论文标题
边缘计算安全性和可能的威胁保护的SLR
An SLR on Edge Computing Security and possible threat protection
论文作者
论文摘要
移动设备和物联网设备由于指数增长和可访问性而生成了大量的多模式数据。结果，必须在网络边缘实时直接分析这些数据源，而不是依靠云。网络边缘的重要处理能力使得在将数据发送到云之前，可以收集数据并做出决策。此外，由于移动设备，物联网（IoT）设备和各种网络点的迅速扩展，安全问题已经大大增加了。保证敏感数据的隐私（包括客户信息）比以往任何时候都困难得多。这项系统的文献综述描述了一个事实，即新技术是与攻击和对边缘计算安全性威胁作斗争的好武器。
Mobile and Internet of Things devices are generating enormous amounts of multi-modal data due to their exponential growth and accessibility. As a result, these data sources must be directly analyzed in real time at the network edge rather than relying on the cloud. Significant processing power at the network's edge has made it possible to gather data and make decisions prior to data being sent to the cloud. Moreover, security problems have significantly towered as a result of the rapid expansion of mobile devices, Internet of Things (IoT) devices, and various network points. It's much harder than ever to guarantee the privacy of sensitive data, including customer information. This systematic literature review depicts the fact that new technologies are a great weapon to fight with the attack and threats to the edge computing security.
