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Event log analysis is an important task that security professionals undertake.
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Transformer-based llms in cybersecurity: An in-depth study on log anomaly detection and conversational defense mechanisms. In 2023 IEEE International Conference on Big Data (BigData) . IEEE, 3590–3599
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Cyber sentinel: Exploring conversational agents in streamlining security tasks with gpt-4
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Log parsing: How far can chatgpt go?. In 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) . IEEE, 1699–1704
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Optimizing Software Release Management with GPT-Enabled Log Anomaly Detection. In 2023 26th International Conference on Computer and Information Technology (ICCIT) . IEEE, 1–6
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Llms for science: Usage for code generation and data analysis
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Loggpt: Exploring chatgpt for log-based anomaly detection. In 2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys) . IEEE, 273–280
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Hao Sun. 2023 · 2023
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A 5G Security Recommendation System Based on Multi-Modal Learning and Large Language Models
Jia Wei Yao. 2023 · 2023
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LogDAPT: Log Data Anomaly Detection with Domain-Adaptive Pretraining (industry track). In Proceedings of the 24th International Middleware Conference: Industrial Track . 15–21
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Prompting LLM to Enforce and Validate CIS Critical Security Control. In Proceedings of the 29th ACM Symposium on Access Control Models and Technologies . 93–104
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LogFiT: Log Anomaly Detection Using Fine-Tuned Language Models
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A survey of large language models for cyber threat detection
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Real World Implementation of LLM-based Log Anomaly Detection-Exploring the feasibility of training-free approaches
DANTE SHINTARO COMETTI and DIOGO LOPES DIONISIO. 2024 · 2024
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Semantic Hierarchical Classification Applied to Anomaly Detection Using System Logs with a BERT Model
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The role of generative ai in software development productivity: A pilot case study. In Proceedings of the 1st ACM International Conference on AI-Powered Software . 131–138
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Extracting Structured Insights from Financial News: An Augmented LLM Driven Approach
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Evaluation of LLM Agents for the SOC Tier 1 Analyst Triage Process
Openime Oniagbi, Antti Hakkala, and Ismayil Hasanov. 2024 · 2024
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Byte Latent Transformer: Patches Scale Better Than Tokens
Artidoro Pagnoni, Ram Pasunuru, Pedro Rodriguez, John Nguyen, Benjamin Muller, Margaret Li, Chunting Zhou, Lili Yu, Jason Weston, Luke Zettlemoyer, Gargi Ghosh, Mike Lewis, Ari Holtzman, and Srinivasan Iyer. 2024 · 2024
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Leveraging LLM for Zero-Day Exploit Detection in Cloud Networks
Kapil Patil and Bhavin Desai. 2024 · 2024
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Predictive analytics in mental health leveraging llm embeddings and machine learning models for social media analysis
Ahmad Radwan, Mohannad Amarneh, Hussam Alawneh, Huthaifa I Ashqar, Anas AlSobeh, and Aws Abed Al Raheem Magableh. 2024 · 2024
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Integrating Large Language Models into Cybersecurity Incident Response: Enhancing Threat Detection and Analysis
Saifur Rahman Rahmani. 2024 · 2024
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Log Anomaly Detection by Leveraging LLM-Based Parsing and Embedding with Attention Mechanism. In 2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) . IEEE, 859–863
Asma Fariha, Vida Gharavian, Masoud Makrehchi, Shahryar Rahnamayan, Sanaa Alwidian, and Akramul Azim. 2024 · 2024
Cited alongside, same era.
Revolutionizing cyber threat detection with large language models: A privacy-preserving bert-based lightweight model for iot/iiot devices
Mohamed Amine Ferrag, Mthandazo Ndhlovu, Norbert Tihanyi, Lucas C Cordeiro, Merouane Debbah, Thierry Lestable, and Narinderjit Singh Thandi. 2024 · 2024
Cited alongside, same era.
Logformer: A pre-train and tuning pipeline for log anomaly detection. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 38. 135–143
Hongcheng Guo, Jian Yang, Jiaheng Liu, Jiaqi Bai, Boyang Wang, Zhoujun Li, Tieqiao Zheng, Bo Zhang, Junran Peng, and Qi Tian. 2024 · 2024
Cited alongside, same era.
Anomaly Detection on Unstable Logs with GPT Models
Fatemeh Hadadi, Qinghua Xu, Domenico Bianculli, and Lionel Briand. 2024 · 2024
Cited alongside, same era.
Distributed Threat Intelligence at the Edge Devices: A Large Language Model-Driven Approach
Syed Mhamudul Hasan, Alaa M Alotaibi, Sajedul Talukder, and Abdur R Shahid. 2024 · 2024
Cited alongside, same era.
GPT Powered Log Analysis: Enhancing SOC Decision Making for Malicious and Benign Security Log Classification
Arthur Hermann. 2024 · 2024
Cited alongside, same era.
Towards Explainable Network Intrusion Detection using Large Language Models
Paul RB Houssel, Priyanka Singh, Siamak Layeghy, and Marius Portmann. 2024 · 2024
Cited alongside, same era.
ULog: Unsupervised Log Parsing with Large Language Models through Log Contrastive Units
Junjie Huang, Zhihan Jiang, Zhuangbin Chen, and Michael R Lyu. 2024a · 2024
Cited alongside, same era.
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QuaLLM: An LLM-based Framework to Extract Quantitative Insights from Online Forums
Varun Nagaraj Rao, Eesha Agarwal, Samantha Dalal, Dan Calacci, and Andrés Monroy-Hernández. 2024 · 2024
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Exploring LLM-Based Agents for Root Cause Analysis. In Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering (Porto de Galinhas, Brazil) (FSE 2024) . Association for Computing Machinery, New York, NY, USA, 208–219
Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, and Saravan Rajmohan. 2024 · 2024
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Transfer Learning in Pre-Trained Large Language Models for Malware Detection Based on System Calls
Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Gérôme Bovet, and Gregorio Martínez Pérez. 2024 · 2024
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Face it yourselves: An llm-based two-stage strategy to localize configuration errors via logs. In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis . 13–25
Shiwen Shan, Yintong Huo, Yuxin Su, Yichen Li, Dan Li, and Zibin Zheng. 2024 · 2024
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Audit-LLM: Multi-Agent Collaboration for Log-based Insider Threat Detection
Chengyu Song, Linru Ma, Jianming Zheng, Jinzhi Liao, Hongyu Kuang, and Lin Yang. 2024 · 2024
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AI-driven Log Analysis for Intrusion Detection
Johan Sundin and Linus Särud. 2024 · 2024
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Using Large Language Models for Template Detection from Security Event Logs
Risto Vaarandi and Hayretdin Bahsi. 2024 · 2024
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A Survey on Large Language Models for Recommendation
Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, and Enhong Chen. 2024b · 2024
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Log Parsing with Self-Generated In-Context Learning and Self-Correction
Yifan Wu, Siyu Yu, and Ying Li. 2024a · 2024
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Stronger, Faster, and Cheaper Log Parsing with LLMs
Yi Xiao, Van-Hoang Le, and Hongyu Zhang. 2024a · 2024
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CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis
Yihang Xiao, Jinyi Liu, Yan Zheng, Xiaohan Xie, Jianye Hao, Mingzhi Li, Ruitao Wang, Fei Ni, Yuxiao Li, Jintian Luo, et al · 2024
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WaitGPT: Monitoring and Steering Conversational LLM Agent in Data Analysis with On-the-Fly Code Visualization. In Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology . 1–14
Liwenhan Xie, Chengbo Zheng, Haijun Xia, Huamin Qu, and Chen Zhu-Tian. 2024 · 2024
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HELP: Hierarchical Embeddings-based Log Parsing
Andy Xu and Arno Gau. 2024 · 2024
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DivLog: Log Parsing with Prompt Enhanced In-Context Learning. In Proceedings of the IEEE/ACM 46th International Conference on Software Engineering . 1–12
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Harnessing the power of llms in practice: A survey on chatgpt and beyond
Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Shaochen Zhong, Bing Yin, and Xia Hu. 2024a · 2024
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An Anomaly Detection Model Training Method Based on LLM Knowledge Distillation. In 2024 International Conference on Networking and Network Applications (NaNA) . IEEE, 472–477
Yang Yang, Bo Tian, Fei Yu, and Yuanhang He. 2024b · 2024
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LogGenius: An Unsupervised Log Parsing Framework with Zero-shot Prompt Engineering. In 2024 IEEE International Conference on Web Services (ICWS) . IEEE, 1321–1328
Xian Yu, Shengxi Nong, Dongbiao He, Weijie Zheng, Teng Ma, Ning Liu, Jianhui Li, and Gaogang Xie. 2024 · 2024
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LogRAG: Semi-Supervised Log-based Anomaly Detection with Retrieval-Augmented Generation. In 2024 IEEE International Conference on Web Services (ICWS) . 1100–1102
Wanhao Zhang, Qianli Zhang, Enyu Yu, Yuxiang Ren, Yeqing Meng, Mingxi Qiu, and Jilong Wang. 2024b · 2024
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Siyun Zhao, Yuqing Yang, Zilong Wang, Zhiyuan He, Luna K Qiu, and Lili Qiu. 2024 · 2024
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LLM-powered Zero-shot Online Log Parsing. In 2024 IEEE International Conference on Web Services (ICWS) . IEEE, 877–887
Chen Zhi, Liye Cheng, Meilin Liu, Xinkui Zhao, Yueshen Xu, and Shuiguang Deng. 2024 · 2024
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LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining . 4559–4570
Aoxiao Zhong, Dengyao Mo, Guiyang Liu, Jinbu Liu, Qingda Lu, Qi Zhou, Jiesheng Wu, Quanzheng Li, and Qingsong Wen. 2024 · 2024
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Leveraging Large Language Models and BERT for Log Parsing and Anomaly Detection
Yihan Zhou, Yan Chen, Xuanming Rao, Yukang Zhou, Yuxin Li, and Chao Hu. 2024 · 2024
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