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  • Search: subject:"Malicious Code"
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Year of publication
Subject
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Malware 3 Computersicherheit 2 Data security 2 Datensicherheit 2 IT crime 2 IT-Kriminalität 2 Malicious Code Detection 2 Accounting 1 Agent-based modeling 1 Agentenbasierte Modellierung 1 Anomalieerkennung 1 Anti-Obfuscation 1 Artificial intelligence 1 Bezahl-Content 1 Binary File 1 Cognition 1 Computerkriminalität 1 Cyberattacke 1 Data Cluster 1 Datensicherung 1 Deutschland 1 Doppelte Buchführung 1 Elektronischer Zahlungsverkehr 1 Feature Extraction 1 Feature Selection 1 Financial statement 1 Geheimdienst 1 Germany 1 IT infrastructure 1 IT-Infrastruktur 1 Information warfare 1 Jahresabschluss 1 K-Means Algorithm 1 Kognition 1 Krieg 1 Kritische Informationsinfrastruktur 1 Künstliche Intelligenz 1 Machine Learning 1 Malicious Code 1 Malicious Code Family 1
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Online availability
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Undetermined 3 Free 1
Type of publication
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Article 3 Book / Working Paper 3
Type of publication (narrower categories)
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Hochschulschrift 1 Thesis 1
Language
All
English 3 German 2 Undetermined 1
Author
All
Anhalt, Christian 1 Cai, Yongquan 1 Chen, Chia-Mei 1 Jiao, Di 1 Khan, Muhammad Salman 1 Kurz, Constanze 1 Li, Tong 1 Ning, Zhenhu 1 POPA, Marius 1 Rieger, Frank 1 Wang, Shi-Hao 1 Wang, Yuehan 1 Xue, Fei 1
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Published in...
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Advances in computational intelligence and robotics (ACIR) book series 1 Gabler Research 1 Informatica Economica 1 International Journal of Applied Metaheuristic Computing (IJAMC) 1 International Journal of Open Source Software and Processes (IJOSSP) 1
Source
All
ECONIS (ZBW) 3 Other ZBW resources 2 RePEc 1
Showing 1 - 6 of 6
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A Novel Anti-Obfuscation Model for Detecting Malicious Code
Wang, Yuehan; Li, Tong; Cai, Yongquan; Ning, Zhenhu; … - In: International Journal of Open Source Software and … 8 (2017) 2, pp. 25-43
In this article, the authors present a new malicious code detection model. The detection model improves typical n …
Persistent link: https://www.econbiz.de/10012046977
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Detecting Malicious Code by Binary File Checking
POPA, Marius - In: Informatica Economica 18 (2014) 1, pp. 111-119
files, how the content can be controlled by a possible intruder and what the ways to identify malicious code in such kind of …
Persistent link: https://www.econbiz.de/10010756311
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Machine learning and cognitive science applications in cyber security
Khan, Muhammad Salman (ed.) - 2019
Persistent link: https://www.econbiz.de/10012393985
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Cyberwar - die Gefahr aus dem Netz : wer uns bedroht und wie wir uns wehren können
Kurz, Constanze; Rieger, Frank - 2018
Wir sind abhängig vom Internet. Der Strom aus der Steckdose, das Geld aus dem Automaten, die Bahn zur Arbeit, all das funktioniert nur, wenn Computer und Netze sicher arbeiten. Doch diese Systeme sind verwundbar - und werden immer häufiger gezielt angegriffen. Deutschland mit seiner stark...
Persistent link: https://www.econbiz.de/10011844247
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Advancing Malware Classification With an Evolving Clustering Method
Chen, Chia-Mei; Wang, Shi-Hao - In: International Journal of Applied Metaheuristic … 9 (2018) 3, pp. 1-12
This article describes how honeypots and intrusion detection systems serve as major mechanisms for security administrators to collect a variety of sample viruses and malware for further analysis, classification, and system protection. However, increased variety and complexity of malware makes...
Persistent link: https://www.econbiz.de/10012042968
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Bezahlsysteme für Mobile Software-Agenten : eine an der doppischen Rechnungstheorie orientierte Gestaltungsempfehlung
Anhalt, Christian - 2011 - 1. Aufl.
Persistent link: https://www.econbiz.de/10008824798
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