InforLorV4, Main, Exploration, bibRecordById, Pascal:09-0007343

Malware behaviour analysis

Identifieur interne : 004454 ( Main/Exploration ); précédent : 004453; suivant : 004455

Malware behaviour analysis

Auteurs : Gérard Wagener [France] ; Radu State [France] ; Alexandre Dulaunoy [Luxembourg (pays)]

Source :

Journal in computer virology [ 1772-9890 ] ; 2008.

RBID : Pascal:09-0007343

Descripteurs français

Pascal (Inist)
- Sécurité informatique, Similitude, Classification, Bioinformatique, Alignement séquence, Arbre phylogénétique.
Wicri :
- topic : Classification.

English descriptors

KwdEn :
- Bioinformatics, Classification, Computer security, Phylogenetic tree, Sequence alignment, Similarity.

Abstract

Several malware analysis techniques suppose that the disassembled code of a piece of malware is available, which is however not always possible. This paper proposes a flexible and automated approach to extract malware behaviour by observing all the system function calls performed in a virtualized execution environment. Similarities and distances between malware behaviours are computed which allows to classify malware behaviours. The main features of our approach reside in coupling a sequence alignment method to compute similarities and leverage the Hellinger distance to compute associated distances. We also show how the accuracy of the classification process can be improved using a phylogenetic tree. Such a tree shows common functionalities and evolution of malware. This is relevant when dealing with obfuscated malware variants that have often similar behaviour. The phylogenetic trees were assessed using known antivirus results and only a few malware behaviours were wrongly classified.

Affiliations:

France, Luxembourg (pays)

Links toward previous steps (curation, corpus...)

to stream PascalFrancis, to step Corpus: 000288
to stream PascalFrancis, to step Curation: 000732
to stream PascalFrancis, to step Checkpoint: 000274
to stream Main, to step Merge: 004569
to stream Main, to step Curation: 004454

Le document en format XML

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<author><name sortKey="State, Radu" sort="State, Radu" uniqKey="State R" first="Radu" last="State">Radu State</name>
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<country>France</country>
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<author><name sortKey="Dulaunoy, Alexandre" sort="Dulaunoy, Alexandre" uniqKey="Dulaunoy A" first="Alexandre" last="Dulaunoy">Alexandre Dulaunoy</name>
<affiliation wicri:level="1"><inist:fA14 i1="03"><s1>CSRRT-LU</s1>
<s2>Luxembourg</s2>
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<term>Arbre phylogénétique</term>
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<front><div type="abstract" xml:lang="en">Several malware analysis techniques suppose that the disassembled code of a piece of malware is available, which is however not always possible. This paper proposes a flexible and automated approach to extract malware behaviour by observing all the system function calls performed in a virtualized execution environment. Similarities and distances between malware behaviours are computed which allows to classify malware behaviours. The main features of our approach reside in coupling a sequence alignment method to compute similarities and leverage the Hellinger distance to compute associated distances. We also show how the accuracy of the classification process can be improved using a phylogenetic tree. Such a tree shows common functionalities and evolution of malware. This is relevant when dealing with obfuscated malware variants that have often similar behaviour. The phylogenetic trees were assessed using known antivirus results and only a few malware behaviours were wrongly classified.</div>
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<country name="Luxembourg (pays)"><noRegion><name sortKey="Dulaunoy, Alexandre" sort="Dulaunoy, Alexandre" uniqKey="Dulaunoy A" first="Alexandre" last="Dulaunoy">Alexandre Dulaunoy</name>
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Malware behaviour analysis

Malware behaviour analysis

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri