Matrix Factorization Approach for Feature Deduction and Design of Intrusion Detection Systems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F08%3A00021460" target="_blank" >RIV/61989100:27240/08:00021460 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Matrix Factorization Approach for Feature Deduction and Design of Intrusion Detection Systems
Original language description
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything) to the detection process. The purpose of this research is to identify important input features in building an IDS that is computationally efficient and effective. This paper propose a novel matrix factorization approach for feature deduction and design of intrusion detection systems. Experiment results indicate that the proposed method is efficient.
Czech name
—
Czech description
—

Project
<a href="/en/project/1ET100300414" target="_blank" >1ET100300414: Intelligent methods for incresing of reliability of electrical networks</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
The Fourth International Conference on Information Assurance and Security 2008
ISBN
978-0-7695-3324-7
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
—
Publisher name
IEEE Computer Society
Place of publication
Los Alamitos, California
Event location
Napoli, Italy
Event date
Sep 8, 2008
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000260404200030

Similar results(10)