Hochschulschrift

Network traffic anomaly detection and evaluation

to connected objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

ISBN: 9783832289775

Dimensions: 21 cm, 300 gr.

Extent: XX, 180 S.

Language: Englisch

Notes: graph. Darst.
Zugl.: Zürich, Techn. Hochsch., Diss., 2010

Bibliographic citation: TIK-Schriftenreihe / Eidgenössische Technische Hochschule Zürich ; Nr. 113

Keyword: Internet
Nachrichtenverkehr
Anomalieerkennung
Statistische Nachrichtentheorie
Kryptoanalyse
Fehlalarm
Computersicherheit
Fehlalarm
Internet
Kryptoanalyse
Nachrichtenverkehr
Statistische Nachrichtentheorie

Event: Veröffentlichung

(where): Aachen

(who): Shaker

(when): 2010

Creator: Brauckhoff, Daniela

Table of contents: https://d-nb.info/1001177746/04

Rights: Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.

Last update: 11.03.2025, 12:04 PM CET

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Object type

Hochschulschrift

Associated

Brauckhoff, Daniela
Shaker

Time of origin

2010

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Network traffic anomaly detection and evaluation

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Other Objects (12)

Visualization of data cubes for anomaly detection in network traffic data streams

Traffic anomaly detection and cause identification using flow-level measurements

Multi-perspective anomaly detection

On the appropriateness of negative selection for anomaly detection and network intrusion detection

Program analysis for anomaly detection

Counterexample explanation by anomaly detection

Representation Learning for Anomaly Detection

Data traffic monitoring and analysis : from measurement, classfication and anomaly detection to qualtiy of experience

Anomaly Detection for Cyber-Physical Systems

Industrial anomaly detection with normalizing flows

Anomaly detection in cloud computing environments

Combined network intrusion and phasor data anomaly detection for secure dynamic control centers

Visualization of data cubes for anomaly detection in network traffic data streams

Traffic anomaly detection and cause identification using flow-level measurements

Multi-perspective anomaly detection

On the appropriateness of negative selection for anomaly detection and network intrusion detection

Program analysis for anomaly detection

Counterexample explanation by anomaly detection

Representation Learning for Anomaly Detection

Data traffic monitoring and analysis : from measurement, classfication and anomaly detection to qualtiy of experience

Anomaly Detection for Cyber-Physical Systems

Industrial anomaly detection with normalizing flows

Anomaly detection in cloud computing environments

Combined network intrusion and phasor data anomaly detection for secure dynamic control centers

Visualization of data cubes for anomaly detection in network traffic data streams

Traffic anomaly detection and cause identification using flow-level measurements

Multi-perspective anomaly detection

On the appropriateness of negative selection for anomaly detection and network intrusion detection

Program analysis for anomaly detection

Counterexample explanation by anomaly detection

Representation Learning for Anomaly Detection

Data traffic monitoring and analysis : from measurement, classfication and anomaly detection to qualtiy of experience

Anomaly Detection for Cyber-Physical Systems

Industrial anomaly detection with normalizing flows

Anomaly detection in cloud computing environments

Combined network intrusion and phasor data anomaly detection for secure dynamic control centers

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