Motivated by the recent explosion of interest around the Internet of Things (IoT), this paper is focused on the dynamics of its security. It is a fact that at present, there is a dearth of consolidated and methodical visions for assuring the security of IoT. This owes to its unique characteristics like interdependence of IoT devices and services, device heterogeneity, mobility, affinity to owners, pervasiveness, and unattended nature. The constraints of energy, memory, bandwidth and computability further complicate this picture. The strategies available in the literature today do not entirely consider this intricate nature of IoT environments. Moreover, uncertainty is not adequately acknowledged by the researchers while designing the security procedures for IoT, even though most of the IoT related security problems stem from an uncertain environment. This paper focuses on addressing this uncertainty, along with the other major security issues of IoT. It gives detailed categorization of the attacks in IoT. To this end, a Fuzzy Logic and Fog based Secure Architecture for IoT (FLFSIoT) has been proposed in this paper that works in real-time. In FLFSIoT, fuzzy logic has been used to alleviate the uncertainty of belonging to one crisp cluster of an edge node and for detecting various classical attacks. The Fog supported IoT architecture has been used to make FLFSIoT intrinsically more secure in comparison to the cloud-supported IoT by omitting the latency and other issues. As such, this work feeds the benefits of fuzzy log and fog computing into the carving of a generic solution to the IoT’s security problem. The efficiency of FLFSIoT has been evaluated against the Distributed Denial of Service (DDoS) and Collusion attacks, and it has been observed that it gives more accurate results than the existing benchmarks.

受最近有关物联网（IoT）的兴趣激增的推动，本文着重于其安全性的动态变化。事实是，目前缺乏确保物联网安全的统一和有条理的愿景。这归因于其独特的特性，例如物联网设备和服务的相互依赖性，设备异构性，移动性，对所有者的亲和力，普遍性和无人值守的性质。能量，内存，带宽和可计算性的约束使该情况更加复杂。当今文献中可用的策略并未完全考虑物联网环境的这种复杂性质。此外，研究人员在设计IoT安全程序时并未充分认识到不确定性，即使大多数与物联网相关的安全问题都源于不确定的环境。本文着重于解决这种不确定性以及物联网的其他主要安全问题。它提供了物联网中攻击的详细分类。为此，本文提出了一种基于模糊逻辑和雾的物联网安全架构（FLFSIoT），该架构可实时工作。在FLFSIoT中，模糊逻辑已被用于减轻属于边缘节点的一个清晰群集的不确定性并检测各种经典攻击。与Fos支持的IoT相比，Fog支持的IoT体系结构通过省略延迟和其他问题，已使FLFSIoT本质上更加安全。这样，这项工作将模糊日志和雾计算的好处带入了物联网安全问题通用解决方案的雕刻中。