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Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection
This paper tackles transaction fraud detection from a behavioral-sequence embedding angle rather than a pure tabular modeling angle
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Fingerprinting and Tracing Shadows: The Development and Impact of Browser Fingerprinting on Digital Privacy
This paper is a survey-style overview of browser fingerprinting as a tracking and identification technique, with an emphasis on the privacy implications rather than on proposing a new algorithm
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TempCharBERT: Keystroke Dynamics for Continuous Access Control Based on Pre-trained Language Models
TempCharBERT tackles a narrow but important gap in biometrics: how to adapt pre-trained language models to keystroke dynamics, where the signal is not just character identity but timing information…
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Fingerprinting Browsers in Encrypted Communications
This paper asks whether browsers can still be distinguished when all traffic is encrypted with HTTPS over TLS 1.3, using only observable packet/message lengths rather than plaintext HTTP headers or…
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How Unique is Whose Web Browser? The role of demographics in browser fingerprinting among US users
This study tackles limitations in prior research on browser fingerprinting by collecting and publicly releasing a novel dataset that links detailed browser fingerprint attributes with rich user dem…
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A novel TLS-based Fingerprinting approach that combines feature expansion and similarity mapping
This paper tackles a practical weakness in active TLS fingerprinting: as TLS 1.3, CDN termination, and ECH reduce observable variation, hash-based fingerprints such as JARM/JA3 become too coarse an…
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Social Media Bot Policies: Evaluating Passive and Active Enforcement
This paper asks a practical security question: if a malicious actor uses modern multimodal foundation models (MFMs) plus browser automation to operate social-media accounts, do major platforms actu…
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The First Early Evidence of the Use of Browser Fingerprinting for Online Tracking
This paper addresses a major gap in browser fingerprinting research by providing the first empirical evidence that browser fingerprinting is actively used for online user tracking and targeted adve…
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Sybil Detection using Graph Neural Networks
This paper asks whether graph neural networks can do structure-only Sybil detection better than the classic random-walk / belief-propagation family when the attacker adds many attack edges or uses …
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Conceptual Design and Implementation of FIDO2 compatible Smart Card for Decentralized Financial Transaction System
This paper addresses the persistent security and authentication vulnerabilities in current online banking and decentralized financial transaction systems, focusing particularly on phishing, passwor…
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Evaluation Scheme to Analyze Keystroke Dynamics Methods
This paper is not proposing a new keystroke-dynamics classifier; it is trying to make comparison itself more disciplined
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UserBoost: Generating User-specific Synthetic Data for Faster Enrolment into Behavioural Biometric Systems
This work addresses the usability challenge in behavioural biometric authentication systems, specifically reducing the burdensome enrolment phase where users must provide many biometric samples