ORCID Profile
0000-0002-4993-8281
Current Organisation
Birmingham City University
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Publisher: IEEE
Date: 05-2019
Publisher: Institution of Engineering and Technology (IET)
Date: 08-2013
Publisher: IEEE
Date: 05-2022
Publisher: IEEE
Date: 02-2018
Publisher: IEEE
Date: 05-2018
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: Gyancity Research Consultancy
Date: 30-01-2018
Publisher: Institution of Engineering and Technology (IET)
Date: 2012
Publisher: MDPI AG
Date: 21-06-2022
DOI: 10.3390/ELECTRONICS11131932
Abstract: In this paper, we propose a novel trust computation framework (TCF) for cloud services. Trust is computed by taking into consideration multi-dimensional quality of service (QoS) evidence and user feedback. Feedback provides le evidence regarding the quality of experience (QoE) of cloud service users. However, in some cases, users may behave maliciously and report false feedback. Users can carry out collusion and Sybil attacks to slander/self-promote cloud services. Trust computed in such cases could be misleading and inaccurate. Evaluating the credibility of user feedback can help in not only preventing the collusion and Sybil attacks but also remunerating the affected cloud services. Despite the advantages of credibility evaluation, very few studies take into consideration feedback credibility and multi-dimensional evaluation criteria. Considering the limitations of existing studies, we propose a new TCF in which trust is computed by aggregating multi-dimensional evidence from QoS and QoE. We have used multi-dimensional QoS attributes to compute the objective trust of cloud services. The QoS attributes are ided into three dimensions, i.e., node profile, average resource consumption, and performance. The node profile of a cloud service is attributed to CPU frequency, memory size, and hard disk capacity. The average resource consumption is quantified based on the current CPU utilisation rate, current memory utilisation rate, current hard disk utilisation rate, and energy consumption. Moreover, the performance of a cloud service is measured by the average response time and task success ratio. Besides that, the credibility of feedback is evaluated to prevent the malicious behaviour of cloud users. Our results demonstrate the effectiveness of our proposed TCF in computing accurate trust in cloud services.
Publisher: Institution of Engineering and Technology (IET)
Date: 12-2013
Publisher: Medknow
Date: 2012
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: University of Debrecen/ Debreceni Egyetem
Date: 07-10-2020
DOI: 10.17667/RIIM.2018.SI/19.
Abstract: Sensor applications and wireless sensor networks (WSNs) are becoming a part of our everyday life. A number of network arrangements are used in WSN. In this paper, we focus on the cluster based network to help identify the issues associated with communication within such networks. We present a lightweight multi-agent routing framework for a cluster based WSN to resolve some issues associated with such networks. By using state- of-art protocol in a unique combination and categorizing cluster layers, we take full advantage of the properties of the selected protocols. The simulation results illustrate that the proposed method is light-weight in terms of energy consumption by the sensor nodes communicating information within a cluster based network. Nevertheless, high network throughput and robust data communication are also achieved.
Publisher: IEEE
Date: 05-2019
Publisher: Institution of Engineering and Technology (IET)
Date: 2012
Publisher: IEEE
Date: 11-2015
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Imran Ali Jokhio.