A robust ensemble-based trust and reputation system against different types of intruder attacks

Seo, Jiwan; Choi, Seungjin; Kim, Mucheol; Han, Sang‐Min

doi:10.1080/00207160.2014.944693

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…In general, the concepts of reputation and trust may look similar but they are fundamentally different in the way they work. Reputation is formed based on the word-of-mouth (WoM) mechanism [16]. As depicted in Figure 1a, evaluations of every person who has done transactions with the target can influence on target's reputation.…”

Section: Introductionmentioning

confidence: 99%

A Model for Deriving Trust and Reputation on Blockchain-Based e-Payment System

et al. 2019

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E-commerce has become a crucial part of our life allowing us to buy products, request services, and transfer money easily with a press of a button. As such, establishing immutable trust and reputation of entities that are resilient to manipulation by the malicious are critical in today's online systems. In this work, we propose a model for calculating trust and reputation using the values stored on blockchain ledger. The model is applied to blockchain-based online payment systems which have a characteristic of immutability by preventing data manipulation. The model normalizes user evaluations based on each user's personal evaluation criteria that changes over time.In addition, the model derives reputation of, and trust between, users by applying psychological factors. We evaluate our model using not only simulated transaction data but also on real Bitcoin transaction-based dataset to show that our model is able to derive stable values from immutable transactions on blockchain-based online payment systems. Our model has been built into a live commercial blockchain service platform, and new application developments are underway.

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Section: Introductionmentioning

confidence: 99%

A Model for Deriving Trust and Reputation on Blockchain-Based e-Payment System

et al. 2019

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“…The fifth paper by Seo et al [6] focuses on the problem of protecting the Trust and Reputation Systems (TRS) from various types of attacks. A new TRS that combines several detectors in parallel is proposed, in order to identify and mitigate the attacks using the ensemble combination and fuzzy theory.…”

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confidence: 99%