异常检测英语

The number of devices on the Internet exceeded the number of people on the Internet in 2008, and is estimated to reach 50 billion in 2020. A wide-ranging Internet of Things (IOT) ecosystem is emerging to support the process of connecting real-world objects like buildings, roads, household appliances, and human bodies to the Internet via sensors and microprocessor chips that record and transmit data such as sound waves, temperature, movement, and other variables. The explosion in Internet-connected sensors means that new classes of technical capability and application are being created. More granular 24/7 quantified monitoring is leading to a deeper understanding of the internal and external worlds encountered by humans. New data literacy behaviors such as correlation assessment, anomaly detection, and high-frequency data processing are developing as humans adapt to the different kinds of data flows enabled by the IOT. The IOT ecosystem has four critical functional steps: data creation, information generation, meaning-making, and action-taking. This paper provides a comprehensive review of the current and rapidly emerging ecosystem of the Internet of Things (IOT).译文： 在2018，互联网设备的数量超过了互联网网民的数量， 据预测，到2020年，互联网设备数量将达到500亿。 互联网生态系统开始形成，以支持现实世界的实物，例如建筑、道路、家具、以及通过传感器和微芯片将人体和互联网连，这些传感器和微芯片可以传送和记录声波，温度、和其他变量。 将互联网和实物通过传感器连接的技术的普及，意味着人类技术能力和应用能力的创新。 更多的颗粒状的可以全天候检测的传感设备让人类对可以接触的外部和内容世界有了更深的理解。得益于物联网，随着人类开始适应各种数据流，新的数据素养行为，例如关联性评估、异常检测、高频数据处理，也开始发展起来。 IOT物联网生态系统有四个重要的功能因素： 数据产生，信息产生，意义创造，行为产生。 本文综合介绍了目前快速发展的物联网生态系统。

入侵检测是防火墙的合理补充，帮助系统对付网络攻击，扩展系统管理员的安全管理能力（包括安全审计、监视、进攻识别和响应），提高信息安全基础结构的完整性。它从计算机网络系统中的若干关键点收集信息，并分析这些信息，检查网络中是否有违反安全策略的行为和遭到袭击的迹象

异常是针对正常来说的可能是对入侵的另外一种好听的解释吧~