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Introduction%20to%20Internet%20Worm

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Title: Introduction%20to%20Internet%20Worm


1
Introduction to Internet Worm
  • Cliff C. Zou
  • CAP6133, Spring08

2
Common forms of malware
  • Malware --- malicious software
  • Viruses
  • Worms
  • Trojan horses
  • Appear to be good but perform malicious actions
  • Spyware, adware
  • Email spam, phishing

3
What is an Internet worm?
  • A code that replicates itself over a computer
    network on its own and usually performs malicious
    actions
  • Exploit a vulnerability in some remote computers
  • OS, installed software has the vulnerability
  • Runs on compromised computers without permission
    from their users
  • Jump from one computer to another through the
    Internet
  • Automatic spreading without any human
    intervention
  • Basic difference from viruses

4
Worm propagation process
  • Find new targets
  • IP random scanning
  • Send TCP/SYN or UDP packet
  • Compromise targets
  • Exploit vulnerability
  • Newly infected join infection army

5
Worm research motivation
  • Code Red (Jul. 2001) 360,000 infected in 14
    hours
  • Slammer (Jan. 2003) 75,000 infected in 10
    minutes Congested parts of Internet (ATMs down)
  • Blaster (Aug. 2003) 150,000 8 million
    infected DDOS attack (shut down domain
    windowsupdate.com)
  • Witty (Mar. 2004) 12,000 infected in half an
    hour Attack vulnerability in ISS security
    products
  • Sasser (May 2004) 500,000 infected within two
    days

Infection faster than human response !
6
How to defend against Internet worm attack?
  • Automatic response required
  • First, understanding worm behavior
  • Basis for worm detection/defense
  • Similar to epidemic spreading
  • Next, worm detection
  • Automatic (catch worm speed)
  • Unknown worm (no known signature)
  • Last, must have autonomous defense
  • False alarm?
  • More advanced worm? (e.g., polymorphic worm)

7
Internet Worm Modeling
  • Internet worm propagation is similar to epidemic
    spreading
  • Borrow models from epidemiology area
  • Modify models based on worms behaviors
  • Simple epidemic model

It of infected N of total population
8
Simple worm propagation model
W
  • address space, size W
  • N total vulnerable
  • It infected by time t
  • N-It vulnerable at time t
  • scan rate (per host), h

9
Worm modeling papers references
  • How to own the Internet in your spear time
  • First modeling paper after Code Red (most
    important paper)
  • On the Performance of Internet Worm Scanning
    Strategies
  • Modeling worm when it uses different scanning
    methods
  • Models of Active Worm Defenses
  • Modeling good worm defense against bad worm
  • Modeling the Spread of Active Worms
  • Modeling based on discrete-time equations

10
Internet worm detection
  • Detection of unknown worm
  • No signature is known before a worms break out
  • Different forms of worm detection
  • Detect a worms breakout in the Internet
  • Minimum, does not provide further information
  • Detect infected hosts in the global Internet
  • Help filtering, protect local networks
  • Detect local infected hosts
  • Help maintenance stop major damage before too
    late
  • Automatic signature generation
  • Most valuable directly help worm filtering

11
Worm detection papers references
  • Monitoring and Early Warning for Internet Worms
  • Fast Portscan Detection Using Sequential
    Hypothesis Testing
  • Cooperative Response Strategies for Large Scale
    Attack Mitigation
  • Automated Worm Fingerprinting
  • Host-based, network traffic-based worm detection
    systems
  • Will be introduced in later topics

12
Internet worm defense
  • Can catch a worms rapid speed?
  • Automatic, quick enough
  • Internet Quarantine Requirements for Containing
    Self-Propagating Code
  • Acceptable false alarm cost?
  • Major reason for slow deployment of automatic
    worm defense systems
  • People tend to forget worms until hit hard
  • Throttling Viruses Restricting Propagation to
    Defeat Mobile Malicious Code

13
Advanced worms ? Polymorphic worms
  • A hot topic in current research community
  • Worm changes its code as it spreads out
  • Use encryption to hide code signature
  • Use code transformation technique for change
  • Make it harder to automatically generate
    signature
  • Two papers (attack/defense)
  • Advanced Polymorphic Worms Evading IDS by
    Blending in with Normal Traffic
  • Polygraph Automatic Signature Generation for
    Polymorphic Worms
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