Yi Han, Shujiang Wu, Mengmeng Li, Zixi Wang, and Pengfei Sun (F5)

Online fraud has emerged as a formidable challenge in the digital age, presenting a serious threat to individuals and organizations worldwide. Characterized by its ever-evolving nature, this type of fraud capitalizes on the rapid development of Internet technologies and the increasing digitization of financial transactions. In this paper, we address the critical need to understand and combat online fraud by conducting an unprecedented analysis based on extensive real-world transaction data.

Our study involves a multi-angle, multi-platform examination of fraudsters' approaches, behaviors and intentions. The findings of our study are significant, offering detailed insights into the characteristics, patterns and methods of online fraudulent activities and providing a clear picture of the current landscape of digital deception. To the best of our knowledge, we are the first to conduct such large-scale measurements using industrial-level real-world online transaction data.

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NinjaDoH: A Censorship-Resistant Moving Target DoH Server Using Hyperscalers...

Scott Seidenberger (University of Oklahoma), Marc Beret (University of Oklahoma), Raveen Wijewickrama (University of Texas at San Antonio), Murtuza Jadliwala (University of Texas at San Antonio), Anindya Maiti (University of Oklahoma)

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Wait, What Does a SOC Do?

Joe Nehila, Drew Walsh (Deloitte And Touche)

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Work-in-progress: JaVulIn: Scalable Vulnerability Injection for JavaScript Web Applications

Dominic Troppmann (CISPA Helmholtz Center for Information Security), Cristian-Alexandru Staicu (Endor Labs), Aurore Fass (Inria Centre at Université Côte d’Azur)

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