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DTSTAMP:20241202T170346Z
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DTSTART;TZID=Europe/Berlin:20241202T163000
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DESCRIPTION:The Bavarian research network ForDaySec is an interdisciplinary
  research association for improving IT security in everyday digital life. 
 The focus is on the development of technologies and solutions suitable for
  everyday use\, with which the opportunities of digitization can be safely
  exploited in various areas of life and work. In this talk we report on re
 cent results in the use of IoT devices in security applications.\n\nIntern
 et of Things (IoT) devices have been reportedly used to spy on guests in h
 otels or privately rented accommodations in recent years. Such attacks can
  be mitigated by users\, especially those at higher security risk\, by det
 ecting such devices\, localizing them\, and subsequently disabling their i
 ntrusive functionality. Our work introduces a system that allows a user wi
 thout specific technical knowledge not only to detect and physically locat
 e hidden IoT devices but further also to isolate devices that are perceive
 d as threats from the network without physical intervention. For the forme
 r\, the system provides a visual aid using augmented reality\, for the lat
 ter we integrate de-authentication attacks on the Wi-Fi network based on t
 he network information collected during device localization. The prototype
  of the system is implemented as an iOS application\, connected to a Raspb
 erry Pi\, and evaluated on a set of 18 different test devices. Compared to
  previous research our system shows comparable or even better results. It 
 discloses devices within 3s with a detection rate of at least 90%\, locali
 zes them in 3D space visualized using augmented reality with an approximat
 e accuracy of 0.4m\, and isolates 100% of the devices for at least 180s (a
 nd potentially longer).\n\nSpeaker(s): Prof. Dr. Stefan Katzenbeisser\n\nA
 genda: \nWebinar with a Q'n'A session\n\nVirtual: https://events.vtools.ie
 ee.org/m/440577
LOCATION:Virtual: https://events.vtools.ieee.org/m/440577
ORGANIZER:anagno02@ads.uni-passau.de
SEQUENCE:31
SUMMARY:Securing Everyday Digital Life - An Approach towards Detection\, Pr
 ecise Localization\, and Effective Isolation of Concealed IoT Devices in U
 nfamiliar Environments
URL;VALUE=URI:https://events.vtools.ieee.org/m/440577
X-ALT-DESC:Description: <br /><p>The Bavarian research network ForDaySec is
  an interdisciplinary research association&nbsp\;for improving IT security
  in everyday digital life. The focus is on the development of&nbsp\;techno
 logies and solutions suitable for everyday use\, with which the opportunit
 ies of&nbsp\;digitization can be safely exploited in various areas of life
  and work. In this talk&nbsp\;we report on recent results in the use of Io
 T devices in security applications.<br><br>Internet of Things (IoT) device
 s have been reportedly used to spy on guests in hotels or privately rented
  accommodations in recent years.&nbsp\;Such attacks can be mitigated by us
 ers\, especially those at higher security risk\, by detecting such devices
 \, localizing them\, and subsequently disabling their intrusive functional
 ity.&nbsp\;Our work introduces a system that allows a user without specifi
 c technical knowledge not only to detect and physically locate hidden IoT 
 devices but further also to isolate devices that are perceived as threats 
 from the network without physical intervention.&nbsp\;For the former\, the
  system provides a visual aid using augmented reality\, for the latter we 
 integrate de-authentication attacks on the Wi-Fi network based on the netw
 ork information collected during device localization.&nbsp\;The prototype 
 of the system is implemented as an iOS application\, connected to a Raspbe
 rry Pi\, and evaluated on a set of 18 different test devices. Compared to 
 previous research our system shows comparable or even better results. It d
 iscloses devices within 3s with a detection rate of at least 90%\, localiz
 es them in 3D space visualized using augmented reality with an approximate
  accuracy of 0.4m\, and isolates 100% of the devices for at least 180s (an
 d potentially longer).</p><br /><br />Agenda: <br /><p>Webinar with a Q'n'
 A session</p>
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