在基于物联网/物联网的数字营销环境中,边缘人工智能的安全和隐私

R. Sachdev
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引用次数: 7

摘要

边缘人工智能(Edge AI)是当前和未来数字营销物联网(IoT) /万物互联(IoE)环境的一个关键方面。消费者经常向营销人员提供数据,用于增强服务和提供个性化的客户体验(CX)。然而,数据的使用、存储和处理一直是一个关键问题。边缘计算可以增强安全性和隐私性,据说这提高了这些领域的当前水平。例如,当某些数据处理可以在请求的本地完成时,安全性和隐私性可以得到增强。然而,在这样的环境中,边缘人工智能可能容易受到自身安全和隐私方面的考虑,特别是在涉及个人数据的数字营销环境中。一个持续的挑战是在这样的环境中维护安全性,并满足各种法律隐私要求,因为它们本身在不断发展,其中许多从技术角度来看并不完全清楚。本文介绍了IoT/IoE数字营销环境中边缘人工智能的一些关键安全和隐私问题,以及一些可能的缓解措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Security and Privacy for Edge AI in IoT/IoE based Digital Marketing Environments
Edge Artificial Intelligence (Edge AI) is a crucial aspect of the current and futuristic digital marketing Internet of Things (IoT) / Internet of Everything (IoE) environment. Consumers often provide data to marketers which is used to enhance services and provide a personalized customer experience (CX). However, use, storage and processing of data has been a key concern. Edge computing can enhance security and privacy which has been said to raise the current state of the art in these areas. For example, when certain processing of data can be done local to where requested, security and privacy can be enhanced. However, Edge AI in such an environment can be prone to its own security and privacy considerations, especially in the digital marketing context where personal data is involved. An ongoing challenge is maintaining security in such context and meeting various legal privacy requirements as they themselves continue to evolve, and many of which are not entirely clear from the technical perspective. This paper navigates some key security and privacy issues for Edge AI in IoT/IoE digital marketing environments along with some possible mitigations.
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