FIST: A Structured Threat Modeling Framework for Fraud Incidents
Fuente:
arXiv
Saved in:
| Main Authors: | Dai, Yu-Chen, Chen, Lu-An, Her, Sy-Jye, Jiang, Yu-Xian |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Ransomware IR Model: Proactive Threat Intelligence-Based Incident Response Strategy
by: Lai, Anthony Cheuk Tung, et al.
Published: (2025)
by: Lai, Anthony Cheuk Tung, et al.
Published: (2025)
Unveiling the Attribute Misbinding Threat in Identity-Preserving Models
by: Fu, Junming, et al.
Published: (2025)
by: Fu, Junming, et al.
Published: (2025)
A Mixed-Methods Study of Open-Source Software Maintainers On Vulnerability Management and Platform Security Features
by: Ayala, Jessy, et al.
Published: (2024)
by: Ayala, Jessy, et al.
Published: (2024)
Investigating Vulnerability Disclosures in Open-Source Software Using Bug Bounty Reports and Security Advisories
by: Ayala, Jessy, et al.
Published: (2025)
by: Ayala, Jessy, et al.
Published: (2025)
PTMF: A Privacy Threat Modeling Framework for IoT with Expert-Driven Threat Propagation Analysis
by: Alalade, Emmanuel Dare, et al.
Published: (2025)
by: Alalade, Emmanuel Dare, et al.
Published: (2025)
Using LLMs to Automate Threat Intelligence Analysis Workflows in Security Operation Centers
by: Tseng, PeiYu, et al.
Published: (2024)
by: Tseng, PeiYu, et al.
Published: (2024)
The Shadow of Fraud: The Emerging Danger of AI-powered Social Engineering and its Possible Cure
by: Yu, Jingru, et al.
Published: (2024)
by: Yu, Jingru, et al.
Published: (2024)
Foe for Fraud: Transferable Adversarial Attacks in Credit Card Fraud Detection
by: Fok, Jan Lum, et al.
Published: (2025)
by: Fok, Jan Lum, et al.
Published: (2025)
Why Neural Structural Obfuscation Can't Kill White-Box Watermarks for Good!
by: Jiang, Yanna, et al.
Published: (2026)
by: Jiang, Yanna, et al.
Published: (2026)
ThreatPilot: Attack-Driven Threat Intelligence Extraction
by: Xu, Ming, et al.
Published: (2024)
by: Xu, Ming, et al.
Published: (2024)
IRCopilot: Automated Incident Response with Large Language Models
by: Lin, Xihuan, et al.
Published: (2025)
by: Lin, Xihuan, et al.
Published: (2025)
Advancing Autonomous Incident Response: Leveraging LLMs and Cyber Threat Intelligence
by: Tellache, Amine, et al.
Published: (2025)
by: Tellache, Amine, et al.
Published: (2025)
Unique Security and Privacy Threats of Large Language Models: A Comprehensive Survey
by: Wang, Shang, et al.
Published: (2024)
by: Wang, Shang, et al.
Published: (2024)
SQL Injection Jailbreak: A Structural Disaster of Large Language Models
by: Zhao, Jiawei, et al.
Published: (2024)
by: Zhao, Jiawei, et al.
Published: (2024)
Threat Me Right: A Human HARMS Threat Model for Technical Systems
by: Turk, Kieron Ivy, et al.
Published: (2025)
by: Turk, Kieron Ivy, et al.
Published: (2025)
A LINDDUN-based Privacy Threat Modeling Framework for GenAI
by: Liao, Qianying, et al.
Published: (2026)
by: Liao, Qianying, et al.
Published: (2026)
Backdoor Threats in Variational Quantum Circuits: Taxonomy, Attacks, and Defenses
by: Jiang, Lei, et al.
Published: (2026)
by: Jiang, Lei, et al.
Published: (2026)
The Security Threat of Compressed Projectors in Large Vision-Language Models
by: Zhang, Yudong, et al.
Published: (2025)
by: Zhang, Yudong, et al.
Published: (2025)
UEFI Memory Forensics: A Framework for UEFI Threat Analysis
by: Segal, Kalanit Suzan, et al.
Published: (2025)
by: Segal, Kalanit Suzan, et al.
Published: (2025)
A Threat Intelligence Event Extraction Conceptual Model for Cyber Threat Intelligence Feeds
by: Al-Yasiri, Jamal H., et al.
Published: (2025)
by: Al-Yasiri, Jamal H., et al.
Published: (2025)
Cybersecurity for Modern Smart Grid against Emerging Threats
by: Mashima, Daisuke, et al.
Published: (2024)
by: Mashima, Daisuke, et al.
Published: (2024)
Is the Digital Forensics and Incident Response Pipeline Ready for Text-Based Threats in LLM Era?
by: Bhandarkar, Avanti, et al.
Published: (2024)
by: Bhandarkar, Avanti, et al.
Published: (2024)
Enabling Privacy-Preserving Cyber Threat Detection with Federated Learning
by: Bi, Yu, et al.
Published: (2024)
by: Bi, Yu, et al.
Published: (2024)
LLM-Assisted Authentication and Fraud Detection
by: Chan, Emunah S-S., et al.
Published: (2026)
by: Chan, Emunah S-S., et al.
Published: (2026)
TabSec: A Collaborative Framework for Novel Insider Threat Detection
by: Huang, Zilin, et al.
Published: (2024)
by: Huang, Zilin, et al.
Published: (2024)
ThreatGPT: An Agentic AI Framework for Enhancing Public Safety through Threat Modeling
by: Zisad, Sharif Noor, et al.
Published: (2025)
by: Zisad, Sharif Noor, et al.
Published: (2025)
Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors
by: Choi, Jinhyeok, et al.
Published: (2024)
by: Choi, Jinhyeok, et al.
Published: (2024)
CyberThreat-Eval: Can Large Language Models Automate Real-World Threat Research?
by: Chen, Xiangsen, et al.
Published: (2026)
by: Chen, Xiangsen, et al.
Published: (2026)
Automated Post-Incident Policy Gap Analysis via Threat-Informed Evidence Mapping using Large Language Models
by: Oh, Huan Lin, et al.
Published: (2026)
by: Oh, Huan Lin, et al.
Published: (2026)
Location Privacy Threats and Protections in 6G Vehicular Networks: A Comprehensive Review
by: Ma, Baihe, et al.
Published: (2023)
by: Ma, Baihe, et al.
Published: (2023)
FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations
by: Shuster, Shaun, et al.
Published: (2025)
by: Shuster, Shaun, et al.
Published: (2025)
Modern DDoS Threats and Countermeasures: Insights into Emerging Attacks and Detection Strategies
by: Wang, Jincheng, et al.
Published: (2025)
by: Wang, Jincheng, et al.
Published: (2025)
A Practical Honeypot-Based Threat Intelligence Framework for Cyber Defence in the Cloud
by: Chin, Darren Malvern, et al.
Published: (2025)
by: Chin, Darren Malvern, et al.
Published: (2025)
TDML -- A Trustworthy Distributed Machine Learning Framework
by: Wang, Zhen, et al.
Published: (2024)
by: Wang, Zhen, et al.
Published: (2024)
Evidence-Based Threat Modeling for ICS
by: Ozkan, Can, et al.
Published: (2024)
by: Ozkan, Can, et al.
Published: (2024)
Benchmarking Fraud Detectors on Private Graph Data
by: Goldberg, Alexander, et al.
Published: (2025)
by: Goldberg, Alexander, et al.
Published: (2025)
FraudFox: Adaptable Fraud Detection in the Real World
by: Butler, Matthew, et al.
Published: (2026)
by: Butler, Matthew, et al.
Published: (2026)
Winemaking: Extracting Essential Insights for Efficient Threat Detection in Audit Logs
by: Wu, Weiheng, et al.
Published: (2024)
by: Wu, Weiheng, et al.
Published: (2024)
Benchmarking LLMs in an Embodied Environment for Blue Team Threat Hunting
by: Liu, Xiaoqun, et al.
Published: (2025)
by: Liu, Xiaoqun, et al.
Published: (2025)
An Automated Attack Investigation Approach Leveraging Threat-Knowledge-Augmented Large Language Models
by: Dai, Rujie, et al.
Published: (2025)
by: Dai, Rujie, et al.
Published: (2025)
Similar Items
-
Ransomware IR Model: Proactive Threat Intelligence-Based Incident Response Strategy
by: Lai, Anthony Cheuk Tung, et al.
Published: (2025) -
Unveiling the Attribute Misbinding Threat in Identity-Preserving Models
by: Fu, Junming, et al.
Published: (2025) -
A Mixed-Methods Study of Open-Source Software Maintainers On Vulnerability Management and Platform Security Features
by: Ayala, Jessy, et al.
Published: (2024) -
Investigating Vulnerability Disclosures in Open-Source Software Using Bug Bounty Reports and Security Advisories
by: Ayala, Jessy, et al.
Published: (2025) -
PTMF: A Privacy Threat Modeling Framework for IoT with Expert-Driven Threat Propagation Analysis
by: Alalade, Emmanuel Dare, et al.
Published: (2025)