NTOPNG

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Description

High-Speed Web-based Traffic Analysis and Flow Collection

ntopng is the next generation version of the original ntop, a network traffic probe that monitors network usage. ntopng is based on libpcap and it has been written in a portable way in order to virtually run on every Unix platform, MacOSX and on Windows as well.

ntopng – yes, it’s all lowercase – provides a intuitive, encrypted web user interface for the exploration of realtime and historical traffic information.

Main Features

  • Sort network traffic according to many criteria including IP address, port, L7 protocol, throughput, Autonomous Systems (ASs)
  • Show realtime network traffic and active hosts
  • Produce long-term reports for several network metrics including throughput and application protocols
  • Top talkers (senders/receivers), top ASs, top L7 applications
  • Monitor and report live throughput, network and application latencies, Round Trip Time (RTT), TCP statistics (retransmissions, out of order packets, packet lost), and bytes and packets transmitted
  • Store on disk persistent traffic statistics to allow future explorations and post-mortem analyses
  • Geolocate and overlay hosts in a geographical map
  • Discover application protocols (Facebook, YouTube, BitTorrent, etc) by leveraging on nDPI, ntop Deep Packet Inspection (DPI) technology
  • Characterise HTTP traffic by leveraging on characterisation services provided by Google and HTTP Blacklist.
  • Analyse IP traffic and sort it according to the source/destination.
  • Report IP protocol usage sorted by protocol type
  • Produce HTML5/AJAX network traffic statistics.
  • Full support for IPv4 and IPv6
  • Full Layer-2 support (including ARP statistics)
  • GTP/GRE detunnelling
  • Support for MySQL, ElasticSearch and LogStash export of monitored data
  • Interactive historical exploration of monitored data exported to MySQL
  • Alerts engine to capture anomalous and suspicious hosts
  • SNMP v1/v2c support and continuous monitoring of SNMP devices
  • Identity Management, including correlation of VPN users to traffic

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