Advance Persistent Threats (APTs) are the most challenging adversaries for financial companies and critical infrastructures. Many open source platforms present various information about APTs but do not fully cover multiple edges of the diamond model, or may be easily used for research purpose. For this reason, we propose dAPTaset, a database that collects data related to APTs from existing public sources through a semi automatic methodology, and produces an exhaustive dataset.
dAPTaset: a comprehensive mapping of APT-related data / Laurenza, G.; Lazzeretti, R.. - 11981:(2020), pp. 217-225. (Intervento presentato al convegno 2nd International Workshop on Information and Operational Technology (IT and OT) security systems, IOSec 2019, the 1st International Workshop on Model-driven Simulation and Training Environments, MSTEC 2019, and the 1st International Workshop on Security for Financial Critical Infrastructures and Services, FINSEC 2019, held in conjunction with the 24th European Symposium on Research in Computer Security, ESORICS 2019 tenutosi a Luxembourg City; Luxembourg) [10.1007/978-3-030-42051-2_15].
dAPTaset: a comprehensive mapping of APT-related data
Laurenza G.
;Lazzeretti R.
2020
Abstract
Advance Persistent Threats (APTs) are the most challenging adversaries for financial companies and critical infrastructures. Many open source platforms present various information about APTs but do not fully cover multiple edges of the diamond model, or may be easily used for research purpose. For this reason, we propose dAPTaset, a database that collects data related to APTs from existing public sources through a semi automatic methodology, and produces an exhaustive dataset.| File | Dimensione | Formato | |
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