On The Insider: Britney's Bikini-Clad Top 10
BNET Business Network:
BNET
TechRepublic
ZDNet

FREE Registration is required

Overview:

Detection of slow worms is particularly challenging due to the stealthy nature of their propagation techniques and their ability to blend with normal traffic patterns. This paper, proposes a distributed detection approach based on the Generalized Evidence Processing (GEP) theory, a sensor integration and data fusion technique. With GEP theory, evidence collected by distributed detectors determines the probability associated with a detection decision under a hypothesis. The collected evidence is combined to arrive at an optimal fused detection decision by minimizing a cumulative decision risk function. Typically, malicious traffic flows of varying scanning rates can occur in the wild, and the difficulty in detecting slow scanning worms in particular can be exacerbated by interference from other traffic flows scanning at faster rates.

(Is this item miscategorized? Does it need more tags? Let us know.)

Format:PDFSize:312 KB
Date:Jan 2009
Pages:8

White Papers, Webcasts, and Resources

Featured Training Courses

Meet Doc

Returning users: Log In Here!

Already registered on BNET, TechRepublic, or ZDNet? Simply log in.

Free Membership: Sign Up Now!

Sign up for a free membership today and get instant and unlimited access to one of the largest databases of white papers, webcasts, and casestudies anywhere. Your FREE membership allows you to:

  • Download an unlimited amount of content, including classic and current white papers, case studies, webcasts and more
  • Track content on your chosen topics of interest
  • Receive targeted email alerts when your favorite content is added
  • Save content for future reading
  • Receive our member newsletter

When you register to access this library, you allow us to share your information with companies that produce products or services featured in the library--so that such companies may contact you with information and offers regarding their products and services. This enables us to keep the library a free service. As a library registrant, you will receive a complimentary subscription to the ZDNet white paper newsletter and e-mail Must-Read News Alerts. You can unsubscribe from these at any time. By clicking the Sign up button, you indicate that you agree to our Terms and Conditions and have read and understand our Privacy Policy (updated).