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The Internet Motion Sensor: A Distributed Blackhole Monitoring System Authors: Michael Bailey, Evan Cooke, Farnam Jahanian, Jose Nazario, and David Watson.

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Presentation on theme: "The Internet Motion Sensor: A Distributed Blackhole Monitoring System Authors: Michael Bailey, Evan Cooke, Farnam Jahanian, Jose Nazario, and David Watson."— Presentation transcript:

1 The Internet Motion Sensor: A Distributed Blackhole Monitoring System Authors: Michael Bailey, Evan Cooke, Farnam Jahanian, Jose Nazario, and David Watson Publication: Proceedings of the 12th Annual Network and Distributed System Security Symposium (NDSS), San Diego, CA, Feb. 2005. Presenter: Brad Mundt for CAP6133 Spring ‘08

2 Motivation Stability and integrity of national infrastructure Rapid moving threats Worms DDOS Routing Exploits Globally scoped No geographic or topological boundaries Evolutionary threats

3 Monitoring Dark address space No legitimate hosts Misconfiguration Attack Challenges Sensor coverage Service emulation

4 Internet Monitoring System (IMS) Distributed globally scoped Internet threat monitoring system Sensor network Lightweight responder Payload signature and caching

5 IMS Architecture

6 Sensor Network Designed to measure, characterize, and track Less in-depth information Increase global threat visibility Wide and distributed address blocks 28 distinct monitored blocks 18 physical installations Query system to connect all sensors Beyond scope of the paper

7 Lightweight responder Get responses across ports without application related information Service agnostic: Responds to SYN requests on all ports In UDP connection, payload can arrive in first packet In TCP connections, payload arrives after connection

8 Lightweight responder Infection responses by target

9 Lightweight responder Passive aspect captures UDP based attacks Active aspect initiates TCP connection Elicits payload to differentiate traffic Many threats use same ports IMS responds to SYN requests on all ports

10 Lightweight responder Differentiate Services

11 Hashing and caching MD5 hash the packet payload If new Add hash to DB Cache payload for analysis If already seen Log Also good for metrics

12 Metrics Worm behaviors Virulence Demographics Propagation Community Reponse Scanning DDOS

13 Worm lifecycle

14 Worm presence

15 Scanning

16 DDOS

17 Summary A globally scoped Internet monitoring system Wide, dark address monitoring Blackhole networking Three components Distributed Monitoring Infrastructure Lightweight Active Responder Payload Signatures and Caching

18 Contributions A wider scope IMS in dark address blocks Layer 3 lightweight responder Unique payload caching by hashing

19 Weaknesses Limited analysis from the lightweight responder No layer 7 information, all layer 3 Sensors could be identified Fingerprinted Blacklisted

20 How to Improve Anti-fingerprinting techniques Sensor rotation Source squelching Blackhole masking with simulated hosts and topology Hybrid system Combine host-based sensors with wide address space monitors Additional techniques for characterizing attackers OS fingerprinting Firepower calculations

21 The End Thank you…


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