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On Malfunction, Mechanisms and Malware Classification

On Malfunction, Mechanisms and Malware Classification Malware has been around since the 1980s and is a large and expensive security concern today, constantly growing over the past years. As our social, professional and financial lives become more digitalised, they present larger and more profitable targets for malware. The problem of classifying and preventing malware is therefore urgent, and it is complicated by the existence of several specific approaches. In this paper, we use an existing malware taxonomy to formulate a general, language independent functional description of malware as transformers between states of the host system and described by a trust relation with its components. This description is then further generalised in terms of mechanisms, thereby contributing to a general understanding of malware. The aim is to use the latter in order to present an improved classification method for malware. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Philosophy & Technology Springer Journals

On Malfunction, Mechanisms and Malware Classification

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Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer Nature B.V.
Subject
Philosophy; Philosophy of Technology
ISSN
2210-5433
eISSN
2210-5441
DOI
10.1007/s13347-018-0334-2
Publisher site
See Article on Publisher Site

Abstract

Malware has been around since the 1980s and is a large and expensive security concern today, constantly growing over the past years. As our social, professional and financial lives become more digitalised, they present larger and more profitable targets for malware. The problem of classifying and preventing malware is therefore urgent, and it is complicated by the existence of several specific approaches. In this paper, we use an existing malware taxonomy to formulate a general, language independent functional description of malware as transformers between states of the host system and described by a trust relation with its components. This description is then further generalised in terms of mechanisms, thereby contributing to a general understanding of malware. The aim is to use the latter in order to present an improved classification method for malware.

Journal

Philosophy & TechnologySpringer Journals

Published: Nov 12, 2018

References