Real-time detection of cybercrimes

Up to 5 terabytes of data analyzed in real-time everyday

Meet our client


CUSTOMERA global ICT company

How we did it

There is no cybercrime without the backbone of digital crime, Command and Control (C&C) servers and spambots.

The challenge
Building a tool that spots suspicious traffic is a challenge mainly due to the gargantuan amount of real-time data that must be analyzed. The number of factors to consider when making predictions renders the task even harder.

The solution
The pattern of traffic coming to and from C&C servers is repeatable and therefore amenable for pattern recognition techniques.

The model built draws on a variety of techniques including random forests as well as convolutional and recurrent neural networks.

The model takes into account variables including:

  • The domains a suspicious IP connected with
  • Internet usage, including the frequency with which the most popular internet sites were used (Google, Facebook, Netflix etc.)
  • The frequency of DNS connections
  • How many other subjects the suspicious IP communicated with

The effect
The solution analyzes 5 terabytes of data every day to spot C&C servers. It also finds the zombie computers that are linked in the spambots and delivering various services to cybercriminals without users’ knowledge. The system was set to generate 100 suspicious IPs daily – throughout the observation period all of them were found to have been conducting malicious activity (per leading market solution). ~30% gained malicious activity reports in leading market solution with a 1-2 day lag compared to our solution.

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We want to hear from you

Find us
  •, Inc.
  • 2100 Geng Road, Suite 210
  • Palo Alto, CA 94303
  • United States of America
  • Sp. z o.o.
  • Al. Jerozolimskie 162A
  • 02-342 Warsaw
  • Poland
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