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Proceedings of Annual Conference of China Institute of Communications (CIC 2009 E-BOOK)

Guangzhou,China,11.26-11.27，2009

ISBN: 978-1-935068-10-5 Scientific Research Publishing, USA

E-Book 604pp Pub. Date: March 2010

Category: Computer Science & Communications

Price: $80

Title: Research of Improved Probabilistic Packet Marking Algorithms
Source: Proceedings of Annual Conference of China Institute of Communications (CIC 2009 E-BOOK) (pp 535-539)
Author(s): Yan Wang, Dept. of Information Technology and Management Zhejiang Police Vocational Academy
Lingdi Ping, Visiting scholar, College of Computer Science Zhejiang University Hangzhou Zhejiang, China; College of Computer Science and Technology Zhejiang University Hangzhou Zhejiang, China
Abstract: IP traceback is the technology to control Internet crime. A promising solution to IP traceback is probabilistic packet marking (PPM). In this paper we present a novel and practical IP traceback algorithm which can improve the PPM convergency and computational overhead. This scheme may also reduce the deployment overhead without requiring the participation of all routers on the attack path. It has been used not only to trace Distributed Denial of Service (DDoS) attacking packets but also to enhance filtering attacking traffic. It has wide applications for other security systems. To the best of our knowledge, this thesis is the first of its kind considering the impact of packet loss in designing packet marking scheme.
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