Towards trustworthy Internet of Things: A survey on Trust Management applications and schemes

Sharma, Avani; Pilli, Emmanuel S.; Mazumdar, Arka Prokash; Gera, Poonam

doi:10.1016/j.comcom.2020.06.030

Cited by 103 publications

(59 citation statements)

References 44 publications

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“…All four methods are evaluated according to Table 3 under three scenarios [33][34][35][36][37][38][39]. Table 9 displays the significant parameters used in the simulation.…”

Section: Simulation Resultsmentioning

confidence: 99%

A Hierarchical Routing Method based on Fog Technology using the Grey system Theory in Internet of Things

Akbari¹,

Barati²,

Barati³

2020

Preprint

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Considering the great growth of IoT networks and the need for highly reliable networks and also considering the manufacturing divides of IoT equipment which are highly limited by their memory, processing power and battery; we need a highly efficient routing for guaranteeing our network's high life span. So, this paper has suggested an efficient energy routing method based on the overlapping clustering method which is inspired from the Grey theory. The Overlap clustering method means that some Things collect data that must be sent to two or more Fog nodes for processing. In the suggested method the best node is selected as the cluster head based on factors such as remaining energy, distance, link expiration time, signal power for receiving data from things by the Fog nodes. In the next step the Fog node's data are sent in a hierarchical method using a symmetrical tree of processed data to the server. Thus, the main issue here is making using a proper routing method for data sending to the Cloud that doesn't just focus on energy, but also considers other factors such as delay and network life span. The simulation results show that the HR-IoT reduces the average end to end delay more than 17.2% and 23.1%, decreases the response time more than 20.1% and 25.78% and increase packet delivery rate more than 23.1% and 28.78% and lifetime more than 25.1% and 28.78% compared to EECRP and ERGID approaches.

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“…All four methods are evaluated according to Table 3 under three scenarios [33][34][35][36][37][38][39]. Table 9 displays the significant parameters used in the simulation.…”

Section: Simulation Resultsmentioning

confidence: 99%

A Hierarchical Routing Method based on Fog Technology using the Grey system Theory in Internet of Things

Akbari¹,

Barati²,

Barati³

2020

Preprint

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“…Regarding studies that present definitions on dependability and trustworthiness, some papers explore the state of the art and definitions [9], [42], [43], [56][57][58][59][60][61][62][63]. We also found surveys on trustworthiness [64][65][66][67][68] and dependability [69] and a systematic literature review (SLR) on dependability [70].…”

Section: ) Conceptualmentioning

confidence: 99%

A Survey on Trustworthiness for the Internet of Things

Ribeiro

Kamienski

2021

IEEE Access

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IoT systems use sensors to collect data from smart environments and manage resources through data analysis. An IoT system deals with many connected devices with different network and hardware constraints in a real-world scenario. An IoT system needs to handle low-latency data analysis, security threats, internal vulnerabilities, and network disconnections, which cause data loss and incorrect decisions. Trustworthiness (also known as dependability) provides various features for an IoT end-to-end data flow, such as resilience, security, availability, reliability, scalability, maintainability, heterogeneity, hardware resources management, fault management policies, and data quality. This paper presents a survey on trustworthiness and dependability in IoT systems and proposes the Trustworthiness for IoT Framework (TW-IoT) to provide trustworthiness at the data level for mist and fog-based IoT systems. The TW-IoT framework provides data trustworthiness to ensure a continuous and uninterrupted operation of IoT data flow. We also discuss challenges and trade-offs related to data trustworthiness in IoT.

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“…In addition, they only selected 131 articles for review. Most of the review studies not listed in Table 2 focused on specific areas of IoT security, such as layer protocols [33], intrusion detection [34], device security [35,36], trust [37], and security of specific IoT applications [38]. us, a systematic mapping study is still required to determine research topics and trends in IoT security and gain insights on this field.…”

Section: Comparison With Related Reviewsmentioning

confidence: 99%

Current Research Trends in IoT Security: A Systematic Mapping Study

Lee

2021

Mobile Information Systems

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The smart mobile Internet-of-things (IoT) network lays the foundation of the fourth industrial revolution, the era of hyperconnectivity, hyperintelligence, and hyperconvergence. As this revolution gains momentum, the security of smart mobile IoT networks becomes an essential research topic. This study aimed to provide comprehensive insights on IoT security. To this end, we conducted a systematic mapping study of the literature to identify evolving trends in IoT security and determine research subjects. We reviewed the literature from January 2009 to August 2020 to identify influential researchers and trends of keywords. We additionally performed structural topic modeling to identify current research topics and the most promising ones via topic trend estimation. We synthesized and interpreted the results of the systematic mapping study to devise future research directions. The results obtained from this study are useful to understand current trends in IoT security and provide insights into research and development of IoT security.

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Towards trustworthy Internet of Things: A survey on Trust Management applications and schemes

Cited by 103 publications

References 44 publications

A Hierarchical Routing Method based on Fog Technology using the Grey system Theory in Internet of Things

A Hierarchical Routing Method based on Fog Technology using the Grey system Theory in Internet of Things

A Survey on Trustworthiness for the Internet of Things

Current Research Trends in IoT Security: A Systematic Mapping Study

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