An AI Model for Digital Forensic Readiness in the Cloud using Secure Access Service Edge

T. Hungwe, Hein Venter
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Abstract

Computing infrastructure has evolved and has brought about changes to the ways that work and business are carried out. Cloud computing has redefined these workspaces by providing connectivity and tools to enable productivity, collaboration, and flexibility.   As work moves outside the centralised office and goes remote, users are accessing the cloud directly, leaving the protection of the corporate network and leaving the users’ computing platforms open to threats. In the pre-cloud era, the data centre for organisations was the single location where digital assets would be housed and non-complicated security parameters implemented. The firewall would be the main security perimeter implemented to secure the network in this pre-cloud era. The advent of cloud computing has brought potential areas and gaps in securing the organisational data, information and communication connectivity to the cloud-based resources. As such, there is need to rethink and redesign the models which can be implemented to secure the cloud computing services. The cloud should be in a state of digital forensics readiness in order to facilitate digital forensics investigation. The study focuses on the development of an artificial intelligence model for digital forensic readiness for the cloud using secure access service edge. This integrated approach might assist in the provisioning of cloud security.
使用安全访问服务边缘的云数字取证准备人工智能模型
计算基础设施不断发展,改变了工作和业务的开展方式。云计算通过提供连接性和工具来提高生产力、协作性和灵活性,从而重新定义了这些工作空间。 随着工作走出集中式办公室,走向远程,用户开始直接访问云,从而离开了企业网络的保护,使用户的计算平台面临威胁。在前云时代,企业的数据中心是存放数字资产和实施简单安全参数的唯一地点。在前云计算时代,防火墙是保障网络安全的主要安全边界。云计算的出现为确保组织数据、信息和与云资源的通信连接的安全带来了潜在的领域和差距。因此,有必要重新思考和设计可用于确保云计算服务安全的模式。云计算应处于数字取证就绪状态,以促进数字取证调查。本研究的重点是利用安全访问服务边缘为云计算的数字取证准备就绪状态开发一个人工智能模型。这种综合方法可能有助于提供云安全。
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