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dc.contributor.advisorKundur, Deepa
dc.creatorDube, Raghav
dc.date.accessioned2005-02-17T21:02:33Z
dc.date.available2005-02-17T21:02:33Z
dc.date.created2004-12
dc.date.issued2005-02-17
dc.identifier.urihttps://hdl.handle.net/1969.1/1476
dc.description.abstractThe use of Internet has revolutionized the way information is exchanged, changed business paradigms and put mission critical and sensitive systems online. Any dis- ruption of this connectivity and the plethora of services provided results in significant damages to everyone involved. Denial of Service (DoS) attacks are becoming increas- ingly common and are the cause of lost time and revenue. Flooding type DoS attacks use spoofed IP addresses to disguise the attackers. This makes identification of the attackers extremely difficult. This work proposes a new scheme that allows the victim of a DoS attack to identify the correct origin of the malicious traffic. The suggested mechanism requires routers to mark packets using adjusted probabilistic marking. This results in a lower number of packet-markings required to identify the traffic source. Unlike many related works, we use the existing IPv4 header structure to incorporate these markings. We simulate and test our algorithms using real Internet trace data to show that our technique is fast, and works successfully for a large number of distributed attackers.en
dc.format.extent534089 bytesen
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherTexas A&M University
dc.subjectDenial of Service Attacksen
dc.subjectIP tracebacken
dc.subjectprobabilistic packet markingen
dc.subjectpath reconstructionen
dc.titleDenial of Service attacks: path reconstruction for IP traceback using Adjusted Probabilistic Packet Markingen
dc.typeBooken
dc.typeThesisen
thesis.degree.departmentElectrical Engineeringen
thesis.degree.disciplineElectrical Engineeringen
thesis.degree.grantorTexas A&M Universityen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelMastersen
dc.contributor.committeeMemberReddy, A. L. Narasimha
dc.contributor.committeeMemberChoobineh, Joobin
dc.contributor.committeeMemberMiller, Scott L.
dc.type.genreElectronic Thesisen
dc.type.materialtexten
dc.format.digitalOriginborn digitalen


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