Effective Intrusion Detection using Feature Selection: A Machine Learning based Approach - Couverture souple

Kumar, Gulshan

 
9783659633379: Effective Intrusion Detection using Feature Selection: A Machine Learning based Approach
Couverture souple
ISBN 10 : 3659633372 ISBN 13 : 9783659633379
Editeur : LAP LAMBERT Academic Publishing, 2014

Synopsis

Internet security is a serious concern in the present era. There is an enormous growth of the Internet in terms of its usage and resources. Almost all major organizations, educational institutes, governments and individuals are dependent upon the Internet for providing their services. Therefore, smooth running of the Internet and maintaining integrity & confidentiality of the sensitive information over the Internet is the most important aspect of the growth of the information based organizations. However, presence of flaws in the most popular software provides numerous chances for malicious users to mount a variety of attacks to disrupt services and integrity of sensitive information over the Internet. Thus, the security of the Internet resources has become a very serious issue and a global concern for the governments, commercial organizations and individuals. Moreover, due to the advancement of computers, the behavior of intrusions has become more complex. Machine learning techniques have evolved as a promising solution. However, performance is affected due presence of a large number of redundant and irrelevant features. Feature selection helps to identify most relevant features.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Internet security is a serious concern in the present era. There is an enormous growth of the Internet in terms of its usage and resources. Almost all major organizations, educational institutes, governments and individuals are dependent upon the Internet for providing their services. Therefore, smooth running of the Internet and maintaining integrity & confidentiality of the sensitive information over the Internet is the most important aspect of the growth of the information based organizations. However, presence of flaws in the most popular software provides numerous chances for malicious users to mount a variety of attacks to disrupt services and integrity of sensitive information over the Internet. Thus, the security of the Internet resources has become a very serious issue and a global concern for the governments, commercial organizations and individuals. Moreover, due to the advancement of computers, the behavior of intrusions has become more complex. Machine learning techniques have evolved as a promising solution. However, performance is affected due presence of a large number of redundant and irrelevant features. Feature selection helps to identify most relevant features.

Biographie de l'auteur

Dr. Gulshan Kumar is working as an Assistant professor in the department of Computer applications, Shaheed Bhagat Singh, State Technical Campus, Ferozepur, Punjab. He has published more than 40 papers in conferences and Journals. His research interests include network Security and intrusion detection.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2014
Langue
anglais
ISBN 10 
3659633372
ISBN 13 
9783659633379
Reliure
Broché
Nombre de pages
92
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
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info@krega-onlinehandel.de

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Brakel
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Edition présentée

ISBN 10 :  3659640662 ISBN 13 :  9783659640667
Editeur : LAP LAMBERT Academic Publishing, 2014
Couverture souple