Name: Developing Cyberspace Data Understanding: Using CRISP-DM for Host-Based IDS Feature Mining (en Inglés)
Price: 256.53 PEN
Availability: InStock
Author: Erskine, Joseph R.
ISBN: 9781288331628

portada Developing Cyberspace Data Understanding: Using CRISP-DM for Host-Based IDS Feature Mining (en Inglés)

Formato

Libro Físico

Autor

Joseph R. Erskine

Editorial

Biblioscholar

Idioma

Inglés

N° páginas

140

Encuadernación

Tapa Blanda

Dimensiones

24.6 x 18.9 x 0.8 cm

Peso

0.26 kg.

ISBN13

9781288331628

Categorías

Educación

Developing Cyberspace Data Understanding: Using CRISP-DM for Host-Based IDS Feature Mining (en Inglés)

Joseph R. Erskine (Autor) · Biblioscholar · Tapa Blanda

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Developing Cyberspace Data Understanding: Using CRISP-DM for Host-Based IDS Feature Mining (en Inglés)"

Current intrusion detection systems generate a large number of specific alerts, but do not provide actionable information. Many times, these alerts must be analyzed by a network defender, a time consuming and tedious task which can occur hours or days after an attack occurs. Improved understanding of the cyberspace domain can lead to great advancements in Cyberspace situational awareness research and development. This thesis applies the Cross Industry Standard Process for Data Mining (CRISP-DM) to develop an understanding about a host system under attack. Data is generated by launching scans and exploits at a machine outfitted with a set of host-based data collectors. Through knowledge discovery, features are identified within the data collected which can be used to enhance host-based intrusion detection. By discovering relationships between the data collected and the events, human understanding of the activity is shown.