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Threat Detection Model in Edge for the Internet of Things - A Comprehensive Multi-Layer Solution to Detect Threats in Edge and Cluster Large Networks of IoT

机译:物联网边缘的威胁检测模型-一种全面的多层解决方案,可检测物联网的边缘和集群大型网络中的威胁

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摘要

The Internet of Things (IoT) is emerging rapidly, with a huge impact on consumer products, resulting in the emergence of AI-based products such as Google Home and Amazon Echo. As the scale of IoT products gets larger, the more they would have to process personal information of users on a daily basis and as a result, the enterprises will have to enhance the security features to protect the devices from attacks. The addition of security features might effectively mean an increase in processing capability, increase in cost and storage, while the device-makers look to keep the prices low. This paper attempts to analyze security risks surrounding the Internet of Things and offer intrusion detection solution at the edge by a detection mechanism in the router.
机译:物联网(IoT)迅速崛起,对消费类产品产生了巨大影响,导致出现了基于AI的产品,例如Google Home和Amazon Echo。随着物联网产品规模的扩大,他们每天必须处理更多的用户个人信息,因此,企业将不得不增强安全功能以保护设备免受攻击。安全功能的增加可能有效地意味着处理能力的提高,成本和存储的增加,同时设备制造商希望保持较低的价格。本文试图分析物联网周围的安全风险,并通过路由器中的检测机制在边缘提供入侵检测解决方案。

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