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1book

《Web安全之机器学习入门》

abnormal-traffic

IDS abnormal traffic detection tensorflow

attack_scripts

awesome-cybersecurity-datasets

A curated list of amazingly awesome Cybersecurity datasets

awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

awesome-pcaptools

A collection of tools developed by other researchers in the Computer Science area to process network traces. All the right reserved for the original authors.

cicflowmeter

CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) is a network traffic Bi-flow generator and analyzer for anomaly detection that has been used in many Cybersecurity datsets such as Android Adware-General Malware dataset (CICAAGM2017), IPS/IDS dataset (CICIDS2017) and Android Malware dataset (CICAndMal2017).

deeptraffic

Deep Learning models for network traffic classification

densenet-cifar10

Train DenseNet on Cifar-10 based on Keras

densenet-tensorflow

Simple Tensorflow implementation of Densenet using Cifar10, MNIST

dns_tunnel_dectect_with_cnn

dns tunnel dectect with CNN

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

feature_selection_gaalgorithm

基于遗传算法的特征选择

flow_based_code

flows_to_weka

tcp pcap to weka

intrusion-detection-big-data

iot-data-simulator

Generic IoT data simulator. Provides possibility to replay datasets or generates data on fly. Supports various IoT platforms out of the box.

iot-or-not-execution-code

iot_dataset

iot_wild

Signatures for IMC'20 paper on scalable detection of IoT devices in the wild

iotseeker

Created by Jin Qian via the GitHub Connector

javaguide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

joy

A package for capturing and analyzing network flow data and intraflow data, for network research, forensics, and security monitoring.

kaggle

Kaggle 项目实战（教程） = 文档 + 代码 + 视频（欢迎参与）

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

malware

IoT Security Reading List

mobilebotnetanalysislab

Machine Learning for Mobile Botnet Analysis Lab

mudgee

This tool is used for generating Manufacture Usage Description(MUD) from Device Traffic Trace(PCAP)

mypython

一些常用的Python脚本

neuralgenetic

Optimizing artificial neural network parameters using the genetic algorithm for the classification of the Fruits360 dataset. The implementation is from scratch using NumPy.