university of central florida cap 6135: malware and software vulnerability spring 2012

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University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012 Paper Presentation Dude, where’s that IP? Circumventing measurement-based IP geolocation Phillipa Gill, Yashar Ganjali, Bernard Wong, and David Lie Presenter Ahmad Alzahrani

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University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012. Paper Presentation Dude, where’s that IP? Circumventing measurement-based IP geolocation Phillipa Gill, Yashar Ganjali, Bernard Wong, and David Lie. Presenter Ahmad Alzahrani. Information about the Paper:. - PowerPoint PPT Presentation

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Page 1: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012

University of Central FloridaCAP 6135: Malware and Software Vulnerability

Spring 2012

Paper Presentation

Dude, where’s that IP? Circumventing measurement-based IP geolocation

Phillipa Gill, Yashar Ganjali, Bernard Wong, and David Lie

Presenter

Ahmad Alzahrani

Page 2: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012

Information about the Paper:

Authors:Phillipa Gill and Yashar Ganjali Dept. of Computer Science, University of TorontoDavid Lie Dept. of Electrical and Computer Engineering, University of TorontoBernard Wong Dept. of Computer Science, Cornell University

Presented at the 19th USENIX Security Symposium, on August 12, 2010 in San Jose, CA during the Internet Security session.

Page 3: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012

Background

• What is IP Geolocation?

Page 4: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012

Introduction

Applications benefit from IP Geolocation

–Online advertising –Search engines–Restrict access to online content

• Multimedia

–Fraud Preventions–Geolocation to locate VMs hosted by cloud provider

Page 5: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012
Page 6: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012

Motivation

Who has incentive to circumvent IP geolocation?

Web clients:– Gain access to content– Online payment fraud

Cloud service– Location-based SLAs - cloud providers.

Page 7: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012

Paper Contributions

• Evaluation of two attacks.

• First to study measurement-based geolocation of an adversary

• Studied two models of adversarial geolocation targets (end host & WAN)

Page 8: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012

Background

Page 9: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012

Measurement-based geolocation

Delay-based geolocation (e.g. Constraint-based geolocation Gueye et al. )

Ping!Ping!Ping!

courtesy Phillipa

Page 10: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012

Measurement-based geolocation

Delay-based geolocation (e.g. Constraint-based geolocation Gueye et al. )

Ping!

Ping!

Ping!

Ping!

courtesy Phillipa

Page 11: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012
Page 12: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012

12

courtesy Phillipa

Page 13: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012

Topology-aware geolocation

• Assume no direct path to target.

• Locate also hops on the way.

• Takes into account circuitous network paths.

courtesy Phillipa

Ping!Ping!

Page 14: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012

Measurement-based geolocation

• Delay-based:– Constraint-based geolocation (CBG) [Gueye et al]

– Accuracy: ~ 78-182 km

• Topology-aware:– Octant [Wong et al.]

– Delay between hops on path is considered

– Locate nodes along the path

– Median accuracy: ~ 35-40 km

Page 15: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012
Page 16: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012

Two Attacks have been studied:(1) Delay-adding attack

Increase delay by time to travel the difference

Challenge: how to map distance to delay?

-

- Access to the map function.

ci

322

L3

L2

L11g

2gForgedlocation

Page 17: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012

Two Attacks have been studied:(2) Hop-adding attack

Landmark 1

Landmark 2

1dTargetTarget

2d

Page 18: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012

Two Attacks have been studied:(2) Hop-adding attack

Multiple network entry points

Internal router (each connected to 3) Forged locationcourtesy Phillipa

Page 19: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012

Evaluation

– Are the attacks effective?

– What is the accuracy achieved by the attacker to mislead geolocation.

– Can the attacks be detected?

Experiment1 (Delay-adding Attack)

– Collected measurements inputs using 50 PlanetLab nodes.

– Each node of the 50 takes turn as target.

– Each target moved to 50 forged locations.

Page 20: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012

Delay-adding Attack - Simulation Setup

Page 21: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012

Delay-adding attack (Detectability?)

Page 22: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012

Delay-adding attack (How accurate?)

22

NYC-SFO

700 M/KM

Page 23: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012

Hop-Adding Attack - Simulation Setup

-Targets : 80 nodes (50 in US and 30 in EU)-Forget Locations : 11 inside above WAN

(4 Gateways, 15 Internal Routers)

Page 24: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012

Hop-adding attack (Detectability?)

Page 25: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012

Best-case(delay adding attack)

Hop adding attack

25

Hop-adding attack (How accurate?)

Page 26: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012

RecapSimpleAttacker

SophisticatedAttacker

Delay-basedAttack

1 1

Topology-awareAttack

1 2

1 – Detectable using region size, accuracy depends on distance to forged location.2 – High Accuracy and difficult to detect.

Page 27: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012

Conclusion

• Measurement-Based Geolocation algorithms are susceptible to delay-based and topology measurements.

• Two models of adversaries have been considered.

• Two attacks have been developed and evaluated.

• The more advanced and accurate algorithm is more susceptible to tampering

Page 28: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012

Possible Extensions

• Develop secure measurement protocol to reduce ability of attackers to change measurements .

• Provide real-world results of the proposed attacks to study the effect of network congestion state on accuracy.

Page 29: University of Central Florida CAP 6135: Malware and Software Vulnerability Spring 2012

Qs & As