DMEF: Dynamic Malware Evaluation Framework

Christian Dietz; Marcel Antzek; Gabi Dreo; Anna Sperotto; Aiko Pras

doi:10.1109/NOMS54207.2022.9789908

DMEF: Dynamic Malware Evaluation Framework

Christian Dietz^*
, Marcel Antzek^*
, Gabi Dreo^*
, Anna Sperotto
, Aiko Pras

^*Corresponding author for this work

Design and Analysis of Communication Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

179 Downloads (Pure)

Abstract

Botnets are the top concern responsible for SPAM, Cryptomining, DDoS attacks and offer a variety of attacks-as-a-service to disrupt IT infrastructure and services. Current approaches to detect and analyze Botnet characteristics rely on disassembly and reverse engineering, and single instance deployments in an isolated environment. However, Botnets consist of distributed and interconnected instances and thus current approaches only observe a fraction of a Botnet and its characteristics. In this paper, we introduce the framework DMEF to deploy and analyze malware in a scalable, distributed and secure environment. DMEF provides a training environment for network administrators and researchers in the fight against malware and contributes to optimize intrusion response.

Original language	English
Title of host publication	Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022
Subtitle of host publication	Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022
Editors	Pal Varga, Lisandro Zambenedetti Granville, Alex Galis, Istvan Godor, Noura Limam, Prosper Chemouil, Jerome Francois, Marc-Oliver Pahl
Publisher	IEEE
Number of pages	7
ISBN (Electronic)	9781665406017
DOIs	https://doi.org/10.1109/NOMS54207.2022.9789908
Publication status	Published - 9 Jun 2022
Event	IEEE/IFIP Network Operations and Management Symposium, NOMS 2022 - Budapest, Hungary Duration: 25 Apr 2022 → 29 Apr 2022 https://noms2022.ieee-noms.org/

Publication series

Name	Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022

Conference

Conference	IEEE/IFIP Network Operations and Management Symposium, NOMS 2022
Abbreviated title	NOMS 2022
Country/Territory	Hungary
City	Budapest
Period	25/04/22 → 29/04/22
Internet address	https://noms2022.ieee-noms.org/

Keywords

2024 OA procedure

Access to Document

10.1109/NOMS54207.2022.9789908

DMEF_Dynamic_Malware_Evaluation_FrameworkFinal published version, 1.04 MBLicence: Taverne

Cite this

Dietz, C., Antzek, M., Dreo, G., Sperotto, A., & Pras, A. (2022). DMEF: Dynamic Malware Evaluation Framework. In P. Varga, L. Z. Granville, A. Galis, I. Godor, N. Limam, P. Chemouil, J. Francois, & M.-O. Pahl (Eds.), Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022 (Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022). IEEE. https://doi.org/10.1109/NOMS54207.2022.9789908

Dietz, Christian ; Antzek, Marcel ; Dreo, Gabi et al. / DMEF : Dynamic Malware Evaluation Framework. Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022. editor / Pal Varga ; Lisandro Zambenedetti Granville ; Alex Galis ; Istvan Godor ; Noura Limam ; Prosper Chemouil ; Jerome Francois ; Marc-Oliver Pahl. IEEE, 2022. (Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022).

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title = "DMEF: Dynamic Malware Evaluation Framework",

abstract = "Botnets are the top concern responsible for SPAM, Cryptomining, DDoS attacks and offer a variety of attacks-as-a-service to disrupt IT infrastructure and services. Current approaches to detect and analyze Botnet characteristics rely on disassembly and reverse engineering, and single instance deployments in an isolated environment. However, Botnets consist of distributed and interconnected instances and thus current approaches only observe a fraction of a Botnet and its characteristics. In this paper, we introduce the framework DMEF to deploy and analyze malware in a scalable, distributed and secure environment. DMEF provides a training environment for network administrators and researchers in the fight against malware and contributes to optimize intrusion response.",

keywords = "2024 OA procedure",

author = "Christian Dietz and Marcel Antzek and Gabi Dreo and Anna Sperotto and Aiko Pras",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; IEEE/IFIP Network Operations and Management Symposium, NOMS 2022, NOMS 2022 ; Conference date: 25-04-2022 Through 29-04-2022",

year = "2022",

month = jun,

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doi = "10.1109/NOMS54207.2022.9789908",

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editor = "Pal Varga and Granville, \{Lisandro Zambenedetti\} and Alex Galis and Istvan Godor and Noura Limam and Prosper Chemouil and Jerome Francois and Marc-Oliver Pahl",

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Dietz, C, Antzek, M, Dreo, G, Sperotto, A & Pras, A 2022, DMEF: Dynamic Malware Evaluation Framework. in P Varga, LZ Granville, A Galis, I Godor, N Limam, P Chemouil, J Francois & M-O Pahl (eds), Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022. Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022, IEEE, IEEE/IFIP Network Operations and Management Symposium, NOMS 2022, Budapest, Hungary, 25/04/22. https://doi.org/10.1109/NOMS54207.2022.9789908

DMEF: Dynamic Malware Evaluation Framework. / Dietz, Christian; Antzek, Marcel; Dreo, Gabi et al.
Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022. ed. / Pal Varga; Lisandro Zambenedetti Granville; Alex Galis; Istvan Godor; Noura Limam; Prosper Chemouil; Jerome Francois; Marc-Oliver Pahl. IEEE, 2022. (Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - DMEF

T2 - IEEE/IFIP Network Operations and Management Symposium, NOMS 2022

AU - Dietz, Christian

AU - Antzek, Marcel

AU - Dreo, Gabi

AU - Sperotto, Anna

AU - Pras, Aiko

PY - 2022/6/9

Y1 - 2022/6/9

N2 - Botnets are the top concern responsible for SPAM, Cryptomining, DDoS attacks and offer a variety of attacks-as-a-service to disrupt IT infrastructure and services. Current approaches to detect and analyze Botnet characteristics rely on disassembly and reverse engineering, and single instance deployments in an isolated environment. However, Botnets consist of distributed and interconnected instances and thus current approaches only observe a fraction of a Botnet and its characteristics. In this paper, we introduce the framework DMEF to deploy and analyze malware in a scalable, distributed and secure environment. DMEF provides a training environment for network administrators and researchers in the fight against malware and contributes to optimize intrusion response.

AB - Botnets are the top concern responsible for SPAM, Cryptomining, DDoS attacks and offer a variety of attacks-as-a-service to disrupt IT infrastructure and services. Current approaches to detect and analyze Botnet characteristics rely on disassembly and reverse engineering, and single instance deployments in an isolated environment. However, Botnets consist of distributed and interconnected instances and thus current approaches only observe a fraction of a Botnet and its characteristics. In this paper, we introduce the framework DMEF to deploy and analyze malware in a scalable, distributed and secure environment. DMEF provides a training environment for network administrators and researchers in the fight against malware and contributes to optimize intrusion response.

KW - 2024 OA procedure

UR - https://www.scopus.com/pages/publications/85133194203

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DO - 10.1109/NOMS54207.2022.9789908

M3 - Conference contribution

AN - SCOPUS:85133194203

T3 - Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022

BT - Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022

A2 - Varga, Pal

A2 - Granville, Lisandro Zambenedetti

A2 - Galis, Alex

A2 - Godor, Istvan

A2 - Limam, Noura

A2 - Chemouil, Prosper

A2 - Francois, Jerome

A2 - Pahl, Marc-Oliver

PB - IEEE

Y2 - 25 April 2022 through 29 April 2022

ER -

Dietz C, Antzek M, Dreo G, Sperotto A, Pras A. DMEF: Dynamic Malware Evaluation Framework. In Varga P, Granville LZ, Galis A, Godor I, Limam N, Chemouil P, Francois J, Pahl MO, editors, Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022. IEEE. 2022. (Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022). doi: 10.1109/NOMS54207.2022.9789908

DMEF: Dynamic Malware Evaluation Framework

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