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A LIGHT-WEIGHT DISTRIBUTED SCHEME FOR DETECTING IP PREFIX HIJACKS IN REAL TIME Changxi Zheng, Lusheng Ji, Dan Pei, Jia Wang and Paul Francis. Cornell University,

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Presentation on theme: "A LIGHT-WEIGHT DISTRIBUTED SCHEME FOR DETECTING IP PREFIX HIJACKS IN REAL TIME Changxi Zheng, Lusheng Ji, Dan Pei, Jia Wang and Paul Francis. Cornell University,"— Presentation transcript:

1 A LIGHT-WEIGHT DISTRIBUTED SCHEME FOR DETECTING IP PREFIX HIJACKS IN REAL TIME Changxi Zheng, Lusheng Ji, Dan Pei, Jia Wang and Paul Francis. Cornell University, Ithaca, NY SIGCOMM’07

2 Outline  Prefix Hijacking  Problem  Related Work  Solution  Evaluation  Summary

3 Prefix Hijacking  IP Prefix Hijacking is the process of taking over of groups of IP addresses by corrupting the routing tables  An Autonomous System (AS) is a collection of connected IP routing prefixes under the control of one or more network operators (ISP ? ). Routing tables between ASes are maintained using the BGP

4 Problem  Today’s Internet has no authentication mechanisms for routing announcements  Prefix Hijacks:  Blackholing  Imposture  Interception

5 Related Work  Crypto-based solutions require BGP to sign & verify the origin AS [Requires Public Key Infrastructure]  Non-Crypto solutions require changing router softwares so that inter-AS queries are supported

6 Solution – Monitoring Network Location

7 Solution - Detecting Path Disagreement Original Legitimate Route change (Load Balancing, congestion … etc) Prefix Hijacking

8 Evaluation  Detection Accuracy  Detection Latency ( avg. 6.06 ~ 7.38 measurements)  No automatic detection for sub-prefix hijacks  Hop count measurements are countered by manually modifying TTL values

9 Summary  The proposed scheme:  Light-weight  Highly accurate in hijack detection  Real-time detection  Easily deployed ( no network configuration changes, no PK required, no router software changes)


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