9783659633379 - Effective Intrusion Detection using Feature Selection: A Machine Learning based Approach de Kumar, Gulshan (5 resultados)

paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condición: 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.

Condición: 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.

Taschenbuch. Condición: 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch.

Taschenbuch. Condición: 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.