在学习CTF、网络安全路上整合自己博客和一些资料，持续更新~

网络安全学习wiki，包括Web安全、内网安全、云安全、免杀绕过等（持续更新）

My Learning Record for Cyberspace security -- Pwn

To maintain a secure and efficient network in a constant cyberspace evolution, it is necessary to monitor and analyze the state of the network in real time. However, this is difficult nowadays due to the enormous scalability of networks and the huge amount of traffic to analyze. The rapid growth in traffic volume has imposed major challenges for traditional surveillance platforms. Indeed, the methods of analysis traditional networks, which generally run on a single machine, do not are more suitable for huge traffic data due to their low capacity of treatment. Big data frameworks, such as Hadoop and Spark, can handle efficient scanning tasks even for a very large amount of network traffic. This project aims to design and implement an analysis platform in near real-time network traffic for security purposes using big data technologies. This platform will allow the capture of packets and / or flow data from a or multiple collection points in the enterprise network. Then, it will rely on methods effective analysis (statistics, machine learning, etc.) to get a picture complete network security events (identification of flows, detection of threats, etc.) and generate alerts Keywords: Big data, Network security, Network traffic analysis (NTA), Kafka stream Spark streaming