Towards cloud based intelligence services an ip reputation system to detect financial drones
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Towards Cloud-based Intelligence Services: an IP Reputation system to detect financial drones. Agenda. Motivation. The Intelligence Cloud in a Glimpse. Blacklist-based IP Reputation Service. Quality of an IP Blacklist. Example. Implementation. Conclusions and Future Works.

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Towards cloud based intelligence services an ip reputation system to detect financial drones

Towards Cloud-based Intelligence Services: an IP Reputation system to detect financial drones

Confab IV, July-2010


Agenda

Agenda

  • Motivation.

  • The Intelligence Cloud in a Glimpse.

  • Blacklist-based IP Reputation Service.

  • Quality of an IP Blacklist.

  • Example.

  • Implementation.

  • Conclusions and Future Works.

Confab IV, July-2010


Motivation

Motivation

  • Data (and Intelligence!) sharing is a must to mitigate financial cybercrime.

  • Unfortunately, useful data is dispersed (IP blacklists), unformatted (whois responses) or is not easy to find (ccTLD Registrars).

  • The Cloud looks like a promising enabler, but ironically the bad guys are adopting it easier than us! (See DarkClouds).

  • Is the Cloud useful to deploy Intelligence Servicesin order to fight financial cybercrime?

Confab IV, July-2010


The intelligence cloud in a glimpse

The Intelligence Cloud in a glimpse

  • Being developed as part of a joint project (anti-phishing/botnets) with one of the biggest saving banks in Spain (+10M online banking users).

Bank premises

WhoisCcTLD

Antifraud system

Private Cloud

SiteAvailability

IPReputation

CSIRT

Confab IV, July-2010


The blacklist based ip reputation service

The Blacklist-based IP Reputation Service

  • Traditional detection mechanisms (i.e. behavioral traffic analysis) are not effective against financial botnets, mainly due to their stealthy nature.

  • Most financial institutions use a-posteriori approaches, i.e. behavior analysis of transaction logs.

  • Clear need of real-time detection mechanisms.

  • Proposed approach:

Confab IV, July-2010


Quality of an ip blacklist

Quality of an IP Blacklist

  • Hypothesis: An aggregated set of IP blacklists might be used to compute the reputation (botnet membership) of incoming connections.

  • We have contributed with a novel a framework that computes a quantitative score or reputation for a particular IP blacklist.

  • Applied the framework to a set of 5 different IP blacklists, comparing them versus 2 sets of known Zeus' infected IPs (aprox. 35.000 records among drones and C&C)

  • The experiment ran uninterruptedly during February 2010, retrieving the blacklists in an hourly-basis (aprox. 110 Gb of data equivalent to 537.000.000 of IPs).


Example

Example

  • Taking only into account the Completeness parameter, if a particular IP hits versus lists A,B and D then its reputation is:

    1*6,39 + 1*61,95 + 1*26,05 = 94,39 out of 104,18


Implementation

Implementation

Private Cloud deployment or

?

Each node stores up to 4 million IPs in RAM


Conclusions and future works

Conclusions and Future Works

  • Cloud-based Intelligence services might trigger data sharing to fight financial cybercrime.

  • Data mashups are a useful technique for these Cloud services (have you seen Maltego(TM)?).

  • IP reputation metrics are being further investigated.

  • Ongoing collaborations with interested parties, i.e. APWG and some well-know blacklists providers.

  • Like to approach projects like CoMiFin.

  • Begin deployments in public/hybrid Clouds (under evaluation).


Agenda

Gràcies

Gracias

Thankyou

Dr. Jesús Luna

SeniorResearcher

[email protected]


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