Abstract
Current threat analysis processes followed by tier-1 (T1) analysts in a Security Operation Center (SOC) rely mainly on tacit knowledge, and can differ greatly across analysts. The lack of structure and clear objectives to T1 analyses makes operative inefficiencies hard to spot, SOC performance hard to measure (and therefore improve), results in overall lower security for the monitored environment(s), and contributes to analyst burnout. In this work we collaborate with a commercial SOC to devise a 4-stage (network) threat analysis process to support the collection and analysis of relevant information for threat analysis. We conduct an experiment with ten T1 analysts employed in the SOC and show that analysts following the proposed process are 2.5 times more likely to produce an accurate assessment than analysts who do not. We evaluate qualitatively the effects of the process on analysts decisions, and discuss implications for practice and research.
Original language | English |
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Title of host publication | Proceedings of the 19th Symposium on Usable Privacy and Security, SOUPS 2023 |
Place of Publication | Anaheim |
Publisher | Usenix Association |
Pages | 97-111 |
Number of pages | 15 |
ISBN (Electronic) | 978-1-939133-36-6 |
Publication status | Published - 7 Aug 2023 |
Event | 19th Symposium on Usable Privacy and Security, SOUPS 2023 - Anaheim, United States Duration: 7 Aug 2023 → 8 Aug 2023 Conference number: 19 |
Conference
Conference | 19th Symposium on Usable Privacy and Security, SOUPS 2023 |
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Abbreviated title | SOUPS 2023 |
Country/Territory | United States |
City | Anaheim |
Period | 7/08/23 → 8/08/23 |
Funding
This work is supported by the SeReNity project, Grant No. cs.010, funded by Netherlands Organisation for Scientific Research (NWO) and by the INTERSECT project, Grant No. NWA.1162.18.301, funded by NWO. The authors also thank the Eindhoven security hub SOC for its collaboration in this work.
Funders | Funder number |
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Nederlandse Organisatie voor Wetenschappelijk Onderzoek |