Contextual Network Navigation to provide Situational Awareness for Network Administrators
Affiliation
Bangor University; University of ChesterPublication Date
2015-10-26
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One of the goals of network administrators is to identify and block sources of attacks from a network steam. Various tools have been developed to help the administrator identify the IP or subnet to be blocked, however these tend to be non-visual. Having a good perception of the wider network can aid the administrator identify their origin, but while network maps of the Internet can be useful for such endeavors, they are difficult to construct, comprehend and even utilize in an attack, and are often referred to as being “hairballs”. We present a visualization technique that displays pathways back to the attacker; we include all potential routing paths with a best-efforts identification of the commercial relationships involved. These two techniques can potentially highlight common pathways and/or networks to allow faster, more complete resolution to the incident, as well as fragile or incomplete routing pathways to/from a network. They can help administrators re-profile their choice of IP transit suppliers to better serve a target audience.Citation
Gray, C. C., Ritsos, P. D., & Roberts, J. C. (2015). Contextual network navigation to provide situational awareness for network administrators. Paper presented at the Visualization for Cyber Security (VizSec), 2015 IEEE Symposium on. Chicago. doi 10.1109/VIZSEC.2015.7312769Publisher
IEEEAdditional Links
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7312769&filter%3DAND%28p_IS_Number%3A7312757%29Type
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en_USDescription
“© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.ISBN
9781467376006ae974a485f413a2113503eed53cd6c53
10.1109/VIZSEC.2015.7312769
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