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UID:pretalx-sharkfest-24-us-YJZGZG@conference.wireshark.org
DTSTART;TZID=EST:20240619T114500
DTEND;TZID=EST:20240619T124500
DESCRIPTION:The Internet of Things (IoT) has revolutionized the way we live
  and work\, but it has also created significant challenges for network sec
 urity and asset management. Most businesses have a blind spot when it come
 s to IoT devices\, which creates an opportunity for attackers. Lacking suf
 ficient visibility and control\, these devices provide an easy and inconsp
 icuous way for attackers to infiltrate a network.\nWith a vast array of de
 vices\, identifying what devices are running in the network has become a c
 ritical issue for organizations. Software agents have been the standard wa
 y to collect this information\, but for embedded and IoT devices\, it’s 
 not always possible to install them. An effective solution to this problem
  lies in passive fingerprinting\, which involves matching uniquely identif
 ying patterns in the host’s network traffic and classifying it according
 ly.
DTSTAMP:20260508T113612Z
LOCATION:Great Falls
SUMMARY:Passive Fingerprinting Methods for IoT Profiling - Asaf Fried
URL:https://conference.wireshark.org/sharkfest-24-us/talk/YJZGZG/
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