使用机器学习的云服务管理的认证密钥交换协议安全性

Vani Agrawal, Nilesh Dubey, Virendra Singh, Nepali Singla, Sarvesh Kumar, Dinesh Goyal
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引用次数: 0

摘要

基于云的确认的原因是保护组织免受试图获取机密数据的程序员的攻击。云验证允许跨组织和大陆的经批准的客户安全地访问存储在云中的数据,并通过基于云的管理进行验证。人工智能(AI)允许组织授权信息来显示框架如何解决人工智能计算的核心问题,以及如何在一段时间后变得更好。目前的企业受到信息的冲击。为了推动更好的商业决策,他们需要对其进行分类。对于所有数据科学和机器学习爱好者来说,分布式计算是一个巨大的术语。即使是在青少年时期,你也不可能碾过它,这是很牵强的。最重要的问题是云服务需要这种类型的安全性。一个明确的解释是,随着数据集的发展,也就是添加了更多的模型和特征,人工智能模型最终会变得更加多面化。IKE (Internet Key Exchange)是一种标准约定,用于通过VPN (virtual private network)在两个集合之间建立安全、可靠的通信通道。该协议保证了VPN交换、远程主机和组织访问的安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Authenticated key exchange protocol security of cloud services management using machine learning
The reason for cloud-based confirmation is to shield organizations from programmers attempting to take classified data. Cloud validation permits approved clients across organizations and landmasses to safely get to data put away in the cloud with verification given through cloud-based administrations. Artificial intelligent (AI) permits organizations to empower the information to show the framework how to tackle the central issue with AI calculations and how to get better after some time. The present undertakings are assaulted with information. To drive better business decisions, they need to sort out it. Distributed computing is a huge term for all Data Science and Machine Learning Enthusiasts. It is far-fetched that you probably won’t have run over it, even as a juvenile. The most important issue is that this type of security is needed for the cloud services. A clear explanation for this is that as the dataset develops, i.e., more models and features are added, the AI model ends up being more multifaceted. Internet Key Exchange (IKE) is a standard convention used to set up a safe and confirmed correspondence channel between two gatherings through a virtual private network (VPN). The convention guarantees security for VPN exchange, remote host and organization access.
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