The prevalence of Internet of Things(IoT)applications has generated an unprecedented volume of industrial data that create the main source of big data[1,2].How to effectively and efficiently preprocess,integrate,and a...The prevalence of Internet of Things(IoT)applications has generated an unprecedented volume of industrial data that create the main source of big data[1,2].How to effectively and efficiently preprocess,integrate,and analyze big IoT data from multiple sources is still a fundamental challenge[3,4].Fortunately,Artificial Intelligence(AI)has recently emerged as a key technology to achieving intelligent data analyses and scientific business decision-making.AI algorithms can process the streaming data generated by distributed IoT devices and provide powerful tools to address complex big data analytics[5,6].Therefore,the adaptation of AI-based methods is highly demanded for achieving their full potential in smart IoT applications.However,the IoT devices,which run in an unstable environment and have poor computing capabilities,are often confronted with a range of application requirements,such as quick response,secure communications,and privacy protection[7,8].Currently,lightweight security and privacy solutions specifically designed for the devices and servers operating in the IoT environment are still lacking.展开更多
文摘The prevalence of Internet of Things(IoT)applications has generated an unprecedented volume of industrial data that create the main source of big data[1,2].How to effectively and efficiently preprocess,integrate,and analyze big IoT data from multiple sources is still a fundamental challenge[3,4].Fortunately,Artificial Intelligence(AI)has recently emerged as a key technology to achieving intelligent data analyses and scientific business decision-making.AI algorithms can process the streaming data generated by distributed IoT devices and provide powerful tools to address complex big data analytics[5,6].Therefore,the adaptation of AI-based methods is highly demanded for achieving their full potential in smart IoT applications.However,the IoT devices,which run in an unstable environment and have poor computing capabilities,are often confronted with a range of application requirements,such as quick response,secure communications,and privacy protection[7,8].Currently,lightweight security and privacy solutions specifically designed for the devices and servers operating in the IoT environment are still lacking.
