Effective Intrusion Detection using Feature Selection: A Machine Learning based Approach - Softcover
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.
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About the Author
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.
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Effective Intrusion Detection using Feature Selection
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LAP LAMBERT Academic Publishing Nov 2014, 2014
ISBN 10: 3659633372
ISBN 13: 9783659633379
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 92 pp. Englisch. Seller Inventory # 9783659633379
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Effective Intrusion Detection using Feature Selection
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LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659633372
ISBN 13: 9783659633379
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kumar GulshanDr. 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 confer. Seller Inventory # 5169863
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Effective Intrusion Detection using Feature Selection
Published by
LAP LAMBERT Academic Publishing Nov 2014, 2014
ISBN 10: 3659633372
ISBN 13: 9783659633379
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Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 92 pp. Englisch. Seller Inventory # 9783659633379
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Effective Intrusion Detection using Feature Selection : A Machine Learning based Approach
Published by
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659633372
ISBN 13: 9783659633379
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9783659633379
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Effective Intrusion Detection using Feature Selection | A Machine Learning based Approach
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ISBN 10: 3659633372
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Taschenbuch. Condition: Neu. Effective Intrusion Detection using Feature Selection | A Machine Learning based Approach | Gulshan Kumar | Taschenbuch | 92 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659633379 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 104995905