Multi-Context Trust Aware Routing For Internet of Things

Gali, Sowmya; Nidumolu, Venkatram

doi:10.22266/ijies2019.0228.19

Cited by 9 publications

(6 citation statements)

References 20 publications

(26 reference statements)

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“…In this section, it can be discussed the details of performance metrics such as Malicious Detection Rate (MDR), False Positive Rate (FPR), False Negative Rate (FNR), Average Energy Consumption (AEC) and Packet Delivery Ratio (PDR). For every performance metric, the proposed method is compared with existing methods such as MCTAR-IOT [20], and CITM-IOT [19]. Figure 1 shows the MDR variations with varying malicious nature.…”

Section: B Results and Discussionmentioning

confidence: 99%

“…But, this approach did not discuss about the energy preservation and also accomplished as cooperative communication between the cluster nodes by which the energy consumption will increase greatly. Recently, G. Sowmya and N. Venkatram proposed a Multi-Context Trust Aware Routing (MCTAR) for IoT [20]. This is a secure and composite routing which considered multiple factors for trust evaluation.…”

Section: Light Weight Clustered Trust Sensing Mechanism For Internet ...mentioning

confidence: 99%

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International Journal of Electronics and Telecommunications

Prasad M,

Reddy D

2021

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Internet of Things (IoT) is the new research paradigm which has gained a great significance due to its widespread applicability in diverse fields. Due to the open nature of communication and control, the IoT network is more susceptible to several security threats. Hence the IoT network requires a trust aware mechanism which can identify and isolate the malicious nodes. Trust Sensing has been playing a significant role in dealing with security issue in IoT. A novel a Light Weight Clustered Trust Sensing (LWCTS) model is developed which ensures a secured and qualitative data transmission in the IoT network. Simulation experiments are conducted over the proposed model and the performance is compared with existing models. The obtained results prove the effectiveness when compared with existing approaches.

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Section: B Results and Discussionmentioning

confidence: 99%

Section: Light Weight Clustered Trust Sensing Mechanism For Internet ...mentioning

confidence: 99%

International Journal of Electronics and Telecommunications

Prasad M,

Reddy D

2021

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“…Various research groups work on a trust management environment in a cloud computing environment. Qi et al [20] perform an extensive review with trust requirements over the cloud system regarding privacy and security. The service providers need to take the necessary actions to improve the trust over the services and the providers.…”

Section: Related Workmentioning

confidence: 99%

Design of an Efficient Trustful-Lightweight Cloud Service Provisioning Model using Service Optimizer

Pawar¹,

Yalla²

2022

EAI Endorsed Transactions on Cloud Systems

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INTRODUCTION:The establishment of trusted cloud services pretends to provide high impactful service with better satisfaction to the web-users and cloud service providers. Moreover, various existing trust-aware algorithms use diverse QoS measurements and related attributes, leading to the complex selection of cloud services. OBJECTIVES: Thus, this research intends to propose a Trustful-Lightweight Cloud Service Provisioning algorithm (TL-CSP) using Service Optimizer (SO). METHODS: Initially, the QoS metrics are determined by evaluating attributes based on a ranking method based on the users' requests. It is performed with the computation of weighted coefficients of received requests from the users. The service optimization is performed using a global optimizer to assist the cloud users in selecting the service with better satisfaction. RESULTS: The proposed TL-CSP accuracy is validated and compared with the existing cloud service provisioning algorithm to measure the proposed model's efficiency. CONCLUSION: The simulation is carried out in a MATLAB environment. The proposed TL-CSP intends to shows a better trade-off in contrast to prevailing approaches.

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“…It is preliminarily a backup approach, like the approach mentioned above stated by Guo et al [18]. Yadav et al [20] discuss a scheduling algorithm named as dynamically merged task scheduling process. This model is the modified version of the breadth-first search process to predict the complete optimal functionality of VM for every task.…”

Section: Related Workmentioning

confidence: 99%

Modelling an Efficient Three-Tier Fault Tolerance Approach for Resource Provisioning over Cloud

Pawar¹,

Yalla²

2022

EAI Endorsed Transactions on Cloud Systems

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INTRODUCTION: Nowadays, the cloud computing paradigm encounters newer challenges in offering fault tolerance methods during service provisioning. The failures during service provisioning are unavoidable in the large-scale heterogeneous network. Therefore, the adoption of appropriate fault tolerance techniques can improve the provided service's efficiency and reliability. OBJECTIVES: Thus, fault tolerating metrics give better accuracy to enhance the QoS, where the three-tier fault-tolerance approach is proposed to resolve the various failures in service provisioning. METHODS: Initially, a Collector Model collects the request and ranks it based on the service to be provided. Secondly, the redundancy filter module is designed to filter out the request replication and avoid the unnecessary process to be carried out. Finally, the fairness resource allocation module is designed to perform the prominent request received from the users based on the available resources without service congestion. RESULTS: This three-tier model operates concurrently to handle the multiple requests from the users of various connected nodes. The experimental analysis demonstrates that the three-tier fault tolerance model can enhance the cloud reliability over the large-scale heterogeneous network by ensuring QoS. CONCLUSION: The well-realized fault tolerance approach can efficiently demonstrate the structural model and fault tolerance process over the computing environment, therefore enhancing the cloud extendibility. Moreover, the computing environment's failure is hugely complex, and failure has to be handled efficiently.

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Multi-Context Trust Aware Routing For Internet of Things

Cited by 9 publications

References 20 publications

International Journal of Electronics and Telecommunications

International Journal of Electronics and Telecommunications

Design of an Efficient Trustful-Lightweight Cloud Service Provisioning Model using Service Optimizer

Modelling an Efficient Three-Tier Fault Tolerance Approach for Resource Provisioning over Cloud

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