Tamer Hassan, White Ops - #SparkSummit East 2016 - #theCUBE
01. Tamer Hassan, White Ops, Visits #theCUBE. (00:19) 02. Specializing in Bot Protection and Ad Security. (00:48) 03. Variety of Use Cases with Spark. (03:27) 04. Examples of Fraud Models. (06:14) 05. Customization and Product Features. (08:53) 06. Classifying Detection and Prevention Separately. (12:48) 07. Pioneering a New Class of Applications. (15:42) 08. Upcoming Projects in the Next Year. (16:47) Track List created with http://www.vinjavideo.com. https://siliconangle.com/2016/02/18/can-spark-data-tools-stamp-out-cyber-crime-sparksummit/  --- --- Can Spark data tools stamp out cyber crime? | #SparkSummit by R. Danes | Feb 18, 2016 There’s a new cyber crime in town, and in ways it’s bigger and badder than identity theft and credit card fraud. Ad fraud is the sophisticated new way fraudsters make money online — lots of it. Advertisers will lose an estimated $7.2 billion to ad fraud this year — that is unless Tamer Hassan, cofounder and CTO of White Ops, Inc. can find a way to preempt that projection. Tamer spoke to Jeff Frick and George Gilbert, coshots of theCUBE, from the SiliconANGLE Media team, about this new activity and why it’s so attractive to criminals. “It’s one of the few recurring revenue models for cyber crime,” he said, adding that it’s drawn a lot of action away from identity and credit card fraud. It involves getting bots that can’t be differentiated online from humans to view pages and then finding multiple avenues to getting advertisers to pay for those views. One way is to set up a blog for free, get bots to generate tons of views for the site and then show those views to advertisers in a bid to get them to pay to advertise on the site. Big Data beats the bad guys Tamer said that White Ops is using the most cutting-edge technology possible to track and stamp out “all the crazy things bots do to game the system.” The company has generic detection models for all customers, but, “What gets custom sometimes is the reporting and data feeds, and that’s where Spark comes in and is very powerful,” he said. @theCUBE #SparkSummit #Spark #theCUBE @SiliconANGLE theCUBE @Databricks #Databricks