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Improving abuse detection @ Membership Projects related to Haoyang Yuan

Membership DataSciX Presentation

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Page 1: Membership DataSciX Presentation

Improving abuse detection @ Membership

Projects related to Haoyang Yuan

Page 2: Membership DataSciX Presentation

can we leverage external threat intelligence

to prepare for traffic behaviors we haven’t seen?

RAPTOR

31 sources of hourly threat intelligence

Page 3: Membership DataSciX Presentation

27,522 suspicious registrations that

Yahoo did not classify as suspicious

351 suspicious registrations that

were classified as suspicious by Yahoo as well

Cross-referencing new signals with past logins and registration logs

(24 Hours of Data, 10% of Raptor’s data sources)

37,580 suspicious logins that

Yahoo did not classify as suspicious

119,311 suspicious logins that were classified as suspicious by

Yahoo as well

Page 4: Membership DataSciX Presentation

How to get login context?

If data is delayed → no sense of previous login behavior!Can’t respond quickly!

HDFSLogin Server 15 minutes

Baltar alarm!

Data Rainbow Highway

?

Page 5: Membership DataSciX Presentation

How to get login context?

Real-time login context to help classification

(e.g. unique user count by IP in last minute)

HDFS15 minutes

10 msStorm Topology

1 million/minute

More time

Login Server

Page 6: Membership DataSciX Presentation

Thanks

youngsam

kevin

francis the great