SGF-MD: Behavior Rule Specification-Based Distributed Misbehavior Detection of Embedded IoT Devices in a Closed-Loop Smart Greenhouse Farming System

Astillo, Philip Virgil; Kim, Jiyoon; Sharma, Vishal; You, Ilsun

doi:10.1109/access.2020.3034096

Cited by 20 publications

(24 citation statements)

References 20 publications

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“…The later problem has been solved by utilizing techniques to identify uncertainties or noise in the data and mitigate them. Algorithms based on Boltzmann machine learning [224], Kalman-filter [225], and Longest Common Subsequence (LCSS) [226] have been utilized for data processing. Enhancing the quality of data has also been achieved through interpolation models based on fuzzy and neural network technology [128], and anomaly detection algorithm based on matching old and new data [227].…”

Section: Managing Big Datamentioning

confidence: 99%

Technologies Driving the Shift to Smart Farming: A Review

Elbeheiry

Balog

2023

IEEE Sensors J.

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As today's agriculture industry is facing numerous challenges, including climate changes, encroachment of the urban environment and lack of qualified farmers, there is a need for new practices to ensure sustainable agriculture and food supply. Consequently, there is an emphasis on upgrading the farming practices by shifting towards Smart Farming (SF) -utilizing advanced information and communication technologies to improve the quantity and quality of the crop with minimal labor interference. SF has gained lots of interest in recent years utilizing a variety of technological innovations in the field, which imposes a challenge on farmers and technology integrators to identify the suitable technologies and best practices for a particular application. This paper provides a survey of the most recent SF scientific literature to identify common practices toward technology integration, challenges, and solutions. The survey was conducted on 588 papers published on the IEEE database following Cochrane methods to ensure appropriate analysis and interpretation of results. The papers' contributions were analyzed to identify necessary technologies that constitute SF, and consequently, research themes were identified. The identified themes are sensors, communication, big data, actuators and machines, and data analysis. Besides presenting an in-depth analysis of each identified theme, the paper discusses integrating more than one technology in systems to achieve independency. The most common SF systems are remote monitoring, autonomous, and intelligent decision-making systems.

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Section: Managing Big Datamentioning

confidence: 99%

Technologies Driving the Shift to Smart Farming: A Review

Elbeheiry

Balog

2023

IEEE Sensors J.

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“…Te recent work of Sontowski and Zhang [30] has presented a scheme to resist cyber-attack and denial of service. Using Raspberry Pi prototyping, the proposed system has developed a scheme for resisting deauthentication attacks owing to the adoption of the frequently used IEEE standard of 802.11 in PA. Another recent work by Astillo et al [31] implemented a mechanism to model the misbehavior of attackers in a farming environment. Te study has developed rules for resisting attack environments in IoT using the Kalman flter.…”

Section: Existing Approaches Of Securitymentioning

confidence: 99%

Novel Framework for Secure Data Aggregation in Precision Agriculture with Extensive Energy Efficiency

Nagaraja¹,

Vanishree²,

Azam

2023

Journal of Computer Networks and Communications

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Precision agriculture (PA) is the next generation of a technological revolution in smart farming, where sensing technology is the core technological player. Energy-efficient data transmission in PA via sensing technology is possible only when additional security measures are synchronized. Nevertheless, security considerations often introduce additional overhead. Thus, it is necessary to develop an efficient mechanism to achieve an optimal trade-off between security and resource efficiency. The prime purpose of the proposed study is to introduce a lightweight communication protocol that can ensure an adequate balance between energy efficiency and maximum-security demands to benefit the success of PA. This paper proposes a synchronized framework where unique public-key encryption has been used, unlike any existing approach to facilitate the participation of legitimate on-field sensors in PA. On the other hand, an algorithm for energy efficiency where unique structural management of routing is discussed concerning aggregator nodes. In contrast, the security algorithm discusses a uniquely progressive and noniterative mechanism to perform secure data aggregation with a parallel validation technique. The proposed logic is scripted in MATLAB, considering a suitable PA environment where comparative assessment is carried out on a uniform testbed. The study outcome exhibited the effectiveness of the proposed scheme concerning better energy efficiency and higher resiliency from threats in contrast to existing schemes.

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“…Based on the usage, they classified IoTA applications into two types, Indoor (i.e., crop beds, greenhouse, hydroponic) and outdoor (arable land, orchard). Some other works include IoT based smart greenhouse and precision farming applications [51]. In Europe, there is ongoing work on IoTA based research projects [52].…”

Section: Iota Applicationsmentioning

confidence: 99%

IoT based Agriculture (IoTA): Architecture, Cyber Attack, Cyber Crime and Digital Forensics Challenges

Rudrakar¹,

Rughani²

2022

Preprint

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The Internet of Things (IoT) is a thriving technology in almost all fields of human life to make their lives easy. Smart Agriculture is one of the IoT applications on which farmers are widely switching to improve productivity and reduce labor costs. As IoT involves the Internet, data transmission technology creates the possibility of privacy/security breaches concerning users’ data. The cybercrime rate may also increase in IoT-based agriculture (IoTA). Thus there must be ready concerning digital forensics in IoTA. Various review articles are available regarding the emerging cyber attack, cybercrime, and forensics challenges in IoT applications like smart home, smart city, smart healthcare, smart grid, smart retail, smart supply chain management, and smart agriculture, while a few review articles on IoTA security and forensic challenges. This review paper is focused on IoTA solutions and their security and forensics challenges. The systematic literature review method has been used for this study which includes articles published from 2011 - 2021. This article has brought the limelight on IoT architecture and its application in agricluture (IoTA) to emphasize on its introduction, architecture, challenges and issues related emerging cybercrimes and digital forensics. At the end, this review paper discusses various challenges in securing IoTA systems and presents future directions for research.

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SGF-MD: Behavior Rule Specification-Based Distributed Misbehavior Detection of Embedded IoT Devices in a Closed-Loop Smart Greenhouse Farming System

Cited by 20 publications

References 20 publications

Technologies Driving the Shift to Smart Farming: A Review

Technologies Driving the Shift to Smart Farming: A Review

Novel Framework for Secure Data Aggregation in Precision Agriculture with Extensive Energy Efficiency

IoT based Agriculture (IoTA): Architecture, Cyber Attack, Cyber Crime and Digital Forensics Challenges

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