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Massachusetts Institute of Technology

Application-level distributed denial of service prevention in a replicated system

Abstract

dc:description.abstract

This paper presents the design and implementation of DFQ (Distributed Fair Queueing), a distributed system for defending a replicated set of HTTP servers against application-level distributed denial of service (DDoS) attacks. By using a modification of weighted fair queueing, all clients are guaranteed a fair share of the servers. no matter how many or which servers they connect to. DFQ continues to provide fair service even against malicious clients who are able to spoof additional IP addresses. It is also capable of accommodating HTTP proxies, which regularly provide many times more traffic than a single host. Such properties are desirable for package management servers and the like, whose responsiveness in the presence of flash crowds and malicious attackers is paramount to the security of the overall system.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2007

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Vandiver, Alexander M
Advisor dc:contributor.advisor
  • Hari Balakrishnan.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/46463
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/46463

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Vandiver, Alexander M. Application-level distributed denial of service prevention in a replicated system. Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/46463