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FOCUS: A fog computing-based security system for the Internet of Things

机译:FOCUS:物联网的基于雾计算的安全系统

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As the Internet of Things (IoT) continues to grow, there arises concerns and challenges with regard to the security and privacy of the IoT. Cyber attacks such as man-in-the-middle and distributed denial of service (DDoS) are typical threats to the IoT. In this paper, we propose a FOg CompUting-based Security (FOCUS) system to protect the IoT against malware cyber attacks. The proposed FOCUS system leverages the virtual private network (VPN) to secure the communication channels to the IoT devices. In addition, FOCUS adopts a challenge-response authentication to protect the VPN server against potential DDoS attacks, which can further enhance the security of the IoT system. Such a double protection scheme is effective in mitigating various malicious attacks and can provide a high standard security for the IoT system. Furthermore, FOCUS is implemented in fog computing that is close to the end users, thus achieving a fast response and an efficient network consumption. We demonstrate FOCUS in a proof-of-concept prototype, and conduct experiments to evaluate its performance. The results show that FOCUS can effectively filter out malicious attacks with a low response time and a small amount of network bandwidth consumption.
机译:随着物联网(IoT)的不断发展,人们对物联网的安全性和隐私性产生了担忧和挑战。中间人攻击和分布式拒绝服务(DDoS)等网络攻击是对IoT的典型威胁。在本文中,我们提出了一种基于雾计算的安全性(FOCUS)系统,以保护IoT免受恶意软件网络攻击。拟议的FOCUS系统利用虚拟专用网(VPN)来保护与IoT设备的通信通道。此外,FOCUS采用挑战响应身份验证来保护VPN服务器免受潜在的DDoS攻击,从而可以进一步增强IoT系统的安全性。这种双重保护方案可有效缓解各种恶意攻击,并可为物联网系统提供高标准的安全性。此外,FOCUS是在靠近最终用户的雾计算中实现的,从而实现了快速响应和有效的网络消耗。我们在概念验证原型中演示FOCUS,并进行实验以评估其性能。结果表明,FOCUS可以以较低的响应时间和少量的网络带宽消耗有效地过滤掉恶意攻击。

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