Trust Assurance in Cloud Services with the Cloud Broker Architecture for Dependability

Abderrahim, Wiem; Choukair, Zièd

doi:10.1109/hpcc-css-icess.2015.162

Cited by 7 publications

(5 citation statements)

References 4 publications

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“…The Cloud Broker Architecture for Dependability [5], Phantom [6], and the A4Cloud FP7 Project [23] are very similar conceptually to this work. The Phantom [6] is most similar in its operations.…”

Section: E Related Workmentioning

confidence: 76%

“…The Phantom [6] is most similar in its operations. However, DBA [5] is concerned with fault detection, fault evaluation and taking decision for recovery or migration as a means for assuring dependability. The main shortcoming of DBA (i.e.…”

Section: E Related Workmentioning

confidence: 99%

“…However, the responsibility of the cloud service providers (CSPs) is often called to question. Literature review shows that these concerns are largely related to the assurance of security [3], [4] and dependability [5], [6], [7] on the cloud.…”

Section: Introductionmentioning

confidence: 99%

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Assuring Dependable Cloud-Based System Engineering: A Cloud Accountability Method

Adjepon-Yamoah

Wen

2016

2016 12th European Dependable Computing Conference (EDCC)

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This work introduces a methodology for cloud accountability that assures system dependability in terms of availability and reliability. This assurance is provided relative to the cloud service level agreement. The presented methodology is guided by the NIST SP800-86 digital forensic model, that motivates the collection, examination and analysis of data from the cloud platform, and the generated evidence including logs and context are reported to appropriate cloud agents. As part of this work, we present a novel approach to collecting digital evidence to support cloud-based system dependability, using the Virtual Machine Introspection (VMI) technique. Our VMI approach complements, as well as checks the dependability metrics provided by the cloud service providers (CSPs) as evidence. This methodology, including the VMI approach is particularly relevant since it provides a means of addressing the perceived lack of trust for cloud-based services towards cloud accountability. Our research focuses on applying an evidence-based methodologycloud accountability method-to cloud-based system engineering for assuring cloud agents of the dependability of cloud platforms.

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Section: E Related Workmentioning

confidence: 76%

Section: E Related Workmentioning

confidence: 99%

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Assuring Dependable Cloud-Based System Engineering: A Cloud Accountability Method

Adjepon-Yamoah

Wen

2016

2016 12th European Dependable Computing Conference (EDCC)

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“…In the literature, many others have approached the Cloud security topic, such as A4Cloud FP7 Project [ 26 ], Cloud Broker Architecture [ 27 ], or Phantom [ 28 ]. Prokhorenko et al even though they address the area of data security and trustworthiness, in order to improve the architectural resilience in Cloud, Fog, and Edge systems, all points of identification, authorization, and authentication are made in the Cloud.…”

Section: Methodsmentioning

confidence: 99%

“…That broker is an intermediate between the customer and supplier, the obligation to negotiate contract terms and the release of tasks not returned to each of the parties. Therefore, they address the fault tolerance area of dependability [ 27 ].…”

Section: Methodsmentioning

confidence: 99%

Method to Increase Dependability in a Cloud-Fog-Edge Environment

Stan

Enyedi

Corches

et al. 2021

Sensors

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Robots can be very different, from humanoids to intelligent self-driving cars or just IoT systems that collect and process local sensors’ information. This paper presents a way to increase dependability for information exchange and processing in systems with Cloud-Fog-Edge architectures. In an ideal interconnected world, the recognized and registered robots must be able to communicate with each other if they are close enough, or through the Fog access points without overloading the Cloud. In essence, the presented work addresses the Edge area and how the devices can communicate in a safe and secure environment using cryptographic methods for structured systems. The presented work emphasizes the importance of security in a system’s dependability and offers a communication mechanism for several robots without overburdening the Cloud. This solution is ideal to be used where various monitoring and control aspects demand extra degrees of safety. The extra private keys employed by this procedure further enhance algorithm complexity, limiting the probability that the method may be broken by brute force or systemic attacks.

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