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SUMMARY:Displacing big data: How cybercriminals cheat the system - Alice H
 utchings\, Computer Laboratory\, University of Cambridge
DTSTART:20181113T140000Z
DTEND:20181113T150000Z
UID:TALK114364@talks.cam.ac.uk
CONTACT:Alexander Vetterl
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. \n\nI will present case studies for a number of diffe
 rent cybercrime types to highlight the methods used for cheating such syst
 ems. I will argue that big data solutions are not a silver bullet approach
  to disrupting cybercrime\, but rather represent a Red Queen’s race\, re
 quiring constant running to stay in one spot.
LOCATION:LT2\, Computer Laboratory\, William Gates Building
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