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Anatomy of Threats to the Internet of Things

机译:对东西互联网的威胁解剖

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摘要

The world is resorting to the Internet of Things (IoT) for ease of control and monitoring of smart devices. The ubiquitous use of IoT ranges from industrial control systems (ICS) to c-Health, e-Commerce, smart cities, supply chain management, smart cars, cyber physical systems (CPS), and a lot more. Such reliance on IoT is resulting in a significant amount of data to be generated, collected, processed, and analyzed. The big data analytics is no doubt beneficial for business development. However, at the same time, numerous threats to the availability and privacy of the user data, message, and device integrity, the vulnerability of IoT devices to malware attacks and the risk of physical compromise of devices pose a significant danger to the sustenance of IoT. This paper thus endeavors to highlight most of the known threats at various layers of the IoT architecture with a focus on the anatomy of malware attacks. We present a detailed attack methodology adopted by some of the most successful malware attacks on IoT, including ICS and CPS. We also deduce an attack strategy of a distributed denial of service attack through IoT botnet followed by requisite security measures. In the end, we propose a composite guideline for the development of an IoT security framework based on industry best practices and also highlight lessons learned, pitfalls and some open research challenges.
机译:世界迫切需要易于控制和监控智能设备的东西互联网(物联网)。从工业控制系统(IC)到C-Health,电子商务,智能城市,供应链管理,智能汽车,网络物理系统(CPS)的普遍存在的使用范围。这种对物联网的依赖导致要生成,收集,处理和分析的大量数据。大数据分析毫无疑问对业务发展有益。但是,与此同时,众多威胁到用户数据,消息和设备完整性的可用性和隐私,物联网设备的漏洞到恶意软件攻击以及设备的物理折衷风险对IoT的寄托构成了重大危险。因此,本文努力突出大部分内部架构层的已知威胁,重点是恶意软件攻击的解剖。我们介绍了一些关于IOT最成功的恶意软件攻击所采用的详细攻击方法,包括ICS和CP。我们还通过IoT Botnet推断出分布式拒绝服务攻击的攻击策略,然后是必要的安全措施。最后,我们提出了一个基于行业最佳实践的IOT安全框架的综合指南,并突出了学习的经验教训,陷阱和一些开放的研究挑战。

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