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www.vis-sense.eu No. 257495 Visual Analytic Representation of Large Datasets for Enhancing Network Security James Davey Fraunhofer Institute for Computer Graphics Research IGD Fraunhoferstraße 5 64283 Darmstadt Phone +49 6151 155-655 | Fax -139 [email protected] www.igd.fraunhofer.de/igd-a3

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Page 1: Vis sense cluster meeting

www.vis-sense.euNo. 257495

Visual Analytic Representation of Large Datasets for Enhancing Network Security

James DaveyFraunhofer Institute for Computer Graphics Research IGDFraunhoferstraße 564283 Darmstadt

Phone +49 6151 155-655 | Fax [email protected]/igd-a3

Page 2: Vis sense cluster meeting

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VIS-SENSE Organisation

6 partners from 4 countries:

� Fraunhofer IGD (Germany) – Coordinator

� CERTH / ITI (Greece)

� Institut EURECOM (France)

� Institut Telecom (France)

� Symantec Ltd. (Ireland)

� University of Konstanz (Germany)

Topic:

Grant Agreement:

Time Frame:

Budget:

Technology and Tools for Trustworthy ICT (2009.1.4)

STREP – 257495

01.10.2010 until 30.09.2013

3,32 million euro / 2.35 million euro EU contribution

Page 3: Vis sense cluster meeting

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Root-Cause Analysis

Use Case: Root-Cause AnalysisUse Case: Root-Cause Analysis

Overview over the Internet threat landscapeOverview over the Internet threat landscape

Zooming OutZooming Out

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Overview – Zooming Out

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Overview – Zooming Out

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Overview – Zooming Out

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Features in an interactive map:

�Position,

�Area,

�Street hierarchy,

�Etc.

Overview – Zooming Out

Our Features:

�I.P. addresses,

�Server names,

�Email addresses,

�Keyword sets,

�Distributions,

�Timestamps,

�Etc.

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Features in an interactive map:

�Grouping is easy and unambiguous

Overview – Zooming Out

Our Features:

�Grouping is difficult

�Grouping is ambiguous

�We need some definition of distance or similarity

Similarity Models

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The TRIAGE (1) approach

� Clustering based on Multi-Criteria Decision Analysis (MCDA)

� Automatic grouping of elements likely to share the same root causes

Σ

Per feature

Graph-based representation

Multi-criteria

Aggregation

(data fusion)

Multi-Dimensional

Clusters (MDC’s)

Events

Features

Selection

1) Triage (med.): process of prioritizing patients based on the severity of their condition

9

9

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Definitions

Entities

Features

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Similarity – Models for Similarity

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Per Feature Similarity Example – Real Numbers

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Grouping with respect to different features

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Aggregate Similarity Example

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An example of Rogue AV campaign

Registration date

750 domains registered over a span of 8 months

/24 network of web server

Domain name

Registrant email

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- domain name patterns- use of whois privacy

protection services

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Rustock

Unclassified

Grum

Cutwail

Subject keywords

Spam event

Bot name

Spam BotnetsInter-relationships

Mega-D

Page 18: Vis sense cluster meeting

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Thanks for Your Attention

IGD

_Fol

ienv

orla

ge_v

2010

.10.

ppt

James DaveyFraunhofer IGDFraunhoferstraße 564283 Darmstadt

Tel +49 6151 155 – 655 | Fax – [email protected]/igd-a3