A Comprehensive Study on the Trust Management Techniques in the Internet of Things

Pourghebleh, Behrouz; Wakil, Karzan; Navimipour, Nima Jafari

doi:10.1109/jiot.2019.2933518

Cited by 107 publications

(57 citation statements)

References 91 publications

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“…For an example ZigBee is vulnerable to packet decoding, data manipulation, and traffic sniffing issues and IEEE 802.11 is vulnerable to jamming, scrambling, and passive attack 90 . The required significance work should be carried out to guard the data communication, trust management techniques in IoT 91,92 …”

Section: Discussionmentioning

confidence: 99%

Systematic review of Internet of Things in smart farming

Terence

Geethanjali

2020

Trans Emerging Tel Tech

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Agriculture unquestionably is one of the traditional occupations, which feeds all mankind in the world. Continuous changes are happening in the agricultural field to increase production. Researchers are applying various techniques to improve farming methods. To monitor plants even from remote places and to improve the yield of plants, Internet of Things (IoT), which is a boon in today's world, is applied in farming, in general, known as smart farming. Smart farming is a way where the farmers can monitor their field and manage farming activities from remote places. This reduces man power and increases resource utilization in farming. In this article, we have studied the architecture of smart farming and studied different smart farming techniques, also we have classified smart farming techniques into three categories, namely, IoT-based agricultural monitoring and controlling system, automatic irrigation system, and plant disease monitoring system. The review for the article is selected based on the systematic literature review method, and articles published from 2011 to 2019 are considered for review. Different IoT technologies such as sensors, gateway, communication system, user interface and experiment nature, plant type, disease type, advantages, and limitations are also reviewed. Future research direction and challenges in smart farming techniques are also discussed. Trans Emerging Tel Tech. 2020;31:e3958. wileyonlinelibrary.com/journal/ett Atzori et al 16 presented a survey on IoT techniques. In this article, the architecture, applications, and challenges of IoT technologies were discussed. Various environmental and agricultural monitoring applications were discussed. Zhang et al 17 projected various agricultural data transmission methods in his review article, namely, voice information transmission, short message service (SMS) information transmission, online information transmission, video conference information transmission, and multichannel-based information transmission techniques. Case studies, features, applications, examples, and limitations of various information transmission techniques were discussed. Kamilaris et al 18 projected survey on big data analysis in agriculture. In this article, 34 agriculture works were considered for the study and different features such as tools applied, big data algorithm used, problem and proposed solution implemented, and data used were discussed. The type of plants and experimental duration and advantages and limitation of algorithms were missing. Talavera et al 14 reviewed IoT applications in environment and agroindustrial system. The authors discussed about various IoT techniques involved in monitoring, communication, logistics, energy and resource management in environment monitoring, and agroindustrial system. In this study, the authors approached all the IoT techniques with following two questions: what is the primary technical solution of IoT in environmental monitoring and agroindustrial system and which methodology and IoT components such as sensors, actuato...

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Section: Discussionmentioning

confidence: 99%

Systematic review of Internet of Things in smart farming

Terence

Geethanjali

2020

Trans Emerging Tel Tech

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“…Pourghebleh et al [92] have presented a structured analysis study in the field of trust management in IoT using a systematic approach. Previous articles have been divided into four groups, including forecast-based, recommendation-based, reputation-based, and policy-based.…”

Section: Related Review Papersmentioning

confidence: 99%

A comprehensive study on key management, authentication and trust management techniques in wireless sensor networks

Gautam

Kumar

2021

SN Appl. Sci.

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Wireless sensor networks (WSN) are the new speed-accelerating technologies worldwide and are used continuously in a range of critical applications. Any damage or compromise to data security could have physical and direct effects on network efficiency and safety. One of the active areas of research is key management, authentication, and trust management in wireless sensor networks (WSN). Since researchers have provided many protection schemes, it is difficult to select which key management or trust management schemes in a specific WSN application suit best. We did a detailed survey in our paper on how the properties of various trust management, authentication, and key management schemes can be used for specific applications. Based on this review, we present the methodologies, advantages, and limitations of the previously proposed key management, authentication, and trust management scheme in WSN. The goal of this thorough analysis is to compare and find the correct security solution that successfully meets the requirements of the application. Moreover, the strength, weaknesses, and open problems are added that can extend more frontiers to get the best security solutions in the future.s

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“…Also, authors in Reference 38 have provided an organized review study in the field of trust management in IoT using a systematic method. They have classified the prior papers into four categories comprising prediction‐based, recommendation‐based, reputation‐based, and policy‐based.…”

Section: Related Workmentioning

confidence: 99%

“…Trust methods and strategies : In order to determine trust values and assign them to involved entities or objects, different trust methods can be utilized. In fact, the trust method, which is also called trust strategy in the rest of the paper ensures security and privacy aims during the interactions between objects 38 …”

Section: Introductionmentioning

confidence: 99%

Trust management of services (TMoS): Investigating the current mechanisms

Hayyolalam

Pourghebleh

Kazem

2020

Trans Emerging Tel Tech

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Generally, service interactions in dynamic environments comprising cloud computing, Internet of Things (IoT), and etc. occur in an unspecified situation causing trust management a significant aspect. The widespread usage of services in today's vastly high-tech world reveals the rising necessity of trust management in terms of services. In dynamic environments, there are not enough confidences for users to recognize trustworthy service providers. Hence, evaluating and managing the trustworthiness of services is a vital challenge for enabling customers to select trustworthy resources in dynamic environments. To the extent of our knowledge, in spite of the vital role of Trust Management of Services (TMoS), there is not any thorough and systematic work in this scope with a specific focus on services. Thus, this research investigates the current methods of trust management in terms of services, which are published up to February 2020. We have identified 68 papers that are diminished to 22 mostly qualified papers through the article selection process. Also, we have examined and compared the selected papers in terms of their merits and demerits, considering the important parameters in this field. The investigation results point out that the security, scalability, and dynamicity are essential to almost all research. Furthermore, privacy and reliability are the most essential parameters in the field of TMoS. Moreover, the statistical results and information can contribute to future works; also, we have conducted some open issues and future work suggestions that could be an effective roadmap for future researchers in this area.

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A Comprehensive Study on the Trust Management Techniques in the Internet of Things

Cited by 107 publications

References 91 publications

Systematic review of Internet of Things in smart farming

Systematic review of Internet of Things in smart farming

A comprehensive study on key management, authentication and trust management techniques in wireless sensor networks

Trust management of services (TMoS): Investigating the current mechanisms

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