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METHOD AND COMPUTER-IMPLEMENTED TOOL FOR VALIDATING SOFTWARE ARTIFACTS OF 'APPLICATIONS' BEING DESTINED FOR PLATFORM ECOSYSTEMS AND PLATFORM ECOSYSTEM

机译:用于验证“应用程序”的软件工件的方法和计算机实现的工具注定用于平台生态系统和平台生态系统的“应用程序”

摘要

In order to validate software artifacts (SWA) of "Applications " (APP) being destined for a platform ecosystem (PES) to ensure in a continuous manner that platform ecosystem threats or vulnerabilities are detectable and in particular the software artifacts do not do anything harmful on the platform ecosystems or are malicious for the platform ecosystem, it is proposed a validating system (CIT, PES, VSE) which can enable a platform ecosystems validation service to learn and adapt to new validation scenarios of the platform ecosystem (PES) in a continuous manner thereby providing a mechanism to incorporate validation requirements by learning about potential threats not yet identified manually or just not yet encountered and being capable of learning about domain specific threats for making it more sustainable and future proof. In order to continuously improve a validation service and thereby protecting the underlying platform ecosystem (PES) the validating system (CIT, PES, VSE) comprises a self- learning ability in the form of a learning module having to be customized to platform ecosystem needs in order to continuously learn and adapt.
机译:为了验证“应用程序”(APP)的软件工件(SWA)注定用于平台生态系统(PES),以便以连续的方式确保平台生态系统威胁或漏洞是可检测到的,特别是软件工件没有任何有害的文物在平台生态系统上或对平台生态系统进行恶意,提出了一个验证系统(CIT,PES,VSE),它可以使平台生态系统验证服务能够学习和适应平台生态系统(PE)的新验证方案从而提供了通过学习尚未手动识别的潜在威胁或尚未遇到的潜在威胁并能够了解域特定威胁,从而提供验证要求的机制,以便更具可持续性和未来证据。为了不断改进验证服务,从而保护底层平台生态系统(PE)验证系统(CIT,PE,VSE)包括一种学习模块的形式的自学习能力,必须定制为平台生态系统需要为了不断学习和适应。

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