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AIEngine – AI-driven Network Intrusion Detection System

November 25, 2019

Views: 7,603

AIEngine is a next-generation interactive/programmable Python/Ruby/Java/Lua and Go AI-driven Network Intrusion Detection System engine with capabilities of learning without any human intervention, DNS domain classification, Spam detection, network collector, network forensics and many others.

AIEngine - AI-driven Network Intrusion Detection System

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

Functionality of AIEngine AI-driven Network Intrusion Detection System

The main functionalities of AIEngine are:

  • 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 six types of NetworkStacks (lan, mobile, lan6, virtual, oflow and mobile6).
  • Support Sets and Bloom filters for IP searches.
  • Supports x86_64, ARM and MIPS architecture over operating systems such as Linux, FreeBSD and MacOS.
  • 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.
  • Support for JA3 TLS Signatures on SSL.
  • Supports protocols such as Bitcoin, CoAP, DHCPv4/DHCPv6, DNS, GPRS, GRE, HTTP, ICMPv4/ICMPv6, IMAP, IPv4/v6, Modbus, MPLS, MQTT, Netbios, NTP, OpenFlow, PPPoE, POP, Quic, RTP, SIP, SMB, SMTP, SSDP, SSH, SSL, TCP, UDP, VLAN, VXLAN.
  • Integration of HTTP Server for retrieve and configure the system.

Using AIEngine AI-driven Network Intrusion Detection System

To use AIEngine(reduce version) just execute the binary aiengine or use the python/ruby/java/lua binding.

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luis@luis-xps:~/c++/aiengine/src$ ./aiengine -h
aiengine 1.9.0
Mandatory arguments:
  -I [ --input ] arg                Sets the network interface ,pcap file or
                                    directory with pcap files.
 
Link Layer optional arguments:
  -q [ --tag ] arg      Selects the tag type of the ethernet layer (vlan,mpls).
 
TCP optional arguments:
  -t [ --tcp-flows ] arg (=32768) Sets the number of TCP flows on the pool.
 
UDP optional arguments:
  -u [ --udp-flows ] arg (=16384) Sets the number of UDP flows on the pool.
 
Regex optional arguments:
  -R [ --enable-signatures ]     Enables the Signature engine.
  -r [ --regex ] arg (=.*)       Sets the regex for evaluate agains the flows.
  -c [ --flow-class ] arg (=all) Uses tcp, udp or all for matches the signature
                 on the flows.
  -m [ --matched-flows ]         Shows the flows that matchs with the regex.
  -M [ --matched-packet ]        Shows the packet payload that matchs with
                                 the regex.
  -C [ --continue ]              Continue evaluating the regex with the
                                 next packets of the Flow.
  -j [ --reject-flows ]          Rejects the flows that matchs with the
                                     regex.
  -w [ --evidence ]              Generates a pcap file with the matching
                                     regex for forensic analysis.
 
Frequencies optional arguments:
  -F [ --enable-frequencies ]       Enables the Frequency engine.
  -g [ --group-by ] arg (=dst-port) Groups frequencies by src-ip,dst-ip,src-por
                    t and dst-port.
  -f [ --flow-type ] arg (=tcp)     Uses tcp or udp flows.
  -L [ --enable-learner ]           Enables the Learner engine.
  -k [ --key-learner ] arg (=80)    Sets the key for the Learner engine.
  -b [ --buffer-size ] arg (=64)    Sets the size of the internal buffer for
                                    generate the regex.
      -Q [ --byte-quality ] arg (=80)   Sets the minimum quality for the bytes of
                                        the generated regex.
  -y [ --enable-yara ]              Generates a yara signature.
 
Optional arguments:
  -n [ --stack ] arg (=lan)    Sets the network stack (lan,mobile,lan6,virtual,
                   oflow).
  -d [ --dumpflows ]           Dump the flows to stdout.
  -s [ --statistics ] arg (=0) Show statistics of the network stack (5 levels).
  -T [ --timeout ] arg (=180)  Sets the flows timeout.
  -P [ --protocol ] arg        Show statistics of a specific protocol of the
                                   network stack.
  -a [ --port ] arg (=0)       Sets the HTTP listenting port.
  -e [ --release ]             Release the caches.
  -l [ --release-cache ] arg   Release a specific cache.
  -p [ --pstatistics ]         Show statistics of the process.
      -o [ --summary ]             Show protocol summmary statistics
                                   (bytes,packets,% bytes,cache miss,memory).
  -h [ --help ]                Show help.
  -v [ --version ]             Show version string.

You can download AIEngine here:

aiengine-1.9.1.tar.gz

Or read more here.

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