Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucination
Fuente:
arXiv
Saved in:
| Main Authors: | Hammar, Kim, Alpcan, Tansu, Lupu, Emil C. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hallucination-Resistant Security Planning with a Large Language Model
by: Hammar, Kim, et al.
Published: (2026)
by: Hammar, Kim, et al.
Published: (2026)
Adaptive Network Security Policies via Belief Aggregation and Rollout
by: Hammar, Kim, et al.
Published: (2025)
by: Hammar, Kim, et al.
Published: (2025)
In-Context Autonomous Network Incident Response: An End-to-End Large Language Model Agent Approach
by: Gao, Yiran, et al.
Published: (2026)
by: Gao, Yiran, et al.
Published: (2026)
Online Incident Response Planning under Model Misspecification through Bayesian Learning and Belief Quantization
by: Hammar, Kim, et al.
Published: (2025)
by: Hammar, Kim, et al.
Published: (2025)
Emerging Security Challenges of Large Language Models
by: Debar, Herve, et al.
Published: (2024)
by: Debar, Herve, et al.
Published: (2024)
CSLE: A Reinforcement Learning Platform for Autonomous Security Management
by: Hammar, Kim
Published: (2026)
by: Hammar, Kim
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)
by: Cherif, Bilel, et al.
Published: (2025)
MATRA: Modeling the Attack Surface of Agentic AI Systems -- OpenClaw Case Study
by: Van hamme, Tim, et al.
Published: (2026)
by: Van hamme, Tim, et al.
Published: (2026)
Prefix Probing: Lightweight Harmful Content Detection for Large Language Models
by: Yang, Jirui, et al.
Published: (2025)
by: Yang, Jirui, et al.
Published: (2025)
Hallucinating AI Hijacking Attack: Large Language Models and Malicious Code Recommenders
by: Noever, David, et al.
Published: (2024)
by: Noever, David, et al.
Published: (2024)
Chances and Challenges of the Model Context Protocol in Digital Forensics and Incident Response
by: Hilgert, Jan-Niclas, et al.
Published: (2025)
by: Hilgert, Jan-Niclas, et al.
Published: (2025)
Causal Online Learning of Safe Regions in Cloud Radio Access Networks
by: Hammar, Kim, et al.
Published: (2026)
by: Hammar, Kim, et al.
Published: (2026)
Stealthy Poisoning Attacks Bypass Defenses in Regression Settings
by: Carnerero-Cano, Javier, et al.
Published: (2026)
by: Carnerero-Cano, Javier, et al.
Published: (2026)
CORVUS: Red-Teaming Hallucination Detectors via Internal Signal Camouflage in Large Language Models
by: Min, Nay Myat, et al.
Published: (2026)
by: Min, Nay Myat, 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)
Revolutionizing Cyber Threat Detection with Large Language Models: A privacy-preserving BERT-based Lightweight Model for IoT/IIoT Devices
by: Ferrag, Mohamed Amine, et al.
Published: (2023)
by: Ferrag, Mohamed Amine, et al.
Published: (2023)
Optimal Defender Strategies for CAGE-2 using Causal Modeling and Tree Search
by: Hammar, Kim, et al.
Published: (2024)
by: Hammar, Kim, et al.
Published: (2024)
Distilling Lightweight Language Models for C/C++ Vulnerabilities
by: Wei, Zhiyuan, et al.
Published: (2025)
by: Wei, Zhiyuan, et al.
Published: (2025)
TensorCommitments: A Lightweight Verifiable Inference for Language Models
by: Baser, Oguzhan, et al.
Published: (2026)
by: Baser, Oguzhan, et al.
Published: (2026)
Predictive Coding and Information Bottleneck for Hallucination Detection in Large Language Models
by: Bhatt, Manish
Published: (2026)
by: Bhatt, Manish
Published: (2026)
Defending Large Language Models Against Jailbreak Exploits with Responsible AI Considerations
by: Wong, Ryan, et al.
Published: (2025)
by: Wong, Ryan, et al.
Published: (2025)
Structural Generalization in Autonomous Cyber Incident Response with Message-Passing Neural Networks and Reinforcement Learning
by: Nyberg, Jakob, et al.
Published: (2024)
by: Nyberg, Jakob, et al.
Published: (2024)
Payload-Aware Intrusion Detection with CMAE and Large Language Models
by: Kim, Yongcheol, et al.
Published: (2025)
by: Kim, Yongcheol, et al.
Published: (2025)
A Preliminary Study on Using Large Language Models in Software Pentesting
by: Shashwat, Kumar, et al.
Published: (2024)
by: Shashwat, Kumar, et al.
Published: (2024)
Probing the Safety Response Boundary of Large Language Models via Unsafe Decoding Path Generation
by: Wang, Haoyu, et al.
Published: (2024)
by: Wang, Haoyu, et al.
Published: (2024)
Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models
by: Zhang, Fuyao, et al.
Published: (2025)
by: Zhang, Fuyao, et al.
Published: (2025)
Trustworthiness Calibration Framework for Phishing Email Detection Using Large Language Models
by: Ganiuly, Daniyal, et al.
Published: (2025)
by: Ganiuly, Daniyal, et al.
Published: (2025)
Automating Prompt Leakage Attacks on Large Language Models Using Agentic Approach
by: Sternak, Tvrtko, et al.
Published: (2025)
by: Sternak, Tvrtko, et al.
Published: (2025)
Lightweight and Fast Backdoor Model Detection
by: Yu, Yinbo, et al.
Published: (2026)
by: Yu, Yinbo, et al.
Published: (2026)
APT-Agent: Automated Penetration Testing using Large Language Models
by: Li, William Guanting, et al.
Published: (2026)
by: Li, William Guanting, et al.
Published: (2026)
Security Concerns for Large Language Models: A Survey
by: Li, Miles Q., et al.
Published: (2025)
by: Li, Miles Q., et al.
Published: (2025)
A Novel Reinforcement Learning Model for Post-Incident Malware Investigations
by: Dunsin, Dipo, et al.
Published: (2024)
by: Dunsin, Dipo, et al.
Published: (2024)
Unseen Attack Detection in Software-Defined Networking Using a BERT-Based Large Language Model
by: Swileh, Mohammed N., et al.
Published: (2024)
by: Swileh, Mohammed N., et al.
Published: (2024)
Automating Security Audit Using Large Language Model based Agent: An Exploration Experiment
by: Chin, Jia Hui, et al.
Published: (2025)
by: Chin, Jia Hui, et al.
Published: (2025)
ExplainableGuard: Interpretable Adversarial Defense for Large Language Models Using Chain-of-Thought Reasoning
by: Guan, Shaowei, et al.
Published: (2025)
by: Guan, Shaowei, et al.
Published: (2025)
A Lightweight IDS for Early APT Detection Using a Novel Feature Selection Method
by: Shaker, Bassam Noori, et al.
Published: (2025)
by: Shaker, Bassam Noori, et al.
Published: (2025)
Retrieval-Augmented LLMs for Security Incident Analysis
by: Cadet, Xavier, et al.
Published: (2026)
by: Cadet, Xavier, et al.
Published: (2026)
(Security) Assertions by Large Language Models
by: Kande, Rahul, et al.
Published: (2023)
by: Kande, Rahul, et al.
Published: (2023)
LLMmap: Fingerprinting For Large Language Models
by: Pasquini, Dario, et al.
Published: (2024)
by: Pasquini, Dario, et al.
Published: (2024)
Backdooring Bias in Large Language Models
by: Das, Anudeep, et al.
Published: (2026)
by: Das, Anudeep, et al.
Published: (2026)
Similar Items
-
Hallucination-Resistant Security Planning with a Large Language Model
by: Hammar, Kim, et al.
Published: (2026) -
Adaptive Network Security Policies via Belief Aggregation and Rollout
by: Hammar, Kim, et al.
Published: (2025) -
In-Context Autonomous Network Incident Response: An End-to-End Large Language Model Agent Approach
by: Gao, Yiran, et al.
Published: (2026) -
Online Incident Response Planning under Model Misspecification through Bayesian Learning and Belief Quantization
by: Hammar, Kim, et al.
Published: (2025) -
Emerging Security Challenges of Large Language Models
by: Debar, Herve, et al.
Published: (2024)