Imagen de Portada

Beyond Single Reports: Evaluating Automated ATT&CK Technique Extraction in Multi-Report Campaign Settings

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Haque, Md Nazmul, Hamer, Sivana, Wroblewski, Brandon, Rahman, Md Rayhanur, Williams, Laurie
Formato:	Preprint
Publicado:	2026
Materias:	Software Engineering
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Your ATs to Ts: MITRE ATT&CK Attack Technique to P-SSCRM Task Mapping
por: Hamer, Sivana, et al.
Publicado: (2025)

Mining Temporal Attack Patterns from Cyberthreat Intelligence Reports
por: Rahman, Md Rayhanur, et al.
Publicado: (2024)

Closing the Chain: How to reduce your risk of being SolarWinds, Log4j, or XZ Utils
por: Hamer, Sivana, et al.
Publicado: (2025)

What Are Adversaries Doing? Automating Tactics, Techniques, and Procedures Extraction: A Systematic Review
por: Tamanna, Mahzabin, et al.
Publicado: (2026)

Just another copy and paste? Comparing the security vulnerabilities of ChatGPT generated code and StackOverflow answers
por: Hamer, Sivana, et al.
Publicado: (2024)

Trusting code in the wild: Exploring contributor reputation measures to review dependencies in the Rust ecosystem
por: Hamer, Sivana, et al.
Publicado: (2024)

Relative Positioning Based Code Chunking Method For Rich Context Retrieval In Repository Level Code Completion Task With Code Language Model
por: Rahman, Imranur, et al.
Publicado: (2025)

Analyzing Challenges in Deployment of the SLSA Framework for Software Supply Chain Security
por: Tamanna, Mahzabin, et al.
Publicado: (2024)

From Natural Language to Verified Code: Toward AI Assisted Problem-to-Code Generation with Dafny-Based Formal Verification
por: Erfan, Md, et al.
Publicado: (2026)

An Alignment Between the CRA's Essential Requirements and the ATT&CK's Mitigations
por: Ruohonen, Jukka, et al.
Publicado: (2025)

CIgrate: Automating CI Service Migration with Large Language Models
por: Hossain, Md Nazmul, et al.
Publicado: (2025)

Your Build Scripts Stink: The State of Code Smells in Build Scripts
por: Tamanna, Mahzabin, et al.
Publicado: (2025)

How Quantization Impacts Privacy Risk on LLMs for Code?
por: Haque, Md Nazmul, et al.
Publicado: (2025)

Mind the Gap: Evaluating LLMs for High-Level Malicious Package Detection vs. Fine-Grained Indicator Identification
por: Ryan, Ahmed, et al.
Publicado: (2026)

Code Refactoring with LLM: A Comprehensive Evaluation With Few-Shot Settings
por: Tapader, Md. Raihan, et al.
Publicado: (2025)

AgenticCyOps: Securing Multi-Agentic AI Integration in Enterprise Cyber Operations
por: Mitra, Shaswata, et al.
Publicado: (2026)

Secure or Suspect? Investigating Package Hallucinations of Shell Command in Original and Quantized LLMs
por: Haque, Md Nazmul, et al.
Publicado: (2025)

Do Automatic Comment Generation Techniques Fall Short? Exploring the Influence of Method Dependencies on Code Understanding
por: Billah, Md Mustakim, et al.
Publicado: (2025)

Secret Leak Detection in Software Issue Reports using LLMs: A Comprehensive Evaluation
por: Ahmed, Sadif, et al.
Publicado: (2024)

Beyond Pass/Fail: The Story of Learning-Based Testing
por: Rahman, Sheikh Md. Mushfiqur, et al.
Publicado: (2025)

LLMs: A Game-Changer for Software Engineers?
por: Haque, Md Asraful
Publicado: (2024)

Parameter-Efficient Multi-Task Fine-Tuning in Code-Related Tasks
por: Haque, Md Zahidul, et al.
Publicado: (2026)

Assumptions to Evidence: Evaluating Security Practices Adoption and Their Impact on Outcomes in the npm Ecosystem
por: Zahan, Nusrat, et al.
Publicado: (2025)

Context Before Code: An Experience Report on Vibe Coding in Practice
por: Shuvo, Md Nasir Uddin, et al.
Publicado: (2026)

Error Understanding in Program Code With LLM-DL for Multi-label Classification
por: Amin, Md Faizul Ibne, et al.
Publicado: (2026)

Benchmarking ChatGPT, Codeium, and GitHub Copilot: A Comparative Study of AI-Driven Programming and Debugging Assistants
por: Ovi, Md Sultanul Islam, et al.
Publicado: (2024)

EvaluateXAI: A Framework to Evaluate the Reliability and Consistency of Rule-based XAI Techniques for Software Analytics Tasks
por: Awal, Md Abdul, et al.
Publicado: (2024)

Automated Personnel Selection for Software Engineers Using LLM-Based Profile Evaluation
por: Karim, Ahmed Akib Jawad, et al.
Publicado: (2024)

A Task-Level Evaluation of AI Agents in Open-Source Projects
por: Rahman, Shojibur, et al.
Publicado: (2026)

A Systematic Literature Review of Parameter-Efficient Fine-Tuning for Large Code Models
por: Afrin, Saima, et al.
Publicado: (2025)

Best Practices for Facing the Security Challenges of Internet of Things Devices Focusing on Software Development Life Cycle
por: Islam, Md Rafid, et al.
Publicado: (2024)

IssueGuard: Real-Time Secret Leak Prevention Tool for GitHub Issue Reports
por: Rahman, Md Nafiu, et al.
Publicado: (2026)

Large Language Models for IT Automation Tasks: Are We There Yet?
por: Hassan, Md Mahadi, et al.
Publicado: (2025)

LLM-as-a-Judge for Human-AI Co-Creation: A Reliability-Aware Evaluation Framework for Coding
por: Amin, Md Faizul Ibne, et al.
Publicado: (2026)

Reward Engineering for Reinforcement Learning in Software Tasks
por: Masud, Md Rayhanul, et al.
Publicado: (2026)

Mapping of the system of software-related emissions and shared responsibilities
por: Partanen, Laura, et al.
Publicado: (2025)

How Do Semantically Equivalent Code Transformations Impact Membership Inference on LLMs for Code?
por: Yang, Hua, et al.
Publicado: (2025)

SWE-Shepherd: Advancing PRMs for Reinforcing Code Agents
por: Dihan, Mahir Labib, et al.
Publicado: (2026)

Do Internal Software Metrics Have Relationship with Fault-proneness and Change-proneness?
por: Rahman, Md. Masudur, et al.
Publicado: (2023)

Introducing Ensemble Machine Learning Algorithms for Automatic Test Case Generation using Learning Based Testing
por: Rahman, Sheikh Md. Mushfiqur, et al.
Publicado: (2024)