Nov. 22, 2022, 2:20 a.m. | Alexandros Zacharis, Constantinos Patsakis

cs.CR updates on arXiv.org arxiv.org

Content generation that is both relevant and up to date with the current
threats of the target audience is a critical element in the success of any
Cyber Security Exercise (CSE). Through this work, we explore the results of
applying machine learning techniques to unstructured information sources to
generate structured CSE content. The corpus of our work is a large dataset of
publicly available cyber security articles that have been used to predict
future threats and to form the skeleton …

cyber exercise framework recognition

SOC 2 Manager, Audit and Certification

@ Deloitte | US and CA Multiple Locations

Information Security Engineers

@ D. E. Shaw Research | New York City

SOC Cyber Threat Intelligence Expert

@ Amexio | Luxembourg, Luxembourg, Luxembourg

Systems Engineer - SecOps

@ Fortinet | Dubai, Dubai, United Arab Emirates

Ingénieur Cybersécurité Gouvernance des projets AMR H/F

@ ASSYSTEM | Lyon, France

Senior DevSecOps Consultant

@ Computacenter | Birmingham, GB, B37 7YS