DL (deep learning)
robot security and forensics
Big Data analysis
MetadataShow full item record
AbstractA systematic approach review had been applied on the edge devices intelligence survey. The observing and recording events that occur in the process of the research had been carried out. This kind of events had been collected. The analysing of the case study data was carried out. Eventually, concluded some results based on the investigation. Furthermore proposed a solution for the kind of edge device data cyber security problem solving, Edge Intelligence was defined as the devices available at the edge layer have some limited amount of computing resources which can be utilized and incorporated with machine learning or AI algorithms to perform real-time data analytics . Learning more in role of edge Intelligence to leverage IoT-assisted ecosystem. Here we also introduced Data Security Law 2021 application examples on Edge Intelligence. Data Security Law 2021 motivated from the cloud computing to edge device intelligence data process. This survey on edge intelligence had been carried out on investigated recent Robot and IoT (Internet of Things), AV (autonomous vehicle) and so on as edge terminal - edge devices and the challenges they had facing. In particular, AI (Artificial intelligence) application in edge device intelligence caused big data security threat. AI facing more challenges in edge computing. A comparison had been performed. Some advantages and disadvantages had been analysed. Edge device challenges on big data security issues had been discussed.
CitationFeng R, Feng X (2021) 'Robot, edge intelligence and data survey', 2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) - Canada, IEEE.
TypeConference papers, meetings and proceedings