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Detection of Similar Functions Through the Use of Dominator Information

Schäfer, André and Amme, Wolfram and Heinze, Thomas (2020) Detection of Similar Functions Through the Use of Dominator Information. In: 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C), pp. 206-211. IEEE. 2nd International Workshop on Self-Protecting Systems (SPS'20), 17 August 2020, Washington, DC, Washington, United States. ISBN 978-1-7281-8414-2.

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Official URL: https://doi.ieeecomputersociety.org/10.1109/ACSOS-C51401.2020.00057

Abstract

The detection of code clones is an important technique for finding malware and malicious code. Many existing methods work on source code to detect code clones. Recent work in this area has started to focus on the analysis of compiled code to find malicious code. We introduce a new method to detect code clones using Java bytecode and control flow information from dominator trees. A prototype implementation was developed and compared with the state-of-the-art clone detector NiCad to evaluate the basic functionality of the method. First experiments have shown that the method can reliably find Type 1 and Type 2 clones and even find additional clones.

Item URL in elib:https://elib.dlr.de/136289/
Document Type:Conference or Workshop Item (Speech)
Title:Detection of Similar Functions Through the Use of Dominator Information
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Schäfer, AndréFriedrich-Schiller-Universität JenaUNSPECIFIED
Amme, Wolframwolfram.amme (at) uni-jena.deUNSPECIFIED
Heinze, Thomasthomas.heinze (at) dlr.deUNSPECIFIED
Date:2020
Journal or Publication Title:2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 206-211
Publisher:IEEE
ISBN:978-1-7281-8414-2
Status:Published
Keywords:Clone Detection, Malware Detection, Dominator Tree, Control Flow, Path Embedding
Event Title:2nd International Workshop on Self-Protecting Systems (SPS'20)
Event Location:Washington, DC, Washington, United States
Event Type:Workshop
Event Dates:17 August 2020
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:other
DLR - Research area:Raumfahrt
DLR - Program:R - no assignment
DLR - Research theme (Project):R - no assignment
Location: Jena
Institutes and Institutions:Institute of Data Science > Secure Digital Systems
Deposited By: Heinze, Thomas
Deposited On:28 Sep 2020 08:56
Last Modified:28 Sep 2020 08:56

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