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Integrating BotMiner and SNARE into SMITE Nick Feamster and Wenke Lee Students: Shuang Hao and Junjie Zhang Georgia Tech
Current Status Implementations using flows from pipeline –SNARE (Perl + R), uses SMTP (port 25) –BotMiner (Java + R + MySQL) Offline performance evaluation BotMiner SNARE
Evaluation Configuration: –1 day of packet capture from university network –2-processor dual-core Intel Xeon 2.0 GHz, with 8 GB of RAM SNARE –Extract features (Perl): seconds, 72 MB –Training (R): seconds, 3.3 GB –Detection time (R): 3.13 seconds, 120 MB BotMiner –Prune, insert into DB: 25,200 seconds –Aggregate c-flows: 61 seconds –Cross-plane correlation: 175 seconds
Next Steps Re-design aspects of SNARE for online detection (currently, works on labeled datasets) Online evaluation in the university network Applying sampling to improve the performance
1 Integrating BotMiner & SNARE into SMITE Nick Feamster and Wenke Lee Georgia Tech Students: Shuang Hao, Junjie Zhang.
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Network-Based Spam Filtering Nick Feamster Georgia Tech with Anirudh Ramachandran, Nadeem Syed, Alex Gray, Sven Krasser, Santosh Vempala.
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Surachai CHITPINITYON Kasom KOHT-ARSA Surasak SANGUANPONG Anan PHONPHOEM Pirawat WATANAPONGSE Chalermpol CHUPAMPUN Office of Computer Services Kasetsart.
Customers currently buying cosmetics New customers interested in Wellness by Oriflame How to reach them – Street promotion – Shakes tastings – Gyms/Offices.
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