Artificial intelligence packet inspection engine

AIEngine is a next generation interactive/programmable Python/Ruby/Java packet inspection engine with capabilities of learning without any human intervention, NIDS(Network Intrusion Detection System) functionality, DNS domain classification, network collector, network forensics and many others.

AIEngine also helps network/security professionals to identify traffic and develop signatures for use them on NIDS, Firewalls, Traffic classifiers and so on.

The main functionalities of AIEngine
* Support for interacting/programing with the user while the engine is running.
* Support for PCRE JIT for regex matching.
* Support for regex graphs (complex detection patterns).
* Support five types of NetworkStacks (lan,mobile,lan6,virtual and oflow).
* Support Sets and Bloom filters for IP searches.
* Support Linux, FreeBSD and MacOS operating systems.
* Support for HTTP,DNS and SSL Domains matching.
* Support for banned domains and hosts for HTTP, DNS, SMTP and SSL.
* Frequency analysis for unknown traffic and auto-regex generation.
* Generation of Yara signatures.
* Easy integration with databases (MySQL, Redis, Cassandra, Hadoop, etc…) for data correlation.
* Easy integration with other packet engines (Netfilter).
* Support memory clean caches for refresh stored memory information.
* Support for detect DDoS at network/application layer.
* Support for rejecting TCP/UDP connections.
* Support for network forensics on real time.

NetworkStack types
AIEngine supports five types of Network stacks depending on the network topology.
* StackLan (lan) Local Area Network based on IPv4.
* StackLanIPv6 (lan6) Local Area Network with IPv6 support.
* StackMobile (mobile) Network Mobile (Gn interface) for IPv4.
* StackVirtual (virtual) Stack for virtual/cloud environments with VxLan and GRE Transparent.
* StackOpenFlow (oflow) Stack for openflow environments.

Source code
Dpwnload from bitbucket.

git clone

Dpwnload from bitbucket.