COBRA: Context-Aware Bernoulli Neural Networks for Reputation Assessment

Zeynalvand, Leonit; Luo, Tao; Zhang, Jie

doi:10.1609/aaai.v34i05.6225

Cited by 2 publications

(2 citation statements)

References 7 publications

(10 reference statements)

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“…Besides the most basic neural network, more complicated constructions have been implemented in trust management. One such example is the Bernoulli neural network implemented by [86]. In the Bernoulli neural network, there are three layers -the input, hidden and output layer.…”

Section: D: Bernoulli Neural Networkmentioning

confidence: 99%

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On the Trust and Trust Modeling for the Future Fully-Connected Digital World: A Comprehensive Study

Ting¹,

Kang²,

Li³

et al. 2021

IEEE Access

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With the fast development of digital technologies, we are running into a digital world. The relationship among people and the connections among things become more and more complex, and new challenges arise. To tackle these challenges, trust -a soft security mechanism -is considered as a promising technology. Thus, in this survey, we do a comprehensive study on the trust and trust modelling for the future digital world. We revisit the definitions and properties of trust, and analysis the trust theories and discuss their impact on digital trust modelling. We analyze the digital world and its corresponding environment where people, things, and infrastructure connect with each other. We detail the challenges that require trust in these digital scenarios. Under our analysis of trust and the digital world, we define different types of trust relationships and find out the factors that are needed to ensure a fully representative model. Next, to meet the challenges of digital trust modelling, comprehensive trust model evaluation criteria are proposed, and potential securities and privacy issues of trust modelling are analyzed. Finally, we provide a wide-ranging analysis of different methodologies, mathematical theories, and how they can be applied to trust modelling.

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Section: D: Bernoulli Neural Networkmentioning

confidence: 99%

“…A Bernoulli neural network is implemented as part of the trust model in [86]. In the model, advisor agents train models individually, using contextual features, based on past interactions to output a predicted conditional probability about the trustworthiness of the trustee.…”

Section: D: Bernoulli Neural Networkmentioning

confidence: 99%