A Novel GPT-Based Framework for Anomaly Detection in System Logs
cs.CR, cs.LG
Submitted: 2025-10-16
Updated: 2026-10-11
Terminology
Sources
- Universal Language Model Fine-tuning for Text Classification
- Large Language Models for Cyber Security: A Systematic Literature Review
- Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection
- Decoupled Weight Decay Regularization
- GPT-4 Technical Report
- Challenges and Applications of Large Language Models
- On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective
- Information Security Based on LLM Approaches: A Review
- MoveScanner: Analysis of Security Risks of Move Smart Contracts
- UEChecker: Detecting Unchecked External Call Vulnerabilities in DApps via Graph Analysis
- Malicious Code Detection in Smart Contracts via Opcode Vectorization
- MultiCFV: Detecting Control Flow Vulnerabilities in Smart Contracts Leveraging Multimodal Deep Learning
- Penetration Testing for System Security: Methods and Practical Approaches
- Risk Assessment and Security Analysis of Large Language Models
- When Blockchain Meets Crawlers: Real-time Market Analytics in Solana NFT Markets
- AI-Based Vulnerability Analysis of NFT Smart Contracts
- Security Analysis of ChatGPT: Threats and Privacy Risks
- NATLM: Detecting Defects in NFT Smart Contracts Leveraging LLM
- Blockchain security based on cryptography: a review
- Blockchain Application in Metaverse: A Review
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