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Unifying the Global Response to Cybercrime Measurement of cybercrime Standardisation across Member States CAMINO’s 3rd Experts Workshop 15th-16th June.

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Presentation on theme: "Unifying the Global Response to Cybercrime Measurement of cybercrime Standardisation across Member States CAMINO’s 3rd Experts Workshop 15th-16th June."— Presentation transcript:

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2 Unifying the Global Response to Cybercrime Measurement of cybercrime Standardisation across Member States CAMINO’s 3rd Experts Workshop 15th-16th June 2015 Royal Holloway, University of London, UK Presented: Jart Armin

3 Unifying the Global Response to Cybercrime Metrics, Economics, & Research Roadmap? The annual cost to the global economy from cybercrime? Direct cost to the EU of cybercrime? Direct cost to Germany ? Direct cost to UK? Cybercrime market globally itself? Market for security products and services? EU Research (H2020) into cybercrime? H2020 based on reduced cost of cybercrime? €300 billion Euros €13 billion ~0.4% GDP – 2014 € 2.6 billion /annum € 2 billion /annum €15 billion / annum €50 billion / annum €50 million / annum? €5 million project = €50 million saving / annum in EU on cybercrime

4 Unifying the Global Response to Cybercrime Metrics (1) – Observation

5 Unifying the Global Response to Cybercrime Metrics (2) Cybercrime Observations

6 Unifying the Global Response to Cybercrime Cyber Threats – Attack Traffic The macro effects of cybercrime Who or what are the intruders & attackers? = probes, botnets, zombies, vulnerability scanners, scrapers, malware, worms, DDoS, reflective traffic via misconfigured open resolvers.

7 Unifying the Global Response to Cybercrime Cyber Threats – Attack Traffic The macro effects of cybercrime “Attack traffic,” meaning countries and regions where: port probes, worm, malware, viruses, and reflection attacks………. originate.

8 Unifying the Global Response to Cybercrime Comparing “Intrusion Attempts” with “Peak Traffic Attacks” The macro effects of cybercrime In 2009 - 2012 we observed a 95% correlation between data for intrusion attempts and Traffic attack size We extrapolated the data to make predictions up until 2014

9 Unifying the Global Response to Cybercrime Comparing “Intrusion Attempts” with “Peak Traffic Attacks” The data we predicted matches very well with the real data today There is now a 99% correlation between the intrusion data and the DDoS / Attack data

10 Unifying the Global Response to Cybercrime There is now a 99% correlation between the datasets Peak attack traffic: 2008 - just over 30 GBPs took out Georgia Unlawful intrusion attempts detected: 2014 - 4+ billion 2008 – 0.38 billion

11 Unifying the Global Response to Cybercrime Renewed predictions show attacks exceeding 1 Tbps by 2017

12 Unifying the Global Response to Cybercrime The Compromise of millions of mobile devices  Over the last year (2014/15) > 12 million cellular clients accounts have been compromised in Europe alone.  Such major operators as EE, Orange France, Vodaphone, Talk Talk, O2... Pacnet…and others have all been compromised and this involves broadband accounts as well as cellular.  Added to this we see the Gemalto compromise which involves a potential 2 billion SIM cards, for over 400 networks.  Regardless of who is behind these hacks and their purpose, the cellular operators and cyber security community have to re-focus on to safer cellular system client data and improved safeguards for clients accounts.

13 Unifying the Global Response to Cybercrime Measurement of cybercrime Contact presenter at jart@apwg.org if you are interested in:jart@apwg.org Asking questions Helping with the mobile project: The threats from and to the mobile infrastructure iBots & the Pocket Botnet Mobile Intrusion (micro & macro) Mobile Apps Mobile authentication Encryption for mobiles


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