Topology discovery by active probing

Huffaker, Bradley; Plummer, Daniel; Moore, David C.; Claffy, Kimberly C.

doi:10.1109/saintw.2002.994558

Cited by 142 publications

(121 citation statements)

References 4 publications

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“…Today's route tracing systems employ at most a few hundred sources. CAIDA's skitter [10,11] infrastructure, for instance, produces an extensive graph suitable for simulations, but it is based on routes from just 30 sources.…”

Section: Introductionmentioning

confidence: 99%

Describing and Simulating Internet Routes

Leguay¹,

Latapy²,

Friedman³

et al. 2005

NETWORKING 2005. Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile A

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Section: Introductionmentioning

confidence: 99%

Describing and Simulating Internet Routes

Leguay¹,

Latapy²,

Friedman³

et al. 2005

NETWORKING 2005. Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile A

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“…The authors of [6] and [7] developed basic radial and geographic representations. More recent work often focuses on the visualization of Autonomous Systems (AS) routing topologies [8,9]. Linear IP address spaces are sometimes displayed in two dimensions using space filling curves [10][11][12], as this technique allows to show aggregations with common prefixes.…”

Section: Related Workmentioning

confidence: 99%

Visualization of Node Interaction Dynamics in Network Traces

Dobrev

Stancu-Mara

Schönwälder

2009

Scalability of Networks and Services

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Abstract. The analysis of network traces often requires to find the spots where something interesting happens. Since traces are usually very large data-sets, it is often not easy and time intensive to get an intuitive understanding of what happens within a given trace. Through the use of suitable data visualization techniques, it is possible for humans to identify noteworthy spots or characteristics of a trace much faster. Particularly interesting properties of a certain class of network traces are node interaction dynamics, that is how the traffic matrix between nodes evolves over time and the pattern of messages exchanged between nodes. This paper presents some tools visualizing node interaction dynamics that were developed to assist network trace analysts.

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“…Most modem techniques for network discovery and enumeration concentrate on topology visualization to provide users with a graphical representation of network operations [5,6,8]. Products such as Microsoft Visio's Network AutoDiscovery, use the Simple Network Management Protocol (SNMP) to inventory routers, switches, hubs, and workstations [8].…”

Section: Related Workmentioning

confidence: 99%

“…AutoDiscovery reports this information back to a server, which generates a visual representation of the network. Other tools, such as the CAIDA suite were developed to handle visualization for a wide variety properties of the Internet backbone, such as topology, workload, performance, and routing [5,6]. Though they provide useful management and visualization tools, these applications lack the necessary information to discern vulnerabilities within networks.…”

Section: Related Workmentioning

confidence: 99%

On Modeling Computer Networks for Vulnerability Analysis

Campbell¹,

Dawkins²,

Pollet³

et al. 2003

Research Directions in Data and Applications Security

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Enterprise security must take into account a holistic view of the network. Capturing security and vulnerability attributes of network services and systems is a critical aspect of effective vulnerability analysis and remediation. Unfortunately, this is not always possible due to the overhead associated with tracking distributed resources. Conventional tools create topological maps of a network and extract a signature of the state of individual components. However, these tools require human interpretation to be useful for security. The goal of network modeling for vulnerability analysis is to glean and interpret data from a variety of resources in order to create an abstract model of the security of a network. A sound network model is essential to the analysis of potential threats to a network.

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Topology discovery by active probing

Cited by 142 publications

References 4 publications

Describing and Simulating Internet Routes

Describing and Simulating Internet Routes

Visualization of Node Interaction Dynamics in Network Traces

On Modeling Computer Networks for Vulnerability Analysis

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