Securing Database Integrity in Intelligent Government Systems that Employ Fog Computing Technology

Panda, Brajendra; Alazeb, Abdulwahab

doi:10.1109/cds49703.2020.00048

Cited by 2 publications

(4 citation statements)

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“…To the best of our knowledge, no schemes have been developed to address damage assessment and data recovery in the context of fog computing. The first works to address such issues in fog computing were presented in [1,14,34]. Authors of these proposed schemes scanned entire log files beginning with the onset of the attack.…”

Section: Data Integrity In Fog Computingmentioning

confidence: 99%

“…In [34], the authors proposed a fog computing-based novel approach to secure database integrity in intelligent government systems. In this approach the authors used a fog computing paradigm to secure communications among all a system's entities.…”

Section: Data Integrity In Fog Computingmentioning

confidence: 99%

“…In previous work [34], we proposed a scheme using a unique private distributed fog computing architecture to manage important data for an intelligent county government system. We also introduced a cooperative method for identifying damaged and affected transactions following a malicious attack.…”

Section: Proposed Schemementioning

confidence: 99%

“…We also introduced a cooperative method for identifying damaged and affected transactions following a malicious attack. In this paper we propose two unique models to manage the data in a healthcare environment system that uses fog computing: one model for private fog computing distribution which uses the same technique as [34] and the other model for public and mixed fog computing distribution.…”

Section: Proposed Schemementioning

confidence: 99%

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Data Integrity Preservation Schemes in Smart Healthcare Systems That Use Fog Computing Distribution

et al. 2021

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The volume of data generated worldwide is rapidly growing. Cloud computing, fog computing, and the Internet of Things (IoT) technologies have been adapted to compute and process this high data volume. In coming years information technology will enable extensive developments in the field of healthcare and offer health care providers and patients broadened opportunities to enhance their healthcare experiences and services owing to heightened availability and enriched services through real-time data exchange. As promising as these technological innovations are, security issues such as data integrity and data consistency remain widely unaddressed. Therefore, it is important to engineer a solution to these issues. Developing a damage assessment and recovery control model for fog computing is critical. This paper proposes two models for using fog computing in healthcare: one for private fog computing distribution and one for public fog computing distribution. For each model, we propose a unique scheme to assess the damage caused by malicious attack, to accurately identify affected transactions and recover damaged data if needed. A transaction-dependency graph technique is used for both models to observe and monitor all transactions in the whole system. We conducted a simulation study to assess the applicability and efficacy of the proposed models. The evaluation rendered these models practicable and effective.

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Section: Data Integrity In Fog Computingmentioning

confidence: 99%

Section: Data Integrity In Fog Computingmentioning

confidence: 99%

Section: Proposed Schemementioning

confidence: 99%

Section: Proposed Schemementioning

confidence: 99%

See 2 more Smart Citations