack Replay Attack Masquerade Attackmentioning

confidence: 99%

“…The repudiation of information allows an attacker to repudiate all the power consumption, generated information and production processes of an agriculture ICT system, which can lead to a situation of refusing services, authentication information or data transmissions, through the nodes of the system. [62,79,102,103]…”

Section: Malicious Code Attack Repudiation Attackmentioning

confidence: 99%

“…Major problems that come as a result of attacks on this layer can affect data and/or device (nodes installed into the agriculture infrastructure) management and other types of issues such as device information discovery, access control by the users and data analysis as well. [62,79,107,109] Internet Phishing Site Attack Access Attack DDoS/DoS Attack Data transit Attacks…”

Section: Iot Vulnerabilities Risks and Threats In Agriculturementioning

confidence: 99%

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Survey on Security Threats in Agricultural IoT and Smart Farming

Demestichas

Πεππές

Alexakis

2020

Sensors

126

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The agriculture sector has held a major role in human societies across the planet throughout history. The rapid evolution in Information and Communication Technologies (ICT) strongly affects the structure and the procedures of modern agriculture. Despite the advantages gained from this evolution, there are several existing as well as emerging security threats that can severely impact the agricultural domain. The present paper provides an overview of the main existing and potential threats for agriculture. Initially, the paper presents an overview of the evolution of ICT solutions and how these may be utilized and affect the agriculture sector. It then conducts an extensive literature review on the use of ICT in agriculture, as well as on the associated emerging threats and vulnerabilities. The authors highlight the main ICT innovations, techniques, benefits, threats and mitigation measures by studying the literature on them and by providing a concise discussion on the possible impacts these could have on the agri-sector.

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Section: Privacy Physical Attack Replay Attack Masquerade Attackmentioning

confidence: 99%

Section: Malicious Code Attack Repudiation Attackmentioning

confidence: 99%

Section: Iot Vulnerabilities Risks and Threats In Agriculturementioning

confidence: 99%

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Survey on Security Threats in Agricultural IoT and Smart Farming

Demestichas

Πεππές

Alexakis

2020

Sensors

126

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“…IoT is used to create security for agriculture with blockchain by designing agricultural architecture based on green IoT and surveying smart agriculture management which analyzes security-oriented approaches with blockchain and determines algorithms that are consistent with IoT applications. It is an appropriate method for agricultural use based on green IoT [26]. Blockchain technology is used to allow IoT access by designing and installing as fabric-iot access control using hyper, ledger fabric and attributed based access control (ABAC).…”

Section: B Internet Of Things (Iot)mentioning

confidence: 99%

Blockchain, IoT and Fog Computing for Smart Education Management

Chaiyarak

Koednet

Nilsook

2020

International Journal of Education and Information Technologies

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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

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“…There are many applications of IoT in the domain of agriculture [7], [8]. The irrigation systems can be automated for increasing the productivity.…”

Section:  Smart Agriculturementioning

confidence: 99%

A Novel IoT Switching Model Based on Cloud-Centric RTDBS

Farjad¹

2019

EAI Endorsed Trans IoT

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INTRODUCTION: Over the past decade, a significant rise in the number of internet-connected devices was observed. The number of smart devices is continuously increasing. The expanding network of interconnected devices provided an impetus for rapid advancement in the domain of Internet-of-Things (IoT). IoT has recently become a centre of attraction for research community. The development of microprocessors and microcontrollers has supplemented advancement in IoT paradigm. The rapidly emerging paradigm of IoT is facing challenges which render significant impact on its performance and cost. OBJECTIVES: In this paper, a novel architecture based on Real-Time Database System (RTDBS) coupled with cloud functionalities is proposed for providing efficient and cost-effective IoT system. An efficient circuit design consisting of solid state technology has also been integrated with the proposed architecture for enhancing the feasibility of the model. METHODS: The proposed model leverages cloud-hosted RTDBS for developing IoT system. After an inspective analysis, the most appropriate RTDBS was selected. In this model, a User Interface (UI) is coupled with the selected RTDBS. The same RTDBS is connected with ESP8266 which is directly attached with switching circuit based on a proposed design. The UI is also retrofitted with the functionality of recognizing speech in both English and Urdu. After speech recognition, corresponding command is sent to RTDBS and RTDBS updates the relevant instance. The modification of state generates a signal that is sent to ESP8266, and ESP8266 triggers the switching circuit according the signal received from RTDBS. RESULTS: The proposed IoT system was implemented and tested for continuous switching transactions and it purported to be highly tolerant against the threat of malfunctioning which arises due to continuous switching operations. The implemented IoT system was subjected to voice commands both in English and Urdu, and it exhibited the quick responses. CONCLUSION: The results obtained from the scrutiny of implementation endorse the efficiency of proposed model.

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Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges

Cited by 300 publications

References 105 publications

Survey on Security Threats in Agricultural IoT and Smart Farming

Survey on Security Threats in Agricultural IoT and Smart Farming

Blockchain, IoT and Fog Computing for Smart Education Management

A Novel IoT Switching Model Based on Cloud-Centric RTDBS

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