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BEGIN:VEVENT
UID:664@lincs.fr
DTSTART;TZID=Europe/Paris:20211020T104500
DTEND;TZID=Europe/Paris:20211020T120000
DTSTAMP:20211103T130630Z
URL:https://www.lincs.fr/events/pcap-tools-for-practical-traffic-monitorin
 g-in-lan/
SUMMARY:PCAP tools for practical traffic monitoring in LAN
DESCRIPTION:Pcap (Packet CAPture) is an API for network monitoring in
 network\, essentially in LANs (Ethernet\, WiFi). It is mainly use for
 passive monitoring (packet capture) but it can also be used for active
 monitoring (packet injection). There are implementations for Linux
 (libpcap)\, Apple (libpcap) and Windows (WinPcap\, Npcap and Win10Pcap)
 systems. Pcap is used by tcpdump\, tshark and Wireshark software\, but you
 can make your own software using it. In this session of Internet
 Measurement Reading Group\, we will present how it works\, how it can be
 used with Node.js (cap and pcap modules) and Python (Scapy)\, with some
 application uses cases. For the applications use cases\, we will explain
 how we used Pcap for IoT device type identification and how we are using
 Pcap in our current IoT Network Monitoring project.
 \n\n\n\n&nbsp\;\n\nReferences\n\nPcap:\nhttps://www.tcpdump.org/\npcap file
 format:
 https://wiki.wireshark.org/Development/LibpcapFileFormat\n\n\nNode.js
 modules:\n- node_pcap (pcap): https://www.npmjs.com/package/pcap\n- cap:
 https://www.npmjs.com/package/cap\n\n\nPython module:\n- scapy:
 https://scapy.readthedocs.io/en/latest/\n\n\nApplication example:\nNesrine
 Ammar\, Ludovic Noirie\, Sébastien Tixeuil\, "Autonomous IoT Device
 Identification Prototype\," best demo paper at Network Traffic Measurement
 and Analysis Conference 2019\, Jun 2019\,
 Paris\nhttps://dx.doi.org/10.23919/TMA.2019.8784517\n\nPresentation
 materials: Jupyter notebook used during the presentation\n\n\nZipped folder
 with Jupyter notebook and attached files: link to archive.\nHTML version of
 the Jupyter notebook: link to the html version of the notebook.\n
CATEGORIES:Internet Measurement,Working Group
LOCATION:Paris-Rennes Room (EIT Digital)\, 23 avenue d'Italie\, 75013
 Paris\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=23 avenue d'Italie\, 75013
 Paris\, France;X-APPLE-RADIUS=100;X-TITLE=Paris-Rennes Room (EIT
 Digital):geo:0,0
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