7 research outputs found

    An Improved Dynamic Probabilistic Packet Marking Algorithm

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    Topology based packet marking for IP traceback

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    IP source address spoofing exploits a fundamental weakness in the Internet Protocol. It is exploited in many types of network-based attacks such as session hijacking and Denial of Service (DoS). Ingress and egress filtering is aimed at preventing IP spoofing. Techniques such as History based filtering are being used during DoS attacks to filter out attack packets. Packet marking techniques are being used to trace IP packets to a point that is close as possible to their actual source. Present IP spoofing&nbsp; countermeasures are hindered by compatibility issues between IPv4 and IPv6, implementation issues and their effectiveness under different types of attacks. We propose a topology based packet marking method that builds on the flexibility of packet marking as an IP trace back method while overcoming most of the shortcomings of present packet marking techniques.<br /

    IP traceback marking scheme based DDoS defense.

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    Ping Yan.Thesis submitted in: December 2004.Thesis (M.Phil.)--Chinese University of Hong Kong, 2005.Includes bibliographical references (leaves 93-100).Abstracts in English and Chinese.Abstract --- p.iAcknowledgement --- p.iiiChapter 1 --- INTRODUCTION --- p.1Chapter 1.1 --- The Problem --- p.1Chapter 1.2 --- Research Motivations and Objectives --- p.3Chapter 1.3 --- The Rationale --- p.8Chapter 1.4 --- Thesis Organization --- p.9Chapter 2 --- BACKGROUND STUDY --- p.10Chapter 2.1 --- Distributed Denial of Service Attacks --- p.10Chapter 2.1.1 --- Taxonomy of DoS and DDoS Attacks --- p.13Chapter 2.2 --- IP Traceback --- p.17Chapter 2.2.1 --- Assumptions --- p.18Chapter 2.2.2 --- Problem Model and Performance Metrics --- p.20Chapter 2.3 --- IP Traceback Proposals --- p.24Chapter 2.3.1 --- Probabilistic Packet Marking (PPM) --- p.24Chapter 2.3.2 --- ICMP Traceback Messaging --- p.26Chapter 2.3.3 --- Logging --- p.27Chapter 2.3.4 --- Tracing Hop-by-hop --- p.29Chapter 2.3.5 --- Controlled Flooding --- p.30Chapter 2.4 --- DDoS Attack Countermeasures --- p.30Chapter 2.4.1 --- Ingress/Egress Filtering --- p.33Chapter 2.4.2 --- Route-based Distributed Packet Filtering (DPF) --- p.34Chapter 2.4.3 --- IP Traceback Based Intelligent Packet Filtering --- p.35Chapter 2.4.4 --- Source-end DDoS Attack Recognition and Defense --- p.36Chapter 2.4.5 --- Classification of DDoS Defense Methods --- p.38Chapter 3 --- ADAPTIVE PACKET MARKING SCHEME --- p.41Chapter 3.1 --- Scheme Overview --- p.41Chapter 3.2 --- Adaptive Packet Marking Scheme --- p.44Chapter 3.2.1 --- Design Motivation --- p.44Chapter 3.2.2 --- Marking Algorithm Basics --- p.46Chapter 3.2.3 --- Domain id Marking --- p.49Chapter 3.2.4 --- Router id Marking --- p.51Chapter 3.2.5 --- Attack Graph Reconstruction --- p.53Chapter 3.2.6 --- IP Header Overloading --- p.56Chapter 3.3 --- Experiments on the Packet Marking Scheme --- p.59Chapter 3.3.1 --- Simulation Set-up --- p.59Chapter 3.3.2 --- Experimental Results and Analysis --- p.61Chapter 4 --- DDoS DEFENSE SCHEMES --- p.67Chapter 4.1 --- Scheme I: Packet Filtering at Victim-end --- p.68Chapter 4.1.1 --- Packet Marking Scheme Modification --- p.68Chapter 4.1.2 --- Packet Filtering Algorithm --- p.69Chapter 4.1.3 --- Determining the Filtering Probabilities --- p.70Chapter 4.1.4 --- Suppressing Packets Filtering with did Markings from Nearby Routers --- p.73Chapter 4.2 --- Scheme II: Rate Limiting at the Sources --- p.73Chapter 4.2.1 --- Algorithm of the Rate-limiting Scheme --- p.74Chapter 4.3 --- Performance Measurements for Scheme I & Scheme II . --- p.77Chapter 5 --- CONCLUSION --- p.87Chapter 5.1 --- Contributions --- p.87Chapter 5.2 --- Discussion and Future Work --- p.91Bibliography --- p.10

    Message traceback systems dancing with the devil

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    The research community has produced a great deal of work in recent years in the areas of IP, layer 2 and connection-chain traceback. We collectively designate these as message traceback systems which, invariably aim to locate the origin of network data, in spite of any alterations effected to that data (whether legitimately or fraudulently). This thesis provides a unifying definition of spoofing and a classification based on this which aims to encompass all streams of message traceback research. The feasibility of this classification is established through its application to our literature review of the numerous known message traceback systems. We propose two layer 2 (L2) traceback systems, switch-SPIE and COTraSE, which adopt different approaches to logging based L2 traceback for switched ethernet. Whilst message traceback in spite of spoofing is interesting and perhaps more challenging than at first seems, one might say that it is rather academic. Logging of network data is a controversial and unpopular notion and network administrators don't want the added installation and maintenance costs. However, European Parliament Directive 2006/24/EC requires that providers of publicly available electronic communications networks retain data in a form similar to mobile telephony call records, from April 2009 and for periods of up to 2 years. This thesis identifies the relevance of work in all areas of message traceback to the European data retention legislation. In the final part of this thesis we apply our experiences with L2 traceback, together with our definitions and classification of spoofing to discuss the issues that EU data retention implementations should consider. It is possible to 'do logging right' and even safeguard user privacy. However this can only occur if we fully understand the technical challenges, requiring much further work in all areas of logging based, message traceback systems. We have no choice but to dance with the devil.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

    An evaluation of different IP traceback approaches

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    The problem of identifying the sources of a denial of service attack is among the hardest in the Internet security area, especially since attackers often use incorrect, or spoofed, source IP addresses. In this paper we present the results from a comparison between some of the most promising traceback techniques proposed to solve this problem. Our goal was to evaluate and analyse the most promising techniques on our way to find a more efficient approach. We have evaluated four different traceback approaches and summarized the results. Our own research were primary targeted at the iTrace approaches while the other approaches were evaluated based on the previous work. We conclude that there are two main disadvantages of the proposed approaches. First, the hop-byhop path reconstruction is inefficient due to a significant computation overhead, or a long time spent for collecting the samples of the path. Second, the path reconstruction requires changes in the core routing structure that is not profitable. We also suggest a slightly modified version of iTrace approach which aims at reducing the overhead imposed by such changes.Validerad; 2002; 20080506 (ysko
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