An Empirical Analysis of Malware Blacklists

Marc Kührer; Thorsten Holz

doi:10.1515/pik-2012-0003

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An Empirical Analysis of Malware Blacklists

Marc Kührer and Thorsten Holz

Published/Copyright: April 1, 2012

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From the journal PIK - Praxis der Informationsverarbeitung und Kommunikation Volume 35 Issue 1

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MLA
APA
Harvard
Chicago
Vancouver

Kührer, Marc and Holz, Thorsten. "An Empirical Analysis of Malware Blacklists" PIK - Praxis der Informationsverarbeitung und Kommunikation, vol. 35, no. 1, 2012, pp. 11-16. https://doi.org/10.1515/pik-2012-0003

Kührer, M. & Holz, T. (2012). An Empirical Analysis of Malware Blacklists. PIK - Praxis der Informationsverarbeitung und Kommunikation, 35(1), 11-16. https://doi.org/10.1515/pik-2012-0003

Kührer, M. and Holz, T. (2012) An Empirical Analysis of Malware Blacklists. PIK - Praxis der Informationsverarbeitung und Kommunikation, Vol. 35 (Issue 1), pp. 11-16. https://doi.org/10.1515/pik-2012-0003

Kührer, Marc and Holz, Thorsten. "An Empirical Analysis of Malware Blacklists" PIK - Praxis der Informationsverarbeitung und Kommunikation 35, no. 1 (2012): 11-16. https://doi.org/10.1515/pik-2012-0003

Kührer M, Holz T. An Empirical Analysis of Malware Blacklists. PIK - Praxis der Informationsverarbeitung und Kommunikation. 2012;35(1): 11-16. https://doi.org/10.1515/pik-2012-0003

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Articles in the same Issue

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Network Attack Detection and Defense
Current Botnet-Techniques and Countermeasures
An Empirical Analysis of Malware Blacklists
Generalizing Behavioral Signatures for Detecting Unknown Malware Variants and Early Warning
A Framework for Automated Identification of Attack Scenarios on IT Infrastructures
On Network Monitoring for Intrusion Detection
Automated Generation of Precise Signatures
Model-based Cyber Defense Situational Awareness
Intelligent Defense against Malicious JavaScript Code
Dependable Embedded Systems & Software (DEEDS) – TU Darmstadt
Alois Potton hat das Wort

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https://doi.org/10.1515/pik-2012-0003

Articles in the same Issue

Masthead
Network Attack Detection and Defense
Current Botnet-Techniques and Countermeasures
An Empirical Analysis of Malware Blacklists
Generalizing Behavioral Signatures for Detecting Unknown Malware Variants and Early Warning
A Framework for Automated Identification of Attack Scenarios on IT Infrastructures
On Network Monitoring for Intrusion Detection
Automated Generation of Precise Signatures
Model-based Cyber Defense Situational Awareness
Intelligent Defense against Malicious JavaScript Code
Dependable Embedded Systems & Software (DEEDS) – TU Darmstadt
Alois Potton hat das Wort