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R-IBN-Orchestration
This is a repo for the R-IBN-Orchestration
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a-deep-rl-approach-for-sdn-routing-optimization
A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization
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A-NIDS
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academic-writing-guide
一些关于写论文的教程,防止犯一些低级错误
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ATMoS
Security management in SDN using Reinforcement Learning
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AutoCAD
A Reinforcement Learning (RL) simulation environment built for training and evaluating autonomous cyber attack & defense models on simulated networks.
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AVOA
Chen, J., Xiao, W., Zhang, H. et al. Dynamic routing optimization in software-defined networking based on a metaheuristic algorithm. J Cloud Comp 13, 41 (2024). https://doi.org/10.1186/s13677-024-00603-1. African vultures optimization algorithm（AVOA） application in network routing optimization.
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Cache-Allocation-Project
The purpose of this project is to implement machine learning methods to study resource allocation problems, that is how to share limited resources out among several agents.
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cage-4-submission
GNN MARL Approach for the CAGE-4 automated cyber defense challenge
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CFR-RL
CFR-RL: Traffic Engineering with Reinforcement Learning in SDN
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ctinexus
CTINexus is a framework that leverages optimized in-context learning of LLMs to enable data-efficient extraction of cyber threat intelligence and the construction of high-quality cybersecurity knowledge graphs.
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Cyber_APT_Reports_NER
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cyborg_training
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DDoS-attack-detection-and-mitigation-using-deep-neural-network-in-SDN-environment
Computers & Security
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DRL-OR
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DRL-OR-S
Code for DRL-OR-S on TPDS 2023
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DTF-VPP
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Endpoint-Forecasting-and-Interpreting
We propose Endpoint Forecasting and Interpreting (EFI), a real-time attack forecast and interpretation system, which can automatically predict next move during post-exploitation and explain it in technique-level, then dispatch strategies to EDR for advance reinforcement.
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FedAgg
[INFOCOM 2024 Top 1 Popular Article] Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration
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FedCLIP-Distill
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Federated-Learning
Overview of Federal Learning
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fed_rf
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FELACS
Federted learning framework with adaptive client selection
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FLAD
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gazebo_drone_tutorials
厚积才能薄发
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GCN-LOF
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gemini-balance
Gemini polling proxy service （gemini轮询代理服务）
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gemini-playground
Deploy a Gemini multimodal chat website in 10 seconds, Severless! 只需准备一个Gemini API Key，10秒即可部署一个Gemini多模态对话的网站。
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Home-Energy-Managment-System
In this project we are aiming to using technologyie like SDN and AI to help manages the electricity conusmption for the consumer. Using ML and RL's agent , we were able to help in managing the power consumption
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IoV-SFDL-Swarm-Federated-Deep-Learning
LSTM network to verify trajector prediction on the NGSIM dataset based on IoV-SFDL framework
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KDD-Cup-99-CNN-PyTorch
This is a classification model with five classes (normal, DOS, R2L, U2R,PROBING). Ignore the content features of TCP connection ( columns 10-22 of KDD Cup 99 dataset) when training the model to adapt the project that a kdd99 feature extractor
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KDD23_DynEformer
PPIO workload prediction framework code
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KG_Tutorial
基于BiLSTM-Attention的的关系分类
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LogDLR
An implementation of LogDLR
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LPulse
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MAGIC
Codes and data for USENIX Security 24 paper "MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation Learning"
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marlin-rlcc
Reinforcement Learning environment for Congestion Control with ContainerNet
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MGDN-project
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mini_sfc
Mini-SFC: A simulation framework for SFC embedding algorithm with reference to MANO
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ML-based-IDS-CICIDS2017
This is a simple DNN based application for an IDS based on the CICIDS2017 dataset
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ml-intrusion-detection-cicids2017
Machine Learning-based Intrusion Detection System (IDS) tailored for resource-constrained networks
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Multi-Objective-Optimization-AutoML-based-Intrusion-Detection-System
This repository includes code for the paper “Toward Autonomous and Efficient Cybersecurity: A Multi Objective AutoML based Intrusion Detection System” published in IEEE TMLCN, implementing AutoML and MOO-based intrusion detection systems that optimize both ML model effectiveness and efficiency for IoT systems.
Python · 0 人关注
NetMamba
Efficient Network Traffic Classification via Pre-training Unidirectional Mamba
Go · 0 人关注
nps
基于NPS 0.29.10 版本二开而来，NPS接力项目。公益云NPS：https://natnps.com
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ns.py
ns.py: a Pythonic Discrete-Event Network Simulator
Python · 0 人关注
ppt2fig
📑一键将当前打开的PPT的页面导出为PDF，并自动裁剪白边。非常适合科研人员在使用PPT作图时，修改PPT后快速导出PDF插入到论文中。 One click to export the currently open PPT page as a PDF and automatically crop white borders.
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releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
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research-method
论文写作与资料分享
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RL-based-routing-model
This is an energy-efficient routing method for wireless sensor network. It is assumed that the SDN's controller is the RL agent.
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rl-countermeasure-selection-for-sdn-attack-mitigation
Adaptive countermeasure selection in order to mitigate Distributed Denial of Service (DDoS) attacks in Software Defined Networks (SDN)
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Routing-In-IAB-Networks
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SDN-IDS-Framework
This is a repository for the course project (Network Enginnering) this repo implements a IDS fromwork on a SDN controller using RL
Python · 0 人关注
secgpt
secgpt网络安全大模型
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SketchFeature
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TraceDAE
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TrafficEye
该工具适用于 HW 蓝队对网络流量的深入分析，帮助安全研究人员、渗透测试人员及网络管理员等专业人士识别潜在的安全威胁，尤其是针对 Web 应用的攻击（如 SQL 注入、XSS、WebShell 等）。其模块化设计使用户能够根据实际需求自由选择并定制各类功能模块。 This tool is designed to help penetration testers and network administrators identify potential security threats, especially those targeting web applications such as SQL injection, XSS, and WebShells. Its modular desig
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kingxiaofireV2EX 第 364242 号会员，加入于 2018-11-19 18:41:59 +08:00今日活跃度排名 305 |
kingxiaofire
kingxiaofire 最近回复了
3 小时 48 分钟前 回复了 lfsc 创建的主题 › iPhone › iPhone 是真 TM 难用 |
iphone 的 26 键我用不明白 打字很慢 容易错 有推荐的教程吗谢谢
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