Multilayer Detection of Network Steganography
| Autor: | Jakub Pawluk, Krzysztof Szczypiorski, Milosz Smolarczyk |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
IoT
Computer Networks and Communications Network security Computer science lcsh:TK7800-8360 02 engineering and technology computer.software_genre big data 0202 electrical engineering electronic engineering information engineering network security steganography detection Electrical and Electronic Engineering steganography steganalysis Steganalysis Steganography business.industry lcsh:Electronics 020206 networking & telecommunications machine learning Hardware and Architecture Control and Systems Engineering Signal Processing 020201 artificial intelligence & image processing Data mining business computer pattern mining |
| Zdroj: | Electronics Volume 9 Issue 12 Electronics, Vol 9, Iss 2128, p 2128 (2020) |
| ISSN: | 2079-9292 |
| DOI: | 10.3390/electronics9122128 |
| Popis: | This paper presents a new method for steganography detection in network protocols. The method is based on a multilayer approach for the selective analysis of derived and aggregated metrics utilizing machine learning algorithms. The main objective is to provide steganalysis capability for networks with large numbers of devices and connections. We discuss considerations for performance analysis and present results. We also describe a means of applying our method for multilayer detection of a popular RSTEG (Retransmission Steganography) technique. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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