Lightweight Data-Security Ontology for IoT

Gonzalez-Gil, Pedro; Martı́nez, Juan Antonio; Skarmeta, Antonio F.

doi:10.3390/s20030801

Cited by 22 publications

(10 citation statements)

References 38 publications

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“…Using an ontological approach they recommended suitable security services that must be adopted to address specific threats [23].Gonzalez-Gil et al presented the data security ontology for IoT (DS4IoT) by following ontological evaluative processing using novel semantic concepts. The presented work is justified by mapping the DS4IoT ontology to the NGSI-LD data model [24].The security ontology presented in their paper may act as reference ontology for naï ve researchers with predefined semantic terms. However, description of context-aware rules is not described in clear manner.…”

Section: Related Workmentioning

confidence: 99%

An Ontology based Approach for Context-Aware Security in the Internet of Things (IoT)

Nazir¹

2021

IJWMT

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Due to increased number of IoT devices, the marketplace is showing significant growth of sensor deployments around the world. The context involved in any IoT environment needs proper storage, processing and interpretation to get deeper insights from it. Previous research has not focussed much on context-ware security in IoT environment and has primarily relied on context-ware computing methods. In this research paper we implement logical decisions among IoT nodes in healthcare system using ontological approach. With the help of ontological method collected data is transferred between various healthcare devices to the knowledge base thereby achieving security of context like patient data by providing deeper insights, so as to generate intelligent suggested solutions. Incorporation of context-aware rules based on common experience for specific healthcare scenario is done to get implicit insight among IoT nodes. This work designs security ontology using Security Toolbox: Attacks & Countermeasures (STAC) framework that is implemented in Proté gé 5. Moreover, Pellet (Incremental) reasoned is used to evaluate the ontology. Emergency ontology that can prove helpful at emergency times has also been designed. Different parameters addressed in this work are authentication, access-control, authorization and privacy using context-awareness methodology that can enable naive users make informed security decision.

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Section: Related Workmentioning

confidence: 99%

An Ontology based Approach for Context-Aware Security in the Internet of Things (IoT)

Nazir¹

2021

IJWMT

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“…Pedro Gonzalez-Gil et al [25] suggested the DS4IoT for IoT based on lightweight data-security ontology. Current method estimates show steady IoT development, with many works depicting an even nascent security technology.…”

Section: Literature Review Based On Data Securitymentioning

confidence: 99%

Code-based encryption techniques with distributed cluster head and energy consumption routing protocol

Jalasri

Lakshmanan

2021

Complex Intell. Syst.

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Fog computing and the Internet of Things (IoT) played a crucial role in storing data in the third-party server. Fog computing provides various resources to collect data by managing data security. However, intermediate attacks and data sharing create enormous security challenges like data privacy, confidentiality, authentication, and integrity issues. Various researchers introduce several cryptographic techniques; security is still significant while sharing data in the distributed environment. Therefore, in this paper, Code-Based Encryption with the Energy Consumption Routing Protocol (CBE-ECR) has been proposed for managing data security and data transmission protocols using keyed-hash message authentication. Initially, the data have been analyzed, and the distributed cluster head is selected, and the stochastically distributed energy clustering protocol is utilized for making the data transmission. Code-driven cryptography relies on the severity of code theory issues such as disorder demodulation and vibration required to learn equivalence. These crypto-systems are based on error codes to build a single-way function. The encryption technique minimizes intermediate attacks, and the data have protected all means of transmission. In addition to data security management, the introduced CBE-ECR reduces unauthorized access and manages the network lifetime successfully, leading to the effective data management of 96.17% and less energy consumption of 21.11% than other popular methods.The effectiveness of the system is compared to the traditional clustering techniques.

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“…Assuming that an information source continuously emits a series of uncertain source symbols, if these source symbols C have a value C 1 , C 2 , ⋯, C n , the corresponding uncertainty probability is P 1 , P 2 , ⋯, P n , and these source symbols are independent of each other [11,12]. Then, the information entropy of these information source symbols can be defined as follows:…”

Section: Corporate Financing Constraints and Labormentioning

confidence: 99%

Impact of Enterprise Financing Constraints on Labor Income Share Based on Internet of Things Data Analysis Technology

Zhang

Wei

Zhang

2021

Wireless Communications and Mobile Computing

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Although the Chinese economy has developed rapidly since the reform and opening up, the income distribution gap is widening year by year. The final social income distribution pattern is highly dependent on the primary distribution pattern. Therefore, the changing trend and influencing factors of labor income share have become the focus of academic research and the focus of government attention. Based on this, this article proposes enterprise financing based on Internet of Things data analysis technology. Studies on the impact of restraints on labor income shares will help further research on the impact of corporate financial restraints on future labor income shares. Based on the financial data reports published in the CCER database and the company’s IPO prospectus and annual report, this paper discusses whether the company’s key business products belong to the Internet of Things’ key technology application categories. Take 226 IoT companies as the research objects of this article, and conduct a secondary screening. The final survey sample is used to investigate the impact of corporate funding constraints on labor income share. Tests have proved that among the 179 resource-based enterprises undergoing transformation, 109 enterprises have undergone intraindustry transformation, accounting for 48.23% of the overall sample and 60.89% of the sample of transformed enterprises. Downstream expansion makes the business industry expand. This shows that funding constraints have a negative impact on labor income share. This is primarily the result of the impact of the long-term debt-to-asset ratio on labor income share.

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Lightweight Data-Security Ontology for IoT

Cited by 22 publications

References 38 publications

An Ontology based Approach for Context-Aware Security in the Internet of Things (IoT)

An Ontology based Approach for Context-Aware Security in the Internet of Things (IoT)

Code-based encryption techniques with distributed cluster head and energy consumption routing protocol

Impact of Enterprise Financing Constraints on Labor Income Share Based on Internet of Things Data Analysis Technology

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