Téléchargement | - Voir la version de l’auteur : Analyzing the usefulness of the DARPA OpTC dataset in cyber threat detection research (PDF, 501 Kio)
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DOI | Trouver le DOI : https://doi.org/10.1145/3450569.3463573 |
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Auteur | Rechercher : Anjum, Md. Monowar1; Rechercher : Iqbal, Shahrear1; Rechercher : Hamelin, Benoit |
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Affiliation | - Conseil national de recherches du Canada. Technologies numériques
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Format | Texte, Article |
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Conférence | SACMAT '21: The 26th ACM Symposium on Access Control Models and Technologies, June 16-18, 2021, Virtual Event Spain |
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Résumé | Maintaining security and privacy in real-world enterprise networks is becoming more and more challenging. Cyber actors are increasingly employing previously unreported and state-of-the-art techniques to break into corporate networks. To develop novel and effective methods to thwart these sophisticated cyber attacks, we need datasets that reflect real-world enterprise scenarios to a high degree of accuracy. However, precious few such datasets are publicly available. Researchers still predominantly use the decade-old KDD datasets, however, studies showed that these datasets do not adequately reflect modern attacks like Advanced Persistent Threats (APT). In this work, we analyze the usefulness of the recently introduced DARPA Operationally Transparent Cyber (OpTC) dataset in this regard. We describe the content of the dataset in detail and present a qualitative analysis. We show that the OpTC dataset is an excellent candidate for advanced cyber threat detection research while also highlighting its limitations. Additionally, we propose several research directions where this dataset can be useful. |
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Date de publication | 2021-06-11 |
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Maison d’édition | ACM |
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Dans | |
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Langue | anglais |
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Publications évaluées par des pairs | Oui |
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Exporter la notice | Exporter en format RIS |
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Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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Identificateur de l’enregistrement | 258e6cfb-8da9-4251-aaad-002142ccdb4a |
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Enregistrement créé | 2021-07-27 |
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Enregistrement modifié | 2021-09-22 |
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