Journal of Information Systems Engineering and Management

Reputation Systems: A framework for attacks and frauds classification
Rui Humberto Pereira 1 * , Maria José Gonçalves 2, Marta Alexandra Guerra Magalhães 3
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1 CEOS.PP/ University of Maia, 4475-690 Maia, Porto, Portugal
2 CEOS.PP, ISCAP, Polytechnic of Porto, 4465-004 Mamede Infesta, Porto, Portugal
3 ISCAP, Polytechnic of Porto, 4465-004 Mamede Infesta, Porto, Portugal
* Corresponding Author
Literature Review

Journal of Information Systems Engineering and Management, 2023 - Volume 8 Issue 1, Article No: 19218
https://doi.org/10.55267/iadt.07.12830

Published Online: 14 Jan 2023

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How to cite this article
APA 6th edition
In-text citation: (Pereira et al., 2023)
Reference: Pereira, R. H., Gonçalves, M. J., & Magalhães, M. A. G. (2023). Reputation Systems: A framework for attacks and frauds classification. Journal of Information Systems Engineering and Management, 8(1), 19218. https://doi.org/10.55267/iadt.07.12830
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Pereira RH, Gonçalves MJ, Magalhães MAG. Reputation Systems: A framework for attacks and frauds classification. J INFORM SYSTEMS ENG. 2023;8(1):19218. https://doi.org/10.55267/iadt.07.12830
AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: Pereira RH, Gonçalves MJ, Magalhães MAG. Reputation Systems: A framework for attacks and frauds classification. J INFORM SYSTEMS ENG. 2023;8(1), 19218. https://doi.org/10.55267/iadt.07.12830
Chicago
In-text citation: (Pereira et al., 2023)
Reference: Pereira, Rui Humberto, Maria José Gonçalves, and Marta Alexandra Guerra Magalhães. "Reputation Systems: A framework for attacks and frauds classification". Journal of Information Systems Engineering and Management 2023 8 no. 1 (2023): 19218. https://doi.org/10.55267/iadt.07.12830
Harvard
In-text citation: (Pereira et al., 2023)
Reference: Pereira, R. H., Gonçalves, M. J., and Magalhães, M. A. G. (2023). Reputation Systems: A framework for attacks and frauds classification. Journal of Information Systems Engineering and Management, 8(1), 19218. https://doi.org/10.55267/iadt.07.12830
MLA
In-text citation: (Pereira et al., 2023)
Reference: Pereira, Rui Humberto et al. "Reputation Systems: A framework for attacks and frauds classification". Journal of Information Systems Engineering and Management, vol. 8, no. 1, 2023, 19218. https://doi.org/10.55267/iadt.07.12830
ABSTRACT
Reputation and recommending systems have been widely used in e-commerce, as well as online collaborative networks, P2P networks and many other contexts, in order to provide trust to the participants involved in the online interaction. Based on a reputation score, the e-commerce user feels a sense of security, leading the person to trust or not when buying or selling. However, these systems may give the user a false sense of security due to their gaps. This article discusses the limitations of the current reputation systems in terms of models to determine the reputation score of the users. We intend to contribute to the knowledge in this field by providing a systematic overview of the main types of attack and fraud found in those systems, proposing a novel framework of classification based on a matrix of attributes. We believe such a framework could help analyse new types of attacks and fraud. Our work was based on a systematic literature review methodology.
KEYWORDS
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