Leon Kersten (TU Eindhoven)

The skill set of tier-1 (T1) analysts have a great influence on the day-to-day operations of a Security Operation Center (SOC). Therefore, it is critical for a SOC to be able to evaluate the relevant skill sets of incoming analyst at recruitment and throughout their progress at the SOC. In this short paper, we identify from extant literature the relevant skills an analyst needs, and devise a test to evaluate those in collaboration with a commercial SOC. We conduct a case study of this test with three aspiring analysts at the collaborating SOC over a period of three months. Our case study shows that the test can be used to evaluate different skills of an analyst and can give insights at the SOC on analyst progress and training effectiveness, opening avenues for a full validation of the testing framework in future work. We discuss results, limitations, and future directions of this work.

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CounterSEVeillance: Performance-Counter Attacks on AMD SEV-SNP

Stefan Gast (Graz University of Technology), Hannes Weissteiner (Graz University of Technology), Robin Leander Schröder (Fraunhofer SIT, Darmstadt, Germany and Fraunhofer Austria, Vienna, Austria), Daniel Gruss (Graz University of Technology)

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BULKHEAD: Secure, Scalable, and Efficient Kernel Compartmentalization with PKS

Yinggang Guo (State Key Laboratory for Novel Software Technology, Nanjing University; University of Minnesota), Zicheng Wang (State Key Laboratory for Novel Software Technology, Nanjing University), Weiheng Bai (University of Minnesota), Qingkai Zeng (State Key Laboratory for Novel Software Technology, Nanjing University), Kangjie Lu (University of Minnesota)

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Cyber Threat Intelligence for SOC Analysts

Nidhi Rastogi, Md Tanvirul Alam (Rochester Institute of Technology)

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Revisiting EM-based Estimation for Locally Differentially Private Protocols

Yutong Ye (Institute of software, Chinese Academy of Sciences & Zhongguancun Laboratory, Beijing, PR.China.), Tianhao Wang (University of Virginia), Min Zhang (Institute of Software, Chinese Academy of Sciences), Dengguo Feng (Institute of Software, Chinese Academy of Sciences)

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