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DESCRIPTION:   'Title: Geo-Targeting Live Tweets\n   When: Saturday\, Aug 1
 3\, 09:30 - 10:20 PDT\n   Where: LINQ - BLOQ (SkyTalks 303) - [1]Map\n\n  
  SpeakerBio:Chet Hosmer \, Professor of Practice\n   Chet serves as a Prof
 essor of Practice at the University of Arizona in\n   the Cyber Operations
  program where he is teaching and researching the\n   application of Pytho
 n and Machine Learning to advance cybersecurity\n   challenges. Chet is al
 so the Founder of Python Forensics\, Inc. which\n   is focused on the coll
 aborative development of open-source\n   investigative technologies using 
 Python and other popular scripting\n   languages. Chet has been researchin
 g and developing technology and\n   training surrounding forensics\, digit
 al investigation\, and\n   steganography for decades. He has made numerous
  appearances to discuss\n   emerging cyber threats including National Publ
 ic Radio's Kojo Nnamdi\n   show\, ABC's Primetime Thursday\, and ABC News 
 Australia. He has also\n   been a frequent contributor to technical and ne
 ws stories relating to\n   cybersecurity and forensics with Forbes\, IEEE\
 , The New York Times\, The\n   Washington Post\, Government Computer News\
 , Salon.com and Wired\n   Magazine.\n\n   Description:\n   This talk focus
 es on using Python to acquire LIVE open-source\n   intelligence (OSINT) fr
 om tweets and the associated images\, videos\,\n   and translated emojis f
 rom geographically bounded areas anywhere in\n   the world. This method de
 livers a plethora of information (tweets\,\n   images\, videos\, emojis\, 
 friends\, followers\, and detailed mapping of\n   movement) within a speci
 fic time/space continuum\, including\n   chronolocation data. Twitter rout
 inely removes tweets and images from\n   their platform based on policy vi
 olations and other influences. By\n   acquiring them “at the moment they
  are tweeted” provides timely\n   access to live events\, as well as the
  ability to preserve future\n   redacted information. Our ability to gener
 ate alerts of aberrant\n   behaviors through the lens of those on the scen
 e has never been more\n   important. The lecture and demonstration will in
 clude real examples of\n   collections and mapping from war zones\, natura
 l disasters\, social\n   unrest\, and criminal activity.\n   '\n\n   1. ht
 tps://defcon.outel.org/consolidated_page.html#Linq\n\n\n
DTEND:20220813T172000Z
DTSTART:20220813T163000Z
LOCATION:SKY - LINQ - BLOQ (SkyTalks 303)
SUMMARY:Geo-Targeting Live Tweets
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