DocumentCode
3397311
Title
DDoS tolerant networks
Author
Feinstein, Laura ; Schnackenberg, Dan ; Balupari, Ravindra ; Kindred, Darrell
Volume
2
fYear
2003
fDate
22-24 April 2003
Firstpage
73
Abstract
The nature of the threats posed by distributed denial of service (DDoS) attacks on large networks, such as the Internet, demands effective detection and response methods. These methods must be deployed not only at the edge but also at the core of the network. The DDoS tolerant networks technology incorporates methods to detect, characterize, and respond to DDoS attacks by computing entropy and frequency-sorted distributions of selected packet attributes. Preliminary results indicate that these methods can be effective against current attacks and suggest directions for improving detection of more stealthy attacks.
Keywords
Internet; entropy; fault tolerant computing; military computing; security of data; statistical distributions; telecommunication security; DARPA; DDoS attacks; DDoS tolerant networks; Internet; distributed denial of service; entropy; frequency-sorted distributions; selected packet attributes; stealthy attack detection; Computer crime; Contracts; Distortion measurement; Entropy; Face detection; Face recognition; Internet; Manuals; Page description languages; Telecommunication traffic;
fLanguage
English
Publisher
ieee
Conference_Titel
DARPA Information Survivability Conference and Exposition, 2003. Proceedings
Print_ISBN
0-7695-1897-4
Type
conf
DOI
10.1109/DISCEX.2003.1194924
Filename
1194924
Link To Document