Publication result detail

Grammar-Based Malicious Code Detection Concept

JIRÁK, O.

Original Title

Grammar-Based Malicious Code Detection Concept

English Title

Grammar-Based Malicious Code Detection Concept

Type

Paper in proceedings outside WoS and Scopus

Original Abstract

This paper describes two approaches of malware detection system based on scattered context grammars. The first solution uses the control flow graphs and a high-order language structure detection. The second concept uses the binary data as an input of the scattered context grammar compiler. This solution is based on pattern recognition.

English abstract

This paper describes two approaches of malware detection system based on scattered context grammars. The first solution uses the control flow graphs and a high-order language structure detection. The second concept uses the binary data as an input of the scattered context grammar compiler. This solution is based on pattern recognition.

Keywords

control flow graph, scattered context grammar, detection, decompiler, malware

Key words in English

control flow graph, scattered context grammar, detection, decompiler, malware

Authors

JIRÁK, O.

Released

28.04.2011

Publisher

Faculty of Information Technology BUT

Location

Brno

ISBN

978-80-214-4273-3

Book

Proceedings of the 17th Conference and Competition STUDENT EEICT 2011 Volume 3

Pages from

485

Pages to

489

Pages count

5

URL

http://www.feec.vutbr.cz/EEICT/2011/sbornik/03-Doktorske%20projekty/08-Informacni%20systemy/06-xjirak03.pdf

BibTex

@inproceedings{BUT91270,
  author="Ota {Jirák}",
  title="Grammar-Based Malicious Code Detection Concept",
  booktitle="Proceedings of the 17th Conference and Competition STUDENT EEICT 2011 Volume 3",
  year="2011",
  pages="485--489",
  publisher="Faculty of Information Technology BUT",
  address="Brno",
  isbn="978-80-214-4273-3",
  url="http://www.feec.vutbr.cz/EEICT/2011/sbornik/03-Doktorske%20projekty/08-Informacni%20systemy/06-xjirak03.pdf"
}