The Leading eBooks Store Online
for your Apple or Android device, Nook, Kobo, PC, Mac, Sony Reader...
Defense and Detection Strategies against Internet Worms
- iPad
- PC
- e-readers with Adobe Digital Editions installed
- Mac
This book is available for the following devices:
- iPad
- Windows
- Mac
- Sony Reader
- Cool-er Reader
- Nook
- Kobo Reader
- iRiver Story
You can also read this book online in eb20 format without having to download anything.
Printing
Copy/Paste
Read Aloud
After examining how a worm is
constructed and how its major life cycle steps are implemented, the book
scrutinizes targets that worms have attacked over the years, and the likely
targets of the immediate future. Moreover, this unique reference explains how
to detect worms using a variety of mechanisms, and evaluates the strengths and
weaknesses of three approaches - traffic analysis, honeypots and dark network
monitors, and signature analysis. The book concludes with a discussion of four
effective defenses against network worms, including host-based defenses,
network firewalls and filters, application layer proxies, and a direct attack
on the worm network itself.
Contents:
Introduction.
Background and Taxonomy-Worms
defined. Differentiation From Viruses. Their Six Components. Worm Traffic
Patterns. Exponential Growth. Scans, Attacks, Fetch. Worm History. Theory,
Implementations, Use, and Ubiquity. Worm Taxonomy. History. ADMworm, Ramen,
110n, Code Red, CR2, NIMDA, etc. Construction of a Worm. Basic Components and
Implementation.
Worm Trends-Infection
Patterns. Random: Ramen, Code Red 1. Directed. Local Heavy: Code Red 2, NIMDA.
Targets. Servers. Desktops. Broadband vs. Commodity Connections. Possible
futures. Updates. Different Behaviors. Warhol and Flash Worms.
Detection - Reliance on
Knowledge of Set of Behaviors. Traffic Analysis. Traffic Trends (Exponential
Growth). Many Connections Outward. Numerous Random Scans In and Out. Less
Complete Behavior Set Needed (Generic Behavior).Honeypot and Blackhole
Detection. Honeypots: Sit and Wait to be Attacked. Get Hit, Analyze Infection.
Back Scatter Analysis from Scans. Blackhole Captures of Payloads. Signature Based
Analysis. Virus Applications. NIDS Engines. Application Behavior (Zone Alarm,
etc.).
Defenses - Host Level Defenses.
Patching. Virus Detection. Host Based IDS. Firewalling Strategies. General
policies. Specific Policies. Traffic Limits on Hosts. Ingress vs. Egress
Filtering. Proxy Filters. Web. Mail. File. Difficulties: Compressed, Locked
Archives. Unicode. Attacking the Worm Network. Shutdown Messages. Forged
“Already Infected” Replies. Routing Style Attacks. NULL or Poison Updates.
Conclusions-General Summary
and Closing Thoughts.
Jose Nazario is a senior software engineer at Arbor Networks, an internet security company. He is also a consultant and researcher at Crimelabs Research, a think tank and consulting firm. He holds a Ph.D. in biochemistry from Case Western Reserve University. He has published extensively.
318 pages; ISBN 9781580537735
Read online, or download in secure PDF format
- Academic > Mathematics > General > Mathematics
- Academic > Computer Science > Computer science
- Academic > Computer Science > Electronic data processing
- Academic > Computer Science > Computers - special aspects
- Academic > Computer Science > System design; Periodicals
- Academic > Computer Science > Computer security
- Academic > Mathematics > Instruments and machines
- Academic > Mathematics > Geometry. Trigonometry.Topology
- Computers > Internet > Security
- Computers > Security
- Computers > Viruses