Displacing big data: How cybercriminals cheat the system

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• Alice Hutchings, Computer Laboratory, University of Cambridge
• Tuesday 13 November 2018, 14:00-15:00
• LT2, Computer Laboratory, William Gates Building.

If you have a question about this talk, please contact Alexander Vetterl.

Many technical approaches for detecting and preventing cybercrimes use big data and machine learning, drawing upon knowledge about the behaviour of legitimate customers and indicators of cybercrime. These include fraud detection systems, behavioural analysis, spam detection, intrusion detection systems, anti-virus software, and denial of service attack 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, requiring constant running to stay in one spot.

This talk is part of the Computer Laboratory Security Seminar series.

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• All Talks (aka the CURE list)
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• Computer Laboratory Security Seminar
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• LT2, Computer Laboratory, William Gates Building
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