《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

A thesis submitted for the degree of Master of Science in Computer Networks and Security

Rapidly identify and mitigate container security vulnerabilities with generative AI.

Flash-IDS is an open-source system developed by the DART Laboratory for advanced intrusion detection using provenance graph representation learning. It implements the techniques presented in our IE…

Machine Learning in Cybersecurity

Anomaly detection with GNNs

Log Parsing with Prompt-based Few-shot Learning (ICSE 2023, Technical Track)

Python Code to Efficiently Inverse a Matrix

Deep Learning techniques can be implemented in the field of cybersecurity to handle the issues related to intrusion just as they have been successfully implemented in the areas such as computer vis…

Context-aware network log analysis platform using LLMs to detect network security events.

The design and implementation of an advanced BiLSTM-based model integrated with an attention mechanism for network intrusion detection using the NSL-KDD dataset.

Malware detection program using system call sequencing.

The proliferation of malicious software, particularly Java Archive (JAR) files, poses significant challenges to cybersecurity. This project leverages the REJAFADA dataset, containing an equal distr…

Kubernetes community content

Reuploaded the Project again.

Animated translation of Algebraic Curves to Parallel Coordinates