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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Society & social sciences Education

• Plný název: Developing Cyberspace Data Understanding
• Podnázev: Using Crisp-DM for Host-Based Ids Feature Mining
• Autor: Joseph R Erskine
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 140
• EAN: 9781288331628
• ISBN: 9781288331628
• ID: 08244166
• Nakladatelství: Biblioscholar
• Hmotnost: 263 g
• Rozměry: 246 × 189 × 8 mm
• Datum vydání: 21. November 2012

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