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Erschienen in:
Web Information Extraction on Multiple Ontologies Based on Concept Relationships upon Training the User Profiles Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

A Novel Algorithm on IP Traceback to Find the Real Source of Spoofed IP Packets

verfasst von : M. Vijayalakshmi, N. Nithya, S. Mercy Shalinie

Erschienen in: Artificial Intelligence and Evolutionary Algorithms in Engineering Systems

Verlag: Springer India

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Abstract

With the availability of Internet at the doorsteps in recent years, there has been a wide range of invasions from strangers such as distributed denial of service (DDoS) attacks. DDoS can be launched from any location, draining resources of the victim machine or network. The original IP address of the attacker is more often spoofed; hence, an IP traceback scheme is needed to trace the source of a packet. In this paper, we propose a novel marking algorithm which provides a single packet traceback directly at the victim’s location. The marking algorithm is simple to use with negligible computation and no storage overhead, compared to existing system. Further, the traceback is in convenience to the victim as the entire network traversal or out of band message to identify the attack source is not needed.

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Vorheriges Kapitel State Variable Filter Design Using Improvised Particle Swarm Optimization Algorithm
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Metadaten
Titel
A Novel Algorithm on IP Traceback to Find the Real Source of Spoofed IP Packets
verfasst von
M. Vijayalakshmi
N. Nithya
S. Mercy Shalinie
Copyright-Jahr
2015
Verlag
Springer India
Buch
Artificial Intelligence and Evolutionary Algorithms in Engineering Systems

Print ISBN: 978-81-322-2134-0

Electronic ISBN: 978-81-322-2135-7

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-81-322-2135-7_10

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