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Titlebook: Computer Security; ESORICS 2019 Interna Apostolos P. Fournaris,Manos Athanatos,Joaquin Gar Conference proceedings 2020 Springer Nature Swit

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楼主: Coenzyme
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https://doi.org/10.1007/978-981-10-8965-7o cyber-threats. Among the other components, scenarios deployment requires a modeling language to express the (software and hardware) architecture of the underlying system, and an emulation platform..In this paper, we exploit a model-driven engineering approach to develop a framework for cyber secur
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The Chinese Road of the Rule of Lawh a vulnerable and a fixed version for XSS vulnerabilities reported with CVE IDs over a period of seven years. We used three commercial and two open source static code analysis tools. Based on the reported vulnerabilities we discovered code patterns that appear to be difficult to classify by static
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https://doi.org/10.1007/978-981-10-8965-7Operational Technology (OT). To alleviate this problem, we propose an open and flexible laboratory for experimenting with an IT/OT infrastructure and the related cybersecurity problems, such as emulating attacks and understanding how they work and how they could be identified and mitigated. We also
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https://doi.org/10.1007/978-981-10-8965-7able to social engineers. Approaches employed in social engineering do not differ significantly from the ones used in common fraud. This implies defence mechanisms against the fraud are useful to prevent social engineering, as well. We tackle this problem using and enhancing an existing online serio
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The Chinese Road to High Technologyty training is becoming imperative for the involved organizations. This paper presets a cyber security training platform, called THREAT-ARREST. The various platform modules can analyze an organization’s system, identify the most critical threats, and tailor a training program to its personnel needs.
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https://doi.org/10.1057/9781403905505s 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 ., a database that collects data related to APTs from existing public sources through a semi automatic methodology, and produce
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