Title
Design and analysis of a hierarchical IP traceback system
Abstract
In this paper, we present the detailed design and analysis of our solution to the IP traceback problem. We adopt (at the AS level) a path signature generation method which was proposed at the router level to primarily provide a means of filtering attack traffic. Our solution assumes a secure routing infrastructure to exchange authenticated messages in order to learn path signatures. We envision the local adoption of a separate, yet complementary, traditional traceback system at each AS. This solution is hierarchical in the sense that it works at the Autonomous System (AS) level first then once a small list of possible source ASes is identified, those ASes are queried and traceback is performed within each AS to prune the list down to the actual source. Using simulation results we demonstrate that our solution is practical since it reduces - as a first step - the search space from the entire router space of the Internet to an AS-list that is only a very small fraction of all possible ASes. This combination is more scalable than doing a flat IP traceback on the entire router space of the Internet. We go on to propose a means of using more than 16 bits of the IP fragmentation fields which are traditionally used by various IP traceback systems. We present results based on using various sizes for the marking field, as well as varying number of total marks and different sizes for each mark.
Year
DOI
Venue
2009
10.1109/ICC.2009.5198896
ICC
Keywords
Field
DocType
IP networks,digital signatures,telecommunication network routing,telecommunication security,telecommunication traffic,IP fragmentation field,Internet,attack traffic filtering,authenticated message exchange,autonomous system,hierarchical IP traceback system,path signature generation method,secure routing infrastructure
Authentication,Computer science,Computer network,Digital signature,IP traceback,Autonomous system (mathematics),Router,IP fragmentation,Scalability,The Internet
Conference
ISSN
Citations 
PageRank 
1550-3607
1
0.34
References 
Authors
11
2
Name
Order
Citations
PageRank
Abes Dabir110.68
Ashraf Matrawy214626.98