Big Data Intelligence - Or Katz, Akamai and Tsvika Klein, Akamai

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As web application attacks turn into massive campaigns against large corporations across the globe, web application firewall data increases exponentially, leaving security experts with a big data mess to analyze. Pinpointing real attacks in a sea of security event noise becomes an almost impossible tedious task. In this presentation, we will unveil a unique platform for collecting, analyzing and distilling Petabytes of WAF security intelligence information. Using the collected data, we will discuss the OWASP ModSecurity Core Rule Set project's accuracy, and reveal common attack trends, as well as our impressions and suggestions for how to wisely make the best out of the CRS project. See Or Katz and Tsvika Klein's Edge Presentation: http://www.akamai.com/html/custconf/edgetv-security.html#big-data-intel The Akamai Edge Conference is a gathering of the industry revolutionaries who are committed to creating leading edge experiences, realizing the full potential of what is possible in a Faster Forward World. From customer innovation stories, industry panels, technical labs, partner and government forums to Web security and developers' tracks, there’s something for everyone at Edge 2013. Learn more at http://www.akamai.com/edge

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Big Data IntelligenceOr Katz, Principal Security Researcher

Tsvika Klein, Security Product Manager

©2013 AKAMAI | FASTER FORWARDTM

August 30 2013Cyber Attack

Origin: syria

target: major US media sitestype: Orchestrated & synced recon

scan & d.d.o.s

outcome: attacks blocked by akamai konaanalysis: further analysis made using

Akamai’s security big data platform...

©2013 AKAMAI | FASTER FORWARDTM

Aug-20 Sep-11Aug-30 Sep-4

Attacks from Syria (Aug-Oct)

Avg. Attacks from Syria (2013)

سوريا (Syria) Google Trends

Attacks from TOR Network

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The AUG-30 Syrian Attack Deconstructed…

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Big Data - Introduction

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Akamai is Big Data

30% of Internet traffic Delivered by Akamai

100K+ Edge servers Collecting data in real time

734 Million IPv4 addresses seen by Akamai (quarterly)

30 Billion Security events logged

260 Terabytes Compressed daily logs

Security Big Data Challenge #1

Security Big Data Challenge #2

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Rate Triggers

IP Table Logs

WAF Triggers

Akamai’s Big Data Platform – High Level Architecture

Big Data Platform

Geo InfoGeo Info

HTTPHTTP

IPIP

Client Reputatio

n

SARA Client Reputation Threat Reports

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Security Analytics with SARA

• Interactive Tool to Analyze Kona Events

• Reporting Engine to generate the WAF Analysis Report

©2013 AKAMAI | FASTER FORWARDTM

Client Reputation

Record past behavior and use the data to protect everyone

• Analyze activity over the Internet• We see majority of all Web users over period of one month

• Focus on the source of the attack

• Identify good and bad clients based on past behavior

• Define an attack reputation score for clients

• Filter malicious client based on reputation score

• Distributed to over 100K Edge servers

• Shared across our customers

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Client Reputation Definition

“To provide security intelligence … a reputation provider must take

action in three phases. It must collect relevant data, it must analyze this

data for security intelligence … and it must distribute the results quickly

and efficiently to security policy enforcement ...”

Source: Gartner, Dec 2012

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Big Data analysis – Use cases

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Web LOIC

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Web LOIC Attack

Attackers!

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Grow revenue opportunities with fast, personalized

web experiences and manage complexity from peak

demand, mobile devices and data collection.

©2013 AKAMAI | FASTER FORWARDTM

Scraping Bot Net

Attacker - $?$?$

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Anonymous Networks

• Tor

• Opera mini (cloud browsing)

• Blackberry infrastructure

• Cloud services

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Big Data - Summary

• Insight like never before

• Helps to address the evolving threat landscape

• Innovative security solutions to protect our customers

©2013 AKAMAI | FASTER FORWARDTM

Glance into the Future

Fraud Prevention

Risk Based Authentication

Adaptive Security Controls

Simplified Configuration

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