[MapR Talk] Malware Detection Using Spark

Document created by aalvarez on Nov 30, 2015Last modified by aalvarez on Dec 7, 2015
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Overview

In an effort to help grow organic communities interested in new technologies, MapR speakers around the world provide technical talks on numerous topics. Please browse our MapR Talks Directory  to learn how to search and request a talk in seconds.

 

Abstract

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.

 

KEYWORDS: Data Science, Security, Machine Learning, Spark

 

Location Availability & Request Link

North America. Please refer to theMapR Talks Directory  for specific countries.

You can request this talk here: Speaker Request

 

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