  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.
