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brightmt f88fdabdad Update references (#172)
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Updated references.

* Update references_to_mbc.md

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Co-authored-by: Desiree Beck <dbeck@mitre.org>
2024-12-27 11:15:10 -05:00

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MBC in the Wild

The following table lists papers and presentations that reference MBC.

Date Reference
May 2024 M. Beninger et al, “ERSO: Enhancing Military Cybersecurity with AI-Driven SBOM for Firmware Vulnerability Detection and Asset Management,” CyCon 2024. https://ccdcoe.org/uploads/2024/05/CyCon_2024_Beninger_Charland_Ding_Fung-1.pdf
Apr 2024 A. Nadeem, “Understanding Adversary Behavior via XAI: Leveraging Sequence Clustering To Extract Threat Intelligence,” Thesis, TU Delft. https://research.tudelft.nl/en/publications/understanding-adversary-behavior-via-xai-leveraging-sequence-clus
Mar 2024 A. Nair and G. Ramesh, “Ontology-Driven Behavioral Model for Ransomware Traceability.” https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4779064
Jan 2024 A. Ruggia, “Unmasking the Veiled: A Comprehensive Analysis of Android Evasive Malware.” https://hal.science/hal-04378941/
Dec 2023 D. Sim et al, “A SIEM and Multiple Analysis Software Integrated Malware Detection Approach.” https://ieeexplore.ieee.org/abstract/document/10425463
Aug 2023 J. Liu et al, “MRm-DLDet: a memory-resident malware detection framework based on memory forensics and deep neural network.” https://link.springer.com/article/10.1186/s42400-023-00157-w
Jul 2023 D. Beck, “Malware Behavior Catalog,” Poster at 14th Annual Malware TEM, Lawrence Livermore National Laboratory, 25-26 July 2023.
Mar 2023 M. Smith et al, “All Models are Wrong, but Some(times) are Useful: Evaluating when Machine Learning Models are Useful for Detecting Novel Malware in the Wild,” Sandia NL, 2022. https://www.osti.gov/servlets/purl/2005426
Mar 2023 S. Kumari, “TRY HACK ME: Basic Static Analysis Write-Up,” Medium, 3/13/2023. https://medium.com/@kumarishefu.4507/try-hack-me-basic-static-analysis-write-up-500b0e23792d
Feb 2023 L. Zeltser, “SANS DFIR Malware Analysis Tips and Tricks Poster.” https://www.sans.org/posters/malware-analysis-tips-tricks-poster/
Oct 2022 M. Smith, “MalGen: Malware Generation with Specific Behaviors to Improve Machine Learning-based Detectors.” https://www.osti.gov/biblio/1893244
Sep 2022 R. Marinho et al, ”Introdução à Análise de Códigos Maliciosos para ambiente Windows.” https://sol.sbc.org.br/livros/index.php/sbc/catalog/download/107/479/752-1
Aug 2022 AccidentalRebel, “Talking about Mitre's Malware Behavior Catalog” Blackhat Middle East & Africa community meetup lightning talk, 2022. https://www.accidentalrebel.com/talking-about-mitres-malware-behavior-catalog.html
Jul 2022 K. Licudine, “MBCScan,” scans a file for MBC behaviors. https://github.com/accidentalrebel/mbcscan
May 2022 “Hackers-Tools.” https://github.com/Willian-2-0-0-1/Hacker-s-Tools-/blob/main/README.md
Dec 2021 L.F. Martin, “PIFMANA: Pipeline for Malware Analysis,” Master Thesis, Universitat Oberta de Catalunya, 2021.
Dec 2021 K. Oosthoek and C. Doerr, "Inside the Matrix: CTI Frameworks as Partial Abstractions of Complex Threats," 2021 IEEE International Conference on Big Data (Big Data), 2021.
Dec 2021 M. R. Smith et al., "Malware Generation with Specific Behaviors to Improve Machine Learning-based Detection," 2021 IEEE International Conference on Big Data (Big Data), 2021.
Nov 2021 K. Licudine, Blackhat Middle East community meetup presentation. https://www.linkedin.com/posts/juan-karlo-licudine_malware-community-middleeast-activity-6958155280530456576-UUlb/
Nov 2021 F. Bilstein, “Capability Analysis of Malicious Software,” Universitat Bonn, Nov 2021 (advisor: Daniel Plohmann, Malpedia)
Oct 2021 M. M. Islam, A. Dutta, M. S. I. Sajid, E. Al-Shaer, J. Wei and S. Farhang, "CHIMERA: Autonomous Planning and Orchestration for Malware Deception," 2021 IEEE Conference on Communications and Network Security (CNS), 2021.
Sep 2021 D. Beck, “Malware Behavior Catalog,” DoD/NNSA SwA CoP 2021, Sept 2021.
Jul 2021 N. Johnson, “Going Beyond Signature Malware Detection by Learning Behaviors,” Sandia. SAND2021-8104C.
Apr 2021 K. Licudine, “mbclib,” library for querying the STIX data for MBC. https://pypi.org/project/mbclib/#description
Nov 2020 M.R. Smith et al, “Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Information Security,” AISec 20, 13 Nov 2020.
Oct 2020 D. Beck, “Standardized Reporting with MBC,” VB2020 localhost.
May 2020 M.R. Smith et al, “Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Information Security,” arXivLabs, May 2020.
Oct 2019 D. Beck, “Malware Behavior Catalog,” BSidesDC, Oct 2019.
Jul 2019 D. Beck, “Malware Behavior Catalog,” MTEM, July 2019.
Jun 2019 K. OMeara, “Behavioral Matrix and Tool Analysis of Energetic Bear and GreyEnergy Actor,” SEI CERT Coordination Center, June 2019.