Effective Intrusion Detection Using by Kumar Gulshan (12 results)

Taschenbuch. Condition: Neu. Effective Intrusion Detection using Genetic Algorithms | A Nature Inspired Technique | Gulshan Kumar | Taschenbuch | 100 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659640667 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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

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

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.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Nowadays, the Internet touched every facet of modern life in terms of its usage and resources. Most of information based organizations like business organizations, governments and educational institutions are using the abilities of the Internet such as the ability to publish, find, communicate information with others. Thus, dependence on the information based organizations over the Internet is increasing day by day. However, most of the popular software contains flaws which are not only technically difficult, but also economically costly to be solved. These vulnerabilities and easy access to Internet resources are exploited by the intruders to misuse the Internet resources and launch in uential attacks against them. In this case, the detection of intrusions is very significant. Nature Inspired techniques, especially Genetic Algorithms have proved to be a promising direction for effective intrusion detection. 100 pp. Englisch.

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 Assistant Professor in the department of Computer Applications at the SBS State Technical Campus, Ferozepur. He has published more than 45 papers in Journals and conferences. His research .

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.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Nowadays, the Internet touched every facet of modern life in terms of its usage and resources. Most of information based organizations like business organizations, governments and educational institutions are using the abilities of the Internet such as the ability to publish, żnd, communicate information with others. Thus, dependence on the information based organizations over the Internet is increasing day by day. However, most of the popular software contains flaws which are not only technically difficult, but also economically costly to be solved. These vulnerabilities and easy access to Internet resources are exploited by the intruders to misuse the Internet resources and launch inżuential attacks against them. In this case, the detection of intrusions is very significant. Nature Inspired techniques, especially Genetic Algorithms have proved to be a promising direction for effective intrusion detection.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch.

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

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Nowadays, the Internet touched every facet of modern life in terms of its usage and resources. Most of information based organizations like business organizations, governments and educational institutions are using the abilities of the Internet such as the ability to publish, find, communicate information with others. Thus, dependence on the information based organizations over the Internet is increasing day by day. However, most of the popular software contains flaws which are not only technically difficult, but also economically costly to be solved. These vulnerabilities and easy access to Internet resources are exploited by the intruders to misuse the Internet resources and launch in uential attacks against them. In this case, the detection of intrusions is very significant. Nature Inspired techniques, especially Genetic Algorithms have proved to be a promising direction for effective intrusion detection.

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.