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Inferring Internet Denial-of- Service Activity David Moore, Geoffrey M Voelker, Stefan Savage Presented by Yuemin Yu – CS290F – Winter 2005
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Outline Motivation Attack types Backscatter analysis Results Conclusion
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Motivation “How to prevalent are DOS attacks today on the internet?” Nature of the current treats Longer term analyses of trends and recurring patterns of attacks Publish quantitative data about attacks
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Attack Types Logic attacks Exploit software vulnerabilities Software patches Flooding attacks Distributed DoS Spoof source IP address randomly Exhaust system resources
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Backscatter Attacker uses randomly selected source IP address Victim reply to spoofed source IP Results in unsolicited response from victim to third party IP addresses
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Backscatter
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Backscatter Analysis m attack packets sent n distinct IP address monitored Expectation of observing an attack: R’ Actual rate of attack: R extrapolated attack rate
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Analysis Assumptions Address uniformity Spoof at random Uniformly distributed Reliable delivery Attack and backscatter traffic delivered reliably Backscatter hypothesis Unsolicited packets observed represent backscatter
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Attack classifications Flow-based Based on target IP address and protocol Fixed time frame (Within 5mins of most recent packet) Event-based Based on target IP address only Fixed time frame
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Data collection /8 network 2^24 IP 1/256 of internet address space
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Data collections Collect data extract following information TCP flags ICMP payload Address uniformity Port settings DNS information Routing information
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Response/Used Protocols
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Rate of attack
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Victims by ports
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Attack Duration Cumulative - Probability Cumulative probability density
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Top level domain
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Victims by Hostnames
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Autonomous System
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Repeated Attacks
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Conclusion Observed 12,000 attacks against more than 5,000 distinct targets. Distributed over many different domains and ISP Small # long attacks with large % of attack volume An unexpected amount of attacks targeting home, foreign, specific ISP
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Thanks Questions?
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