POSTER: Leveraging Spectral Representations of Control Flow Graphs for Efficient Analysis of Windows Malware

Qirui Sun; Eldor Abdukhamidov; Tamer Abuhmed; Mohammed Abuhamad

doi:10.1145/3488932.3527294

POSTER: Leveraging Spectral Representations of Control Flow Graphs for Efficient Analysis of Windows Malware

Qirui Sun, Eldor Abdukhamidov, Tamer Abuhmed, Mohammed Abuhamad

Loyola University Chicago

Sungkyunkwan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	ASIA CCS 2022 - Proceedings of the 2022 ACM Asia Conference on Computer and Communications Security
Publisher	Association for Computing Machinery, Inc
Pages	1240-1242
Number of pages	3
ISBN (Electronic)	9781450391405
DOIs	https://doi.org/10.1145/3488932.3527294
State	Published - May 30 2022
Event	17th ACM ASIA Conference on Computer and Communications Security 2022, ASIA CCS 2022 - Virtual, Online, Japan Duration: May 30 2022 → Jun 3 2022

Publication series

Name	ASIA CCS 2022 - Proceedings of the 2022 ACM Asia Conference on Computer and Communications Security

Conference

Conference	17th ACM ASIA Conference on Computer and Communications Security 2022, ASIA CCS 2022
Country/Territory	Japan
City	Virtual, Online
Period	5/30/22 → 6/3/22

ASJC Scopus Subject Areas

Computer Networks and Communications
Computer Science Applications
Information Systems
Software

Keywords

malware detection
size-invariant representations
spectral representation
windows executable binaries

Access to Document

10.1145/3488932.3527294

Cite this

Sun, Q., Abdukhamidov, E., Abuhmed, T., & Abuhamad, M. (2022). POSTER: Leveraging Spectral Representations of Control Flow Graphs for Efficient Analysis of Windows Malware. In ASIA CCS 2022 - Proceedings of the 2022 ACM Asia Conference on Computer and Communications Security (pp. 1240-1242). (ASIA CCS 2022 - Proceedings of the 2022 ACM Asia Conference on Computer and Communications Security). Association for Computing Machinery, Inc. https://doi.org/10.1145/3488932.3527294

POSTER: Leveraging Spectral Representations of Control Flow Graphs for Efficient Analysis of Windows Malware. / Sun, Qirui; Abdukhamidov, Eldor; Abuhmed, Tamer et al.
ASIA CCS 2022 - Proceedings of the 2022 ACM Asia Conference on Computer and Communications Security. Association for Computing Machinery, Inc, 2022. p. 1240-1242 (ASIA CCS 2022 - Proceedings of the 2022 ACM Asia Conference on Computer and Communications Security).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sun, Q, Abdukhamidov, E, Abuhmed, T & Abuhamad, M 2022, POSTER: Leveraging Spectral Representations of Control Flow Graphs for Efficient Analysis of Windows Malware. in ASIA CCS 2022 - Proceedings of the 2022 ACM Asia Conference on Computer and Communications Security. ASIA CCS 2022 - Proceedings of the 2022 ACM Asia Conference on Computer and Communications Security, Association for Computing Machinery, Inc, pp. 1240-1242, 17th ACM ASIA Conference on Computer and Communications Security 2022, ASIA CCS 2022, Virtual, Online, Japan, 5/30/22. https://doi.org/10.1145/3488932.3527294

Sun Q, Abdukhamidov E, Abuhmed T, Abuhamad M. POSTER: Leveraging Spectral Representations of Control Flow Graphs for Efficient Analysis of Windows Malware. In ASIA CCS 2022 - Proceedings of the 2022 ACM Asia Conference on Computer and Communications Security. Association for Computing Machinery, Inc. 2022. p. 1240-1242. (ASIA CCS 2022 - Proceedings of the 2022 ACM Asia Conference on Computer and Communications Security). doi: 10.1145/3488932.3527294

Sun, Qirui ; Abdukhamidov, Eldor ; Abuhmed, Tamer et al. / POSTER : Leveraging Spectral Representations of Control Flow Graphs for Efficient Analysis of Windows Malware. ASIA CCS 2022 - Proceedings of the 2022 ACM Asia Conference on Computer and Communications Security. Association for Computing Machinery, Inc, 2022. pp. 1240-1242 (ASIA CCS 2022 - Proceedings of the 2022 ACM Asia Conference on Computer and Communications Security).

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POSTER: Leveraging Spectral Representations of Control Flow Graphs for Efficient Analysis of Windows Malware

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this