Ontology based policy interoperability in geo-spatial domain

Husain, Mohammad Farhan; Al-Khateeb, Tahseen M.; Alam, Mohmmad; Khan, Latifur

doi:10.1016/j.csi.2010.03.011

Cited by 8 publications

(3 citation statements)

References 5 publications

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“…Classical security based on phase computing is authentication, data integrity, private communication, and access control. 7 These defenses are in general use and are suitable for the grid environment without major modifications. Data security is an essential part of the healthcare industry for protecting confidential patient information and complying with regulations like those mandated by Health Insurance Portability and Accountability Act (HIPAA).…”

Section: Introductionmentioning

confidence: 99%

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Ontology‐based data access control model supported with grid computing for improving security in healthcare data

Kiran

Nalini²

2022

Trans Emerging Tel Tech

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Ontology is broadly applied in various fields for creating trust‐based data access control models. In the case of the medical field, utilizing ontology is highly recommended for securing the medical report and patient information. Here, ontology is integrated with the grid computing system for achieving better authentication and security in the healthcare system. Various ontology based data access control models are designed by different authors for achieving enhanced user authorization and security. Security is still found to be a major issue in the existing techniques. To overcome this issue, the proposed work developed a medical ontology with three tier secure access control. The proposed method is processed in three layers. In the first layer, job scheduling for user is achieved. Job scheduling is carried out by scheduler using a deadline priority based scheduling algorithm. Users are scheduled with a different job based on their priority level such as low, medium, and high. In the second layer, role based policy is developed for finding and eliminating the accessing of unauthorized users. The third layer is used for securing medical database. Medical database is secured from various through encrypting the data using XOR cryptography algorithm. The proposed architecture is validated using some of the metrics such as turnaround time, tardiness, actual time delay, and throughput. The turnaround time, tardiness, and actual‐time delay attains for the proposed architecture are 64.60, 4.90, and 1.52 seconds, respectively. Then, the throughput value reaches for 25 bits length of encryption is 0.88 Mbps. The simulation analysis reveals that the proposed architecture reduces the waiting time of users and improves medical data security.

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Section: Introductionmentioning

confidence: 99%

“…In ontology‐based grid computing, it runs the facts of security as well as data access control. Classical security based on phase computing is authentication, data integrity, private communication, and access control 7 . These defenses are in general use and are suitable for the grid environment without major modifications.…”

Section: Introductionmentioning

confidence: 99%

Ontology‐based data access control model supported with grid computing for improving security in healthcare data

Kiran

Nalini²

2022

Trans Emerging Tel Tech

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“…The important prerequisite required for such integration is an ontology description, since each domain type has its own knowledge representation and integration of those might be controlled on the base of their ontology description. Role and necessity of ontologies usage in geophysical sciences have been demonstrated in the papers of Athanasis et al (2009), Bogdanović, Stanimirović & Stoimenov (2015, Brodaric, Fox & McGuinness (2009), Husain et al (2011 and Lutz et al (2009).…”

Section: Introductionmentioning

confidence: 99%

Virtual Research Environment for Regional Climatic Processes Analysis: Ontological Approach to Spatial Data Systematization

Bart

Фазлиев

Гордов

et al. 2018

Data Science Journal

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This paper describes a Virtual Research Environment (VRE) based on a web GIS platform ' Climate+', which provides an access to analytic instruments processing 19 collections of meteorological and climate data of several international organizations. This environment provides systematization of spatial data and related climate information and allows a user getting analysis results using geoinformation technologies. The ontology approach to this systematization is described, making it possible to match semantics of meteorological and climate parameters presented in different collections and used in solving various applied problems.

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Integration of a geo-ontology-based knowledge model and spatial analysis into emergency response for geologic hazards

Liu

Liu³

et al. 2021

Nat Hazards

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Ontology based policy interoperability in geo-spatial domain

Cited by 8 publications

References 5 publications

Ontology‐based data access control model supported with grid computing for improving security in healthcare data

Ontology‐based data access control model supported with grid computing for improving security in healthcare data

Virtual Research Environment for Regional Climatic Processes Analysis: Ontological Approach to Spatial Data Systematization

Integration of a geo-ontology-based knowledge model and spatial analysis into emergency response for geologic hazards

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