Mobile Edge Computing (MEC) is a new computing paradigm that enables cloud computing and information technology (IT) services to be delivered at the network's edge. By shifting the load of cloud computing to individual local servers, MEC helps meet the requirements of ultralow latency, localized data processing, and extends the potential of Internet of Things (IoT) for end-users. However, the crosscutting nature of MEC and the multidisciplinary components necessary for its deployment have presented additional security and privacy concerns. Fortunately, Artificial Intelligence (AI) algorithms can cope with excessively unpredictable and complex data, which offers a distinct advantage in dealing with sophisticated and developing adversaries in the security industry. Hence, in this paper we comprehensively provide a survey of security and privacy in MEC from the perspective of AI. On the one hand, we use European Telecommunications Standards Institute (ETSI) MEC reference architecture as our based framework while merging the Software Defined Network (SDN) and Network Function Virtualization (NFV) to better illustrate a serviceable platform of MEC. On the other hand, we focus on new security and privacy issues, as well as potential solutions from the viewpoints of AI. Finally, we comprehensively discuss the opportunities and challenges associated with applying AI to MEC security and privacy as possible future research directions.

翻译：移动边缘计算（MEC）是一种新型计算范式，能够在网络边缘交付云计算与信息技术（IT）服务。通过将云计算负载转移至本地服务器，MEC满足了超低延迟、本地化数据处理的需求，并拓展了物联网（IoT）面向终端用户的潜力。然而，MEC的跨领域特性及其部署所需的多学科组件，带来了额外的安全与隐私问题。幸运的是，人工智能（AI）算法能够应对高度不可预测且复杂的数据，在处理安全领域精密演化型攻击者方面具有独特优势。因此，本文从人工智能视角全面综述了MEC中的安全与隐私问题。一方面，我们以欧洲电信标准化协会（ETSI）MEC参考架构为基础框架，融合软件定义网络（SDN）与网络功能虚拟化（NFV）以更清晰地描绘MEC的可服务平台；另一方面，我们聚焦新兴安全与隐私问题，并从AI视角探讨潜在解决方案。最后，我们系统讨论了将AI应用于MEC安全与隐私领域的机遇与挑战，作为未来研究方向的展望。