String Kernel Based SVM for Internet Security Implementation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F09%3APU86245" target="_blank" >RIV/00216305:26230/09:PU86245 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
String Kernel Based SVM for Internet Security Implementation
Original language description
For network intrusion and virus detection, ordinary methods detect malicious network traffic and viruses by examining packets, flow logs or content of memory for any signatures of the attack. This implies that if no signature is known/created in advance,attack detection will be problematical. Addressing unknown attacks detection, we develop in this paper a network traffic and spam analyzer using a string kernel based SVM (support vector machine) supervised machine learning. The proposed method is capable of detecting network attack without known/earlier determined attack signatures, as SVM automatically learning attack signatures from traffic data. For application to internet security, we have implemented the proposed method for spam email detection over the <i>SpamAssasin</i> and <i>E. M. Canada</i> datasets, and network application authentication via real connection data analysis. The obtained above 99% accuracies have demonstrated the usefulness of string kernel SVMs on network sec
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Neural Information Processing
ISBN
978-3-642-10682-8
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
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Publisher name
Springer Verlag
Place of publication
Berlin / Heidelberg
Event location
Bangkok
Event date
Dec 1, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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