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mall

mall项目是一套电商系统，包括前台商城系统及后台管理系统，基于SpringBoot+MyBatis实现，采用Docker容器化部署。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。

markovgamesolvers

This is code for finding the minimax/nash/stackelberg strategy of players in Markov Games.

meta-gdn_anomalydetection

Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

microrank

MicroRank: End-to-End Latency Issue Localization with Extended Spectrum Analysis in Microservice Environments

microservice

microservice with springcloud and docker

microservices-demo

Sample cloud-native application with 10 microservices showcasing Kubernetes, Istio, gRPC and OpenCensus.

microservices-platform

基于SpringBoot2.x、SpringCloud和SpringCloudAlibaba并采用前后端分离的企业级微服务多租户系统架构。并引入组件化的**实现高内聚低耦合，项目代码简洁注释丰富上手容易，适合学习和企业中使用。真正实现了基于RBAC、jwt和oauth2的无状态统一权限认证的解决方案，面向互联网设计同时适合B端和C端用户，支持CI/CD多环境部署，并提供应用管理方便第三方系统接入；同时还集合各种微服务治理功能和监控功能。模块包括:企业级的认证系统、开发平台、应用监控、慢sql监控、统一日志、单点登录、Redis分布式高速缓存、配置中心、分布式任务调度、接口文档、代码生成等等。

midas

Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

midnightinventers

Detection of DDoS in SDN Environment using SVM, Fuzzy C Means Clustering and Entropy based Discretization

mstream

Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

myrpcfromzero

从零开始，手写一个RPC，任何人都能看懂

nash-detect

Code for KDD 2020 paper Robust Spammer Detection by Nash Reinforcement Learning

pdddos-updated

A fork of https://github.com/mach1el/pyddos updated from Python 2 to Python 3, used to demostrate DDos attacks.

pox-stuff

SDN DDoS detection and mitigation

project

DDoS attacks detection by using SVM on SDN networks.

pymidas

Python implementation of MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams

pytorch_cpp

Deep Learning sample programs using PyTorch in C++

radar-java

Java Implementation of Radar: Residual Analysis for Anomaly Detection in Attributed Networks acc. to J.Li (2017)

raft-kv

分布式kv存储

repulsive-grizzly

Application Layer DoS Testing Framework

saasi-experiment

SmartVM Prototype Experiments

sdn_ddos_simulation

An attempt to detect and prevent DDoS attacks using reinforcement learning. The simulation was done using Mininet.

sinan-local

slowhttp2detect

Detection of HTTP/2 Slow DoS Attacks

slowhttp2test

HTTP/2 Application Layer DoS Simulator

slowrate-http2-dos

PoC of five Slow Rate HTTP/2 DoS attacks seen in a research paper

sms-spam-detection

snap-scheduler

Snap Scheduler it is a project with the main objective to make simple scheduling tasks in spring boot applications and guarantee that task run only once even when you have multiple instances of a microservice. This is a common needs in a spring boot microservices application (run in one or many nodes) and needs to run tasks in background with a specific time or recurrence (run many times).

springboot_demo

springboot的demo，跟着b站雷丰阳的视频教程敲的，包括基础篇+核心篇

tobebetterjavaer

Java 程序员进阶之路，该专栏风趣幽默、通俗易懂，对 Java 爱好者极度友好和舒适😄，内容包括但不限于 Java 基础、Java 集合框架、Java IO、Java 并发编程、Java 虚拟机、Java 企业级开发（Maven、Git、SSM、Spring Boot）等核心知识点。