DPI Engine

The growing number of cyber crimes and web attacks demonstrate how continuously threatened the current state of web security is. Hackers are eager to breach your web security and demolish the web application you spent so much time developing. Additionally, as time goes on, cyber-attacks become more sophisticated, making it essential for your online business to combat them in order to survive online.

One of the top players in the web security field, deep packet inspection (DPI), has the capacity to outsmart contemporary web threats.

CloudScape’s Deep Packet Inspection Engine provide in-depth analysis of captured and stored packets to investigate and decipher the root cause of exceptionally challenging network and application issues.

It is noteworthy to point out that CloudScape’s DPI Engine can not only be deployed in normal IP network, but also in various types of mobile networks. Through real-time collection of packets on interfaces such as Gb, IuPS, Gn, S1-U, and N3 of mobile communication networks, DPI is performed to obtain user, location, business and traffic information. The Engine can share the data with third-party systems through specific APIs.

 

Supported Interfaces

  • GSM/GPRS/TD/WCDMA mobile network ：Gb、Gn、Gi、Iups etc.
  • CDMA2000 network：A10、A11、A12 etc.
  • WLAN network：AP/AC
  • LTE network：S11、S1-U
  • 5G network：N11、N3、N4

 

Supported Applications

Covering thousands of Internet/mobile Internet applications, which include instant messaging, P2P, music audio, online video, stock securities, online games, life services, industry software and IANA standard network protocols, etc.

 

Product Features

With CloudScape’s DPI Engine, the following capabilities can be built:

Real-time Network Monitoring – Granular views, into what is actually happening in the network – for operational monitoring and real time troubleshooting

Network Analytics – Out-of-the-box dashboards, featuring aggregated and near real-time analytical insights on network performance, utilization, and subscribers’ perceived QoE. Accurately analyze user behavior characteristics and accurately reflect user portraits

Excellent Performance – The Engine adopts a customized real-time architecture, there is almost no delay in network data packet acquisition. According to the data analysis and calculation in the actual network environment of the operator, the average delay of the data packet from the acquisition to the analysis result is <= 17ms

Logical Architecture