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Modeling Decentralized Reputation-Based Trust for Initial Transactions in Digital Environments.

, , and . ACM Trans. Internet Techn., 12 (3): 8:1-8:35 (2013)

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Are the most popular users always trustworthy? The case of Yelp., and . Electron. Commer. Res. Appl., (2016)Exploiting the Error Correction Mechanism in QR Codes for Secret Sharing., , , , , and . ACISP (1), volume 9722 of Lecture Notes in Computer Science, page 409-425. Springer, (2016)Identifying malicious web domains using machine learning techniques with online credibility and performance data., , , , and . CEC, page 5186-5194. IEEE, (2016)Design of a Technology-Enhanced Pedagogical Framework for a Systems and Networking Administration course incorporating a Virtual Laboratory., , , , , , and . FIE, page 1-5. IEEE, (2018)Determining Trustworthiness and Quality of Mobile Applications., , and . MOBILWARE, volume 65 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 192-206. Springer, (2012)Malicious Web Domain Identification using Online Credibility and Performance Data by Considering the Class Imbalance Issue., , , , and . CoRR, (2018)Modeling Decentralized Reputation-Based Trust for Initial Transactions in Digital Environments., , and . ACM Trans. Internet Techn., 12 (3): 8:1-8:35 (2013)A distributed mechanism for secure collaboration in digital ecosystems., , and . MEDES, page 33-39. ACM, (2011)TIDE: measuring and evaluating trustworthiness and credibility of enterprises in digital ecosystem., , and . MEDES, page 9-16. ACM, (2011)A survey on the usability and effectiveness of web-based trust rating systems., , and . ICIS, page 455-460. IEEE Computer Society, (2013)