Cover Image

Is the Digital Forensics and Incident Response Pipeline Ready for Text-Based Threats in LLM Era?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bhandarkar, Avanti, Wilson, Ronald, Swarup, Anushka, Zhu, Mengdi, Woodard, Damon
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Maximizing Relation Extraction Potential: A Data-Centric Study to Unveil Challenges and Opportunities
by: Swarup, Anushka, et al.
Published: (2024)

Bridging minds and machines: Unmasking the limits in text‐based automatic personality recognition for enhanced psychology– AI synergy
by: Avanti Bhandarkar, et al.
Published: (2024)

ForensicsData: A Digital Forensics Dataset for Large Language Models
by: Chakir, Youssef, et al.
Published: (2025)

Multi-Agent Collaboration in Incident Response with Large Language Models
by: Liu, Zefang
Published: (2024)

The Landscape of Prompt Injection Threats in LLM Agents: From Taxonomy to Analysis
by: Wang, Peiran, et al.
Published: (2026)

Triaging Threats to Specialized Guardrails
by: Mo, Wenjie Jacky, et al.
Published: (2026)

AutoBnB-RAG: Enhancing Multi-Agent Incident Response with Retrieval-Augmented Generation
by: Liu, Zefang, et al.
Published: (2025)

MaskSQL: Safeguarding Privacy for LLM-Based Text-to-SQL via Abstraction
by: Abedini, Sepideh, et al.
Published: (2025)

Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents
by: Yang, Wenkai, et al.
Published: (2024)

CyberThreat-Eval: Can Large Language Models Automate Real-World Threat Research?
by: Chen, Xiangsen, et al.
Published: (2026)

SoK: Are Watermarks in LLMs Ready for Deployment?
by: Dang, Kieu, et al.
Published: (2025)

Abusing the Internet of Medical Things: Evaluating Threat Models and Forensic Readiness for Multi-Vector Attacks on Connected Healthcare Devices
by: Straw, Isabel, et al.
Published: (2026)

Chances and Challenges of the Model Context Protocol in Digital Forensics and Incident Response
by: Hilgert, Jan-Niclas, et al.
Published: (2025)

Cloud Security Assurance: Strategies for Encryption in Digital Forensic Readiness
by: Alenezi, Ahmed MohanRaj
Published: (2024)

Evaluation of LLM Chatbots for OSINT-based Cyber Threat Awareness
by: Shafee, Samaneh, et al.
Published: (2024)

Factuality Beyond Coherence: Evaluating LLM Watermarking Methods for Medical Texts
by: Hastuti, Rochana Prih, et al.
Published: (2025)

LLM-driven Provenance Forensics for Threat Investigation and Detection
by: Mukherjee, Kunal, et al.
Published: (2025)

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification
by: Tang, Fengxiao, et al.
Published: (2025)

Ransomware IR Model: Proactive Threat Intelligence-Based Incident Response Strategy
by: Lai, Anthony Cheuk Tung, et al.
Published: (2025)

ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation
by: Wu, Yiran, et al.
Published: (2025)

A Case Study on the Impact of Anonymization Along the RAG Pipeline
by: Bodea, Andreea-Elena, et al.
Published: (2026)

BraveGuard: From Open-World Threats to Safer Computer-Use Agents
by: Feng, Yunhao, et al.
Published: (2026)

MAGE: Safeguarding LLM Agents against Long-Horizon Threats via Shadow Memory
by: Wang, Yuhui, et al.
Published: (2026)

The Use of Large Language Models (LLM) for Cyber Threat Intelligence (CTI) in Cybercrime Forums
by: Clairoux-Trepanier, Vanessa, et al.
Published: (2024)

Potentials and Pitfalls of Applying Federated Learning in Hardware Assurance
by: Lee, Gijung, et al.
Published: (2026)

LLM-based Privacy Data Augmentation Guided by Knowledge Distillation with a Distribution Tutor for Medical Text Classification
by: Song, Yiping, et al.
Published: (2024)

The Obvious Invisible Threat: LLM-Powered GUI Agents' Vulnerability to Fine-Print Injections
by: Chen, Chaoran, et al.
Published: (2025)

Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language Models
by: Liang, Zi, et al.
Published: (2024)

From Retrieval to Reasoning: A Framework for Cyber Threat Intelligence NER with Explicit and Adaptive Instructions
by: Peng, Jiaren, et al.
Published: (2025)

BiAxisAudit: A Novel Framework to Evaluate LLM Bias Across Prompt Sensitivity and Response-Layer Divergence
by: Gan, Jialing, et al.
Published: (2026)

FreqMark: Frequency-Based Watermark for Sentence-Level Detection of LLM-Generated Text
by: Xu, Zhenyu, et al.
Published: (2024)

GradEscape: A Gradient-Based Evader Against AI-Generated Text Detectors
by: Meng, Wenlong, et al.
Published: (2025)

To See or Not to See: A Privacy Threat Model for Digital Forensics in Crime Investigation
by: Raciti, Mario, et al.
Published: (2025)

A Smart City Infrastructure Ontology for Threats, Cybercrime, and Digital Forensic Investigation
by: Tok, Yee Ching, et al.
Published: (2024)

The Double-edged Sword of LLM-based Data Reconstruction: Understanding and Mitigating Contextual Vulnerability in Word-level Differential Privacy Text Sanitization
by: Meisenbacher, Stephen, et al.
Published: (2025)

A General Pseudonymization Framework for Cloud-Based LLMs: Replacing Privacy Information in Controlled Text Generation
by: Hou, Shilong, et al.
Published: (2025)

Bringing Forensic Readiness to Modern Computer Firmware
by: Latzo, Tobias, et al.
Published: (2025)

SRTJ: Self-Evolving Rule-Driven Training-Free LLM Jailbreaking
by: Li, Jindong, et al.
Published: (2026)

DFIR-Metric: A Benchmark Dataset for Evaluating Large Language Models in Digital Forensics and Incident Response
by: Cherif, Bilel, et al.
Published: (2025)

SafeReview: Defending LLM-based Review Systems Against Adversarial Hidden Prompts
by: Xin, Yuan, et al.
Published: (2026)