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Security Evaluation of a Banking Fraud Analysis System by Michele Carminati; Mario Polino; Andrea Continella; Andrea Lanzi; Federico Maggi; Stefano Zanero is a Computer Science article available to read on EtoBox.

What is Security Evaluation of a Banking Fraud Analysis System about?

The significant growth of banking fraud, fueled by the underground economy of malware, has raised the need for effective detection systems. Therefore, in the last few years, banks have upgraded their security to protect transactions from fraud. State-of-the-art solutions detect fraud as deviations from customers’ spending habits. To the best of our knowledge, almost all existing approaches do not provide an in-depth model’s granularity and security analysis against elusive attacks. In this article, we examine Banksealer, a decision support system for banking fraud analysis that evaluates the influence on detection performance of the granularity at which spending habits are modeled and its security against evasive attacks. First, we compare user-centric modeling, which builds a model for each user, with system-centric modeling, which builds a model for the entire system, from the point of view of detection performance. Then, we assess the robustness of Banksealer against malicious attackers that are aware of the structure of the models in use. To this end, we design and implement a proof-of-concept attack tool that performs mimicry attacks, emulating a sophisticated attacker that cl

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Author

Michele Carminati; Mario Polino; Andrea Continella; Andrea Lanzi; Federico Maggi; Stefano Zanero

Publisher

ACM

Published

2018

Language

EN

Field

Computer Science (Physical Sciences)