An Access Control Framework in an Ad Hoc Network Infrastructure

Araghi, Tanya Koohpayeh; Zamani, Mazdak; Manaf, Azizah Abdul; Araghi, Sagheb Kohpayeh

doi:10.1007/978-3-319-07674-4_70

Cited by 9 publications

(2 citation statements)

References 16 publications

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“…Using NaIO 4 , Araghi showed how effective the MnP-POM catalyst is at oxidizing primary and secondary alcohols to carbonyl compounds (Table 1 , F). 12 A variety of primary and secondary alcohols might be easily oxidized by this hybrid catalyst due to its strong reactivity. It demonstrated the anticipated benefits of recyclability and ease of handling for heterogeneous catalysts.…”

Section: Table 1 Recent Applications Of Naiomentioning

confidence: 99%

Sodium Periodate (NaIO4) in Organic Synthesis

Varala,

Dubasi,

Seema

et al. 2023

SynOpen

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Section: Table 1 Recent Applications Of Naiomentioning

confidence: 99%

Sodium Periodate (NaIO4) in Organic Synthesis

Varala,

Dubasi,

Seema

et al. 2023

SynOpen

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“…The trust management mechanism is used to revise the trust into agents that send conflicting information and to detect misbehaviour (M€ uller et al, 2019). The direct trust value is computed based on the rate of successful interaction and total interactions which transmitted with agents (Araghi et al, 2015). Above all, trust can be perceived as a strong decision-support tool; in which, it can separate the reliable information sources from unreliable ones .…”

Section: Introductionmentioning

confidence: 99%

An incorporated RUU model for multi-agent systems in e-commerce

Majd

Hobson

2020

JEIM

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PurposeThe purpose of this paper is to enhance trust in e-commerce multi-agent systems by presenting a model, called RUU, to select the most trustworthy provider agent based on learning from previous interactions and computing reliability, unreliability and uncertainty.Design/methodology/approachThe methodology comprises analyzing the most representative existing trust models, while a new concept was proposed and measured as unreliability. To make decision about the agents, RUU integrated reliability, unreliability and uncertainty components and used the TOPSIS multi-criteria decision method to select the most trustworthy provider agent. To evaluate the RUU model, the experimentation was carried out in two stages. First, the average accuracy of the model was investigated by simulating RUU in a multi-agent environment. Second, the performance of the model was compared with other related trust models.FindingsThe experimental results revealed that RUU model outperforms current models in providing accurate credibility measurements and computing an accurate trust mechanism for agents, also presenting a decision-making process to choose the most trustworthy provider agent.Research limitations/implicationsThe model presented based on different mathematical computations that take time to be calculated, which is a big limitation of computational models.Practical implicationsRUU enables an agent to make effective and sound decisions in light of the uncertainty that exists in e-commerce multi-agent environments.Originality/valueThis paper is beneficial to enhance the fulfilment of purchasing between provider and requester agents. In fact, the proposed model can ensure critical transactions performed securely in e-commerce multi-agent environments.

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