SNPL: One Scheme of Securing Nodes in IoT Perception Layer The trustworthiness of data is vital data analysis in the age of big data. In cyberphysical systems, most data is collected by sensors. With the increase of sensors as Internet of Things (IoT) nodes in the network, the security risk of data tampering, unauthorized access, false identify, and others are overgrowing because of vulnerable nodes, which leads to the great economic and social loss. This paper proposes a security scheme, Securing Nodes in IoT Perception Layer (SNPL), for protecting nodes in the perception layer. The SNPL is constructed by novel lightweight algorithms to ensure security and satisfy performance requirements, as well as safety technologies to provide security isolation for sensitive operations. A series of experiments with different types and numbers of nodes are presented. Experimental results and performance analysis show that SNPL is efficient and effective at protecting IoT from faulty or malicious nodes. Some potential practical application scenarios are also discussed to motivate the implementation of the proposed scheme in the real world.

Multilayer Approach to Internet of Things (IoT) Security The Internet of Things (IoT) is a huge, global, distributed network of interlinked heterogeneous devices armed with embedded sensors, actuators and processors enabling them to connect to the internet, exchange data, communicate and interact seamlessly with one another in real time. It enjoys wide range of applications where it holds important data, hence becoming exposed to varying degrees of security and privacy threats which require careful architectural design to address. Consequently, we present in this paper a multilayer security aware IoT architecture that aims to secure the entire system by providing security at all layers to ensure secure data collection, transfer, analysis, storage and usage. That is necessary because each layer of the IoT has vulnerabilities and a successful attack on any layer can have farreaching impact on the whole system. We then proposed a novel security algorithm to protect the IoT system against Denial of Service (DoS) attacks at the application layer, the weakest link in IoT. The algorithm logs record of user activities and actions at given times of the day which it employs to regulate access and prevent DoS attacks. Finally, we evaluated our proposed approach against IoT security and privacy requirements, and it demonstrated better level of security.