Using an Inductive Learning Algorithm to Improve Antibody Generation in a Single Packet Computer Defense Immune System

Language: English

Published by Creative Media Partners, LLC Okt 2012, 2012

1249830729 / 9781249830726

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Neuware - The United States Air Force relies heavily on computer networks for many day-to-day activities. Many of these networks are affected by various types of attacks that can be launched from anywhere on the globe. The rising prominence of organizations such as the AFCERT and the MAJCOM NOSCs is evidence of an increasing realization among the Air Force leadership that protecting our computer networks is vitally important. A critical requirement for protecting our networks is the ability to detect attacks and intrusion attempts. This research is an effort to refine a portion of an AFIT-developed intrusion detection system known as the Computer Defense Immune System (CDIS). CDIS is based on the human immune system and uses antibodies to attempt to detect network intrusion attempts. The antibodies have various attributes of which a subset is randomly activated at generation time. This research attempts to determine which of the antibody attributes are most useful in helping to build successful antibodies.

Seller Inventory # 9781249830726

Title
Using an Inductive Learning Algorithm to Improve Antibody Generation in a Single Packet Computer Defense Immune System
Author
Russell J Aycock
Publisher
Creative Media Partners, LLC Okt 2012
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1249830729
ISBN 13
9781249830726
Item weight
118 grams
Dimensions
234x156x4 mm

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

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