
arXiv: 2308.14016
MITRE ATT&CK is a comprehensive framework of adversary tactics, techniques, and procedures based on real-world observations. It has been used as a foundation for threat modeling in different sectors, such as government, academia, and industry. To the best of our knowledge, no previous work has been devoted to the comprehensive collection, study, and investigation of the current state of the art leveraging the MITRE ATT&CK framework. We select and inspect more than 50 major research contributions, while conducting a detailed analysis of their methodology and objectives in relation to the MITRE ATT&CK framework. We provide a categorization of the identified papers according to different criteria such as use cases, application scenarios, adopted methodologies, and the use of additional data. Finally, we discuss open issues and future research directions involving not only the MITRE ATT&CK framework but also the fields of threat analysis, threat modeling, and in general cyber-threat intelligence.
FOS: Computer and information sciences, Computer Science - Cryptography and Security, Cryptography and Security (cs.CR)
FOS: Computer and information sciences, Computer Science - Cryptography and Security, Cryptography and Security (cs.CR)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 75 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
