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Network classification for traffic management : anomaly detection, feature selection, clustering and classification /

The book investigates network traffic classification solutions by proposing transport-layer methods to achieve better run and operated enterprise-scale networks. It deals with the following subjects: traffic management; anomaly detection; clustering algorithms; unsupervised feature selection; transp...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Tari, Zahir, 1961- (Autor), Fahad, Adil (Autor), Almalawi, Abdulmohsen (Autor), Yi, Xun (College teacher) (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Stevenage : Institution of Engineering and Technology, 2020.
Colección:IET computing series ; 32.
Temas:
Acceso en línea:Texto completo

MARC

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040 |a YDX  |b eng  |e rda  |e pn  |c YDX  |d OCLCQ  |d YDXIT  |d CUS  |d OCLCF  |d UKBTH  |d N$T  |d OCLCO  |d K6U  |d OCLCQ  |d OCLCO  |d OCLCQ  |d OCLCA  |d OCLCO 
020 |a 1785619225  |q (electronic book) 
020 |a 9781785619229  |q (electronic bk.) 
020 |z 1785619217  |q (hardcover) 
020 |z 9781785619212  |q (hardcover) 
029 1 |a AU@  |b 000066984841 
035 |a (OCoLC)1141662021 
050 4 |a TK5105.5  |b .T37 2020 
082 0 4 |a 621.3981  |2 23 
049 |a UAMI 
100 1 |a Tari, Zahir,  |d 1961-  |e author. 
245 1 0 |a Network classification for traffic management :  |b anomaly detection, feature selection, clustering and classification /  |c Zahir Tari, Adil Fahad, Abdulmohsen Almalawi and Xun Yi. 
264 1 |a Stevenage :  |b Institution of Engineering and Technology,  |c 2020. 
264 4 |c ©2020 
300 |a 1 online resource :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
336 |a still image  |b sti  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a IET computing series ;  |v volume 32 
504 |a Includes bibliographical references and index (pages 261-268). 
505 0 |a Introduction -- Background -- Related work -- A taxonomy and empirical analysis of clustering algorithms for traffic classification -- Toward an efficient and accurate unsupervised feature selection -- Optimizing feature selection to improve transport layer statistics quality -- Optimality and stability of feature set for traffic classification -- A privacy-perserving framework for traffic data publishing -- A semi-supervised approach for network traffic labeling -- A hybrid clustering-classification for accurate and efficient network classification -- Conclusion. 
588 0 |a Online resource; title from digital title page (viewed on June 01, 2020). 
520 |a The book investigates network traffic classification solutions by proposing transport-layer methods to achieve better run and operated enterprise-scale networks. It deals with the following subjects: traffic management; anomaly detection; clustering algorithms; unsupervised feature selection; transport layer statistics quality; feature set; privacy preserving framework for traffic data publishing; semi-supervised approach for network traffic labelling; and hybrid clustering-classification. 
590 |a Knovel  |b ACADEMIC - Software Engineering 
590 |a Knovel  |b ACADEMIC - Computer Hardware Engineering 
650 0 |a Telecommunication  |x Traffic  |x Management. 
650 0 |a Computer network protocols  |x Management. 
650 6 |a Télécommunications  |x Trafic  |x Gestion. 
650 6 |a Protocoles de réseaux d'ordinateurs  |x Gestion. 
650 7 |a Telecommunication  |x Traffic  |x Management  |2 fast 
650 7 |a computer network management.  |2 inspect 
650 7 |a computer network security.  |2 inspect 
650 7 |a data privacy.  |2 inspect 
650 7 |a feature selection.  |2 inspect 
650 7 |a learning (artificial intelligence)  |2 inspect 
650 7 |a pattern classification.  |2 inspect 
650 7 |a pattern clustering.  |2 inspect 
650 7 |a telecommunication traffic.  |2 inspect 
700 1 |a Fahad, Adil,  |e author. 
700 1 |a Almalawi, Abdulmohsen,  |e author. 
700 1 |a Yi, Xun  |c (College teacher),  |e author. 
776 0 8 |i Print version:  |t NETWORK CLASSIFICATION FOR TRAFFIC MANAGEMENT.  |d [Place of publication not identified] INST OF ENGIN AND TECH, 2020  |z 1785619217  |w (OCoLC)1111784634 
830 0 |a IET computing series ;  |v 32. 
856 4 0 |u https://appknovel.uam.elogim.com/kn/resources/kpNCTMADF1/toc  |z Texto completo 
938 |a EBSCOhost  |b EBSC  |n 2375432 
938 |a YBP Library Services  |b YANK  |n 301114403 
994 |a 92  |b IZTAP