yan1xin2's Stars
d2l-ai/d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Fafa-DL/Lhy_Machine_Learning
李宏毅2021/2022/2023春季机器学习课程课件及作业
pymodbus-dev/pymodbus
A full modbus protocol written in python
hslatman/awesome-industrial-control-system-security
A curated list of resources related to Industrial Control System (ICS) security.
shramos/Awesome-Cybersecurity-Datasets
A curated list of amazingly awesome Cybersecurity datasets
w3h/icsmaster
ICS/SCADA Security Resource(整合工控安全相关资源)
echowei/DeepTraffic
Deep Learning models for network traffic classification
sourceperl/pyModbusTCP
A simple Modbus/TCP library for Python
tztztztztz/eqlv2
The official implementation of Equalization Loss v1 & v2 (CVPR 2020, 2021) based on MMDetection. https://arxiv.org/abs/2012.08548 https://arxiv.org/abs/2003.05176
Reanon/SEUThesisLatexTemplate
东南大学 硕士毕业论文 Latex 模版 网络空间安全学院
faucetsdn/NetworkML
Machine learning plugins for network traffic
NewBee119/ctf_ics_traffic
工控CTF比赛工具,各种网络数据包处理脚本
jayxsinha/Efficient-CNN-BiLSTM-for-Network-IDS
Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS
liamdm/FlowTransformer
tjcruz-dei/ICS_PCAPS
ICS Cybersecurity PCAP respository
AndreaPi/Open-industrial-datasets
A collection of open datasets for industrial applications, divided by categories
antoine-lemay/Modbus_dataset
Modbus Dataset from CSET 2016
lucadivit/Pcap_Features_Extraction
This program allow you to extract some features from pcap files.
AbertayMachineLearningGroup/machine-learning-SIEM-water-infrastructure
This work aims at using different machine learning techniques in detecting anomalies (including hardware failures, sabotage and cyber-attacks) in SCADA water infrastructure.
Shaik-Sohail-72/Network-Intrusion-Detection-Using-Deep-Learning
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
fkie-cad/ipal_datasets
Industrial datasets - datasets for evaluating industrial intrusion detection systems on IPAL.
yuanshuai666/CANET
CANET: An Effective CNN-Attention Model for Network Intrusion Detection
fkie-cad/ipal_ids_framework
Industrial Intrusion Detection - A framework for protocol-independent industrial intrusion detection on top of IPAL.
3328350766/-SCADA
四象SCADA系统是一款可应用于智慧城市、交通、消防、电力、能源、水务、水利、环保、气象、军事等工控物联网数据采集的通用性硬件采集系统。 无需用户专业编程,简单在web后台管理系统中设置几步后,即可将复杂多变的各类工控硬件动态接入到四象SCADA系统中,数据中心计算模块会将设备的实时数据进行动态转换并动态以多协议方式输出,将协议还原成真实设备数据(状态、属性),预警功能还可以根据设备的属性实时进行实时报警或者联动控制。 同时,四象SCADA系统还自带数据中心大屏设计功能,可以任意实现需要显示的大数据大屏展示,可为APP/WEB提供强大的数据支撑。 数据输入: 支持同时输入modbus-rtu、modbus-tcp、opc-ua、mqtt、可动态集成各厂家的web接口. 数据输出: 支持同时输出modbus-tcp、opc-ua、web接口、web接口、写入数据库(mysql/mssql/oracle/sybase/progresql/redis/mongo)、写入中间件(kafka,mqtt)、写入索引库(elasticsearch、solr)等. 负载并发:可以每秒管理1-1000万个数据设备的状态和实时数据获取。 使用: 无需编程,在后台管理后台配置接入网关和硬件规则即可。 核心特性 多通道设备接入,无限设备管理 1.可以直接同时接入modbus-rtu、modbus-tcp、opc-ua、opc-da、mqtt、可动态集成各厂家的web接口,直接同步接入设备的硬件数据,动态还原出设备属性及实时数据; 2.可以通过tcp/udp/mqtt/,tls/dtls等方式接入任意报文,通过消息总线方式进入统一集中管理数据数据 强大的规则引擎 强大的可视化规则编辑功能,根据设置的规则触发相应条件,产生实时设备告警及场景联动控制. 技术栈 web管理系统:java 数据采集端:java 联系Q:3328350766
sebavarghese/DT-based-IDS-framework
AlirezaDehlaghi/ICSFlow
This is the Network Flow Generator for ICSSIM
meryemJanatiIdrissi/Fed-ANIDS
ayeshasdina/Intrusion-Detection-IoT
Shining20183/GTID
aklira/modbus-to-mqtt
protocol conversion project from modbus to mqtt with TLS encryption