Project: Machine Learning for Security Analytics powered by SAP HANA

Team: Prof. Dr. Christoph Meinel, Feng Cheng, Andrey Sapegin, Marian Gawron, David Jaeger, Amir Azodi, Hendrik Graupner

Research institution: Hasso-Plattner-Institut Potsdam

Abstract: This proposal describes a followup project concept of our previous Future SOC Lab projects “An Efficient Alert Correlation Platform for Distributed IDS” (2012 Fall) and “Towards an Integrated Platform for Simulating, Monitoring, and Analytics of SAP Software” (2013 Spring and Fall). Within this project we aim to clean up the results from the previous projects by developing and testing an integrated HANAbased Event Monitoring and Analytics system, which is suppose to be capable of analyzing huge amount of realtime events from various sources in the real time. The integration and testing of the SAP HANA PAL analytics as well as selfimplemented (mostly in R) complex Machine Learning algorithms is the focus of this project.

Last modified 5 years ago Last modified on Apr 9, 2014 6:47:01 PM