Malware Detection Using Spark

Big Data Bellevue Meetup takes place at Intelius headquarters in Bellevue. Intelius provides the only centralized service for delivering comprehensive information about people, places, organizations, and their connection to each other. Our state-of-the-art big data technology platform is utilized across a wide range of industries to implement specific solutions.

On the third Wednesday of each month, we invite an industry leader in Big Data to give a presentation followed by a lively discussion on big data technology and its impact on business world. Past speakers include researchers from the University of Washington, as well as senior members of various companies, such as Microsoft, Amazon, eBay, IBM, MapR and inome.

inome graciously provides free drink and pizza!

Malware Detection Using Spark

The IT environment is rapidly changing: new technology stacks emerge every year that serve billions of people worldwide. However, many of these new technologies have not been thoroughly tested, and as a result, they have been targeted by malware writers. Target and eBay may just be the tip of the iceberg in terms of massive data breaches.

Technology may be advancing at a breakneck pace, but so has the advancement of malware and advanced persistent threats (APT). Given the large number of threat types, signature-based detection is a limited solution. The good news is that big data and automated machine learning technologies are also rapidly advancing. We are now at the start of the new era where big data and machine learning can potentially stop zero-day attacks.

In this talk, we will review security software and big data technologies such as Spark that can work together in order to prevent perennial malware attacks.

Sungwook Yoon, Data Scientist, MapR Technologies

Sungwook is a Data Scientist at MapR. Sungwook's data experience includes malware detection algorithms for packet stream analysis, mobile network signaling analysis, social network analysis, job title analysis as well as call center data analysis. Before joining MapR, Sungwook worked as an architect for Seven Networks, a company that delivers device-centric mobile traffic management and analytics for wireless carriers. Previously, Sungwook worked as a Research Scientist at Palo Alto Research Center, where he worked on projects for both DARPA and Xerox. Sungwook's main technical background lies in Artificial Intelligence and Machine Learning. His Artificial Intelligence reserach has been published in top-tier conferences and journals, including AAAI, ICAPS, NIPS, UAI, ICML, JAIR, and JMLR.

Sungwook holds a Ph.D. in Computer Engineering from Purdue University,and M.S.and B.S. degrees in Electrical Engineering from Seoul National University.