Host-Based Multivariate Statistical Computer Operating Process Anomaly Intrusion Detection System

Name: Host-Based Multivariate Statistical Computer Operating Process Anomaly Intrusion Detection System
Brand: Biblioscholar
SKU: 9781288417391
Price: 75.64 PLN
Availability: InStock

Autor: Glen R Shilland

Język:

Oprawa: Miękka

Wydawca: Biblioscholar

Dostępność: Dostępna u dostawcy

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75.64 zł

Most intrusion detection systems rely on signature matching of known malware or anomaly discriminati...

Informacje o książce

Autor

Glen R Shilland

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2012

strony

146

EAN

9781288417391

ISBN

9781288417391

Enbook ID

08251240

Wydawca

Biblioscholar

Waga

272

Wymiary

189 x 246 x 8

Pełny opis

Most intrusion detection systems rely on signature matching of known malware or anomaly discrimination by data mining historical network traffic. This renders defended systems vulnerable to new or polymorphic code and deceptive attacks that do not trigger anomaly alarms. A lightweight, self-aware intrusion detection system (IDS) is essential for the security of government and commercial networks, especially mobile, ad-hoc networks (MANETs) with relatively limited processing power. This research proposes a host-based, anomaly discrimination IDS using operating system process parameters to measure the "health" of individual systems. Principal Component Analysis (PCA) is employed for feature set selection and dimensionality reduction, while Mahalanobis Distance (MD) and is used to classify legitimate and illegitimate activity. This combination of statistical methods provides an efficient computer operating process anomaly intrusion detection system (PAIDS) that maximizes detection rate and minimizes false positive rate, while updating its sense of "self" in near-real-time.

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