A Framework for Trusted Services

Silva, Icamaan da; Zisman, Andrea

doi:10.1007/978-3-642-34321-6_22

Cited by 7 publications

(5 citation statements)

References 23 publications

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“…There is also another type of works that aims to optimize the services discovery protocols using QoS or more specifically based on the trust to servers that respond to the client request, this trust is assessed through a set of parameters such as energy, response time and mobility of servers. Among these works we find [1], [2], [3], [4], [5] and [6].…”

Section: Related Workmentioning

confidence: 99%

Cross-Layer Routing Based on Semantic Web Services Discovery with Energy Evaluation and Optimization in MANET

Ayad

Kazar

Benharkat³

et al. 2022

Int. j. commun. netw. inf. secur.

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The web services discovery process in mobile adhoc networks is considered as a very difficult challenge due to the continuous change in the topology of the network and also the lack of a fixed central directory for publishing web services. Several approaches have been proposed which are based on either keywords or identifiers representing the service to be searched or by using a specific scenario of discovery. All of those proposed solutions try to respect the constraints of ad hoc networks such as energy, bandwidth, throughput ... etc. In this paper we present our new proposed model for measuring the cost of the overall energy consumption in ad hoc networks depending on the web services discovery protocols. We also present a new optimized web services discovery protocol in MANET based on cross_layer routing techniques with the dissemination in the routing process at the same time the semantic web services information and a Discovery_Diameter parameter that we have proposed to limit the area of discovery in the network. Finally, we present simulation results of our defined approach showing a significant optimization of the energy consumption level and the average throughput.

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Section: Related Workmentioning

confidence: 99%

Cross-Layer Routing Based on Semantic Web Services Discovery with Energy Evaluation and Optimization in MANET

Ayad

Kazar

Benharkat³

et al. 2022

Int. j. commun. netw. inf. secur.

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“…The expertise-based component evaluating trust between agents and services lacks social features, as for example relationships between users to make a significant assessment. To address that, Da Silva and Zisman [17] proposed a trust model that takes into account different levels of trust among users, different relationships between users, and different degrees of importance that a user may have for certain QoS attributes. Some other works [6,32,38,45] have investigated social network analysis techniques to evaluate the trust in sociability an agent may have in a provider.…”

Section: 2mentioning

confidence: 99%

A Multi-Agent Approach for Trust-based Service Discovery and Selection in Social Networks

Louati¹,

Haddad²,

Pinson³

2016

SCPE

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Service discovery and selection approaches are often done using a centralized registry-based technique, which only captures common Quality of Service criteria. With more and more services offered via social networks, these approaches are not able to evaluate trust in service providers and often fail to comply with new requester's expectations. This is because theses approaches are not able (i) to take into consideration the social dimension and (ii) to capitalize on information resulting from previous experiences. To address these challenges, we propose the use of multi-agent systems as they have demonstrated the capability to use previous interactions, knowledge representation and distributed reasoning, as well as social metaphors like trust. More precisely, in this paper, we enhance service discovery and selection processes by integrating the societal view in trust modeling. Based on relationships between agents, their previous experiences and extracted information from social network, we define a trust model built upon social, expert and recommender-based components. The social-based component judges whether the provider is worthwhile pursuing before using his services (viz. trust in sociability). The expert-based component estimates whether the service behaves well and as expected (viz. trust in expertise). The recommender-based component assesses for an agent whether one's can rely on its recommendations (viz. trust in recommendation). However, when searching for a service in a social network, agents (service requester and service providers) may have no direct interactions or previous experiences. This requires a method to infer trust between them. Based on a probabilistic model, we estimate trust between non adjacent agents while taking into account roles (recommender or provider) of intermediate agents. Moreover, we propose a distributed algorithm for trustworthy service discovery and selection using referral systems in social networks. Experiments demonstrate that our approach is effective and outperforms existing ones, and can deliver more trustworthy results.

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“…We consider the trust management schemes presented in [11], [16], [17] for establishing trust in our system. This is efficient in not only giving trust information of each and every server but also efficiently discover the malicious behavior of a server.…”

Section: Trust Based Service Discovery Modelmentioning

confidence: 99%

Trust Based Service Discovery in Mobile Ad-Hoc Networks

Bhumika¹,

Zaveri²,

Rath³

2015

LNSE

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Abstract-Wireless mobile ad-hoc network (MANET) is a self-configuring network, which is composed of several movable devices connected with each other without wires. MANET is highly dynamic, multi-hop, and infrastructure-less in nature. In this dynamic environment, different nodes offering different services may enter and leave the network at any time. For better utilization of shared resources within the network, efficient and timely service discovery is required. Not only that, trustworthiness of the service provider is also an important thing to be considered, as all the devices are unknown to each other and network is formed on the fly basis. There is a need for a mechanism, which without creating much overhead in the system identifies the malicious behavior of a device. In our proposed approach service discovery mechanism is developed that efficiently discovers all the services within the network with minimum packet overhead as possible and trust model is applied on top of it for service selection. We have also conducted extensive simulations through QualNet and analyzed the performance of our proposed scheme.Index Terms-Ad-hoc networks, cross layer, service discovery, trust.

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A Framework for Trusted Services

Cited by 7 publications

References 23 publications

Cross-Layer Routing Based on Semantic Web Services Discovery with Energy Evaluation and Optimization in MANET

Cross-Layer Routing Based on Semantic Web Services Discovery with Energy Evaluation and Optimization in MANET

A Multi-Agent Approach for Trust-based Service Discovery and Selection in Social Networks

Trust Based Service Discovery in Mobile Ad-Hoc Networks

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