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

Name: Using an Inductive Learning Algorithm to Improve Antibody Generation in a Single Packet Computer Defense Immune System
Brand: Biblioscholar
SKU: 9781249830726
Price: 15.23 EUR
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Autor: Russell J Aycock

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Väzba: Brožovaná

Vydavateľ: Biblioscholar

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The United States Air Force relies heavily on computer networks for many day-to-day activities. Many...

Informácie o knihe

Autor

Russell J Aycock

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2012

Stránok

EAN

9781249830726

ISBN

9781249830726

Enbook ID

08143316

Vydavateľ

Biblioscholar

Hmotnosť

154

Rozmery

189 x 246 x 4

Kompletný popis

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.

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

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