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abnormal-traffic

IDS abnormal traffic detection tensorflow

adagio

Structural Analysis and Detection of Android Malware

android-malware-detection

Android malware detection using static and dynamic analysis

android-security-awesome

A collection of android security related resources

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

awesome-ts-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

botnet-detection-using-machine-learning

Repository of Bachelor's Major Project on Botnet Detection

caelus

Set of Kubernetes solutions for reusing idle resources of nodes by running extra batch jobs

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).

cntasystem

Network Traffic Analysis System(C language)

deep-neural-network-for-traffic-sign-recognition-systems

Pytorch Implementation of Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods

deeptraffic

Deep Learning models for network traffic classification

domain_malicious_detection

Malicious domain name detection based on tensorflow

dorothy2

A malware/botnet analysis framework written in Ruby.

droidcc

Android malware detection using deep learning, contains android malware samples, papers, tools etc.

flink-learning

flink learning blog. http://www.54tianzhisheng.cn 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例，还有 Flink 落地应用的大型项目案例（PVUV、日志存储、百亿数据实时去重、监控告警）分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》

ics_42a

工控安全平台

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。

learningspark

学习spark写的scala代码，工具使用的是IDEA2017.1.6,欢迎star

machine-learning-for-cyber-security

Curated list of tools and resources related to the use of machine learning for cyber security

maltrail

Malicious traffic detection system

mflu.github.io

homepage of mflu

netcap

A framework for secure and scalable network traffic analysis - https://netcap.io

network-log-and-traffic-analysis

Identify malicious behavior and attacks using Machine Learning with Python

networkintrusionanalyzer

Network Intrusion Detection Analysis by using concepts of Data Mining

networkintrusiondetection

Network Instrusion Detection using KDD'99 dataset

networkintrusiondetectionsystem

networktrafficanalysis

neurotech-nids

DNN-powered network traffic analysis

polichombr

Collaborative malware analysis framework