Abstract
Nowadays, the integration of Wireless Sensor Networks (WSN) and the Internet of Things (IoT) provides a great concern for the research community for enabling advanced services. An IoT network may comprise a large number of heterogeneous smart devices for gathering and forwarding huge data. Such diverse networks raise several research questions, such as processing, storage, and management of massive data. Furthermore, IoT devices have restricted constraints and expose to a variety of malicious network attacks. This paper presents a Secure Sensor Cloud Architecture (SASC) for IoT applications to improve network scalability with efficient data processing and security. The proposed architecture comprises two main phases. Firstly, network nodes are grouped using unsupervised machine learning and exploit weighted-based centroid vectors for the development of intelligent systems. Secondly, the proposed architecture makes the use of sensor-cloud infrastructure for boundless storage and consistent service delivery. Furthermore, the sensor-cloud infrastructure is protected against malicious nodes by using a mathematically unbreakable one-time pad (OTP) encryption scheme to provide data security. To evaluate the performance of the proposed architecture, different simulation experiments are conducted using Network Simulator (NS3). It has been observed through experimental results that the proposed architecture outperforms other state-of-the-art approaches in terms of network lifetime, packet drop ratio, energy consumption, and transmission overhead.
Highlights
In the last few years, wireless sensor networks (WSNs) gained a lot of research interest from the research community due to its dynamic nature and wide range of applications [1,2]
There are different kinds of sensors used based on applications such as measuring pressure, temperature, humidity, and mobility [3,4]
All sensed information is further forwarded to the base station (BS) via the appropriate forwarding node called the cluster head
Summary
In the last few years, wireless sensor networks (WSNs) gained a lot of research interest from the research community due to its dynamic nature and wide range of applications [1,2]. A WSN comprises tiny smart devices called micro-sensors with limited memory, storage, processing, and battery resources. There are different kinds of sensors used based on applications such as measuring pressure, temperature, humidity, and mobility [3,4]. All sensed information is further forwarded to the base station (BS) via the appropriate forwarding node called the cluster head. As the network size and nodes’ density increases, the network scalability with data security is most of the challenging tasks for WSNs [5,6,7,8,9].
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