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SUMMARY:Displacing big data: How cybercriminals cheat the system. - Dr. Al
 ice Hutchings\, Cambridge
DTSTART:20181025T193000Z
DTEND:20181025T203000Z
UID:TALK113662@talks.cam.ac.uk
CONTACT:Mr Simon Thomas
DESCRIPTION:Many technical approaches for detecting and preventing cybercr
 imes use big data and machine learning\, drawing upon knowledge about the 
 behaviour of legitimate customers and indicators of cybercrime. These incl
 ude fraud detection systems\, behavioural analysis\, spam detection\, intr
 usion detection systems\, anti-virus software\, and denial of service atta
 ck protection. However\, criminals have adapted their methods in response 
 to big data systems. I will present case studies for a number of different
  cybercrime types to highlight the methods used for cheating such systems.
  I will argue that big data solutions are not a silver bullet approach to 
 disrupting cybercrime\, but rather represent a Red Queen’s race\, requir
 ing constant running to stay in one spot.
LOCATION:The Theatre\, Peterhouse
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