Abstract

Wireless Sensor Network (WSN) and Internet of Things (IoT) together have the potential to change the whole world into a smart planet. IoT technology has been a huge boon for a clean, green, and sustainable environment. This technology benefits numerous industries by improving connectivity and reducing energy wastage. IoT has the potential to make our environment more sustainable and help us to reduce pollution all across the globe. But due to limited resources in both these networks, it is very challenging to form a complete secure system. This survey paper examines the various security requirements and attacks possible in WSN and IoT. The paper surveys existing approaches like blockchain, fog/edge computing and machine learning to ensure security of IoT systems. The paper also evaluates the performance of common machine learning algorithms using IoT datasets.

Highlights

  • Wireless Sensor Network (WSN) consist of several sensor devices with sensing, computation, and wireless communication capabilities [1]

  • We discussed about WSN and Internet of Things (IoT) based networks and the various possible attacks and security requirements

  • We explored certain solutions including fog computing, edge computing and machine learning

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Summary

1.Introduction

WSNs consist of several sensor devices with sensing, computation, and wireless communication capabilities [1]. The network is usually composed of numerous wireless sensor nodes and a sink node. These nodes have limited storage and computational capabilities [2]. The idea of IoT was developed in parallel to WSNs. WSNs can be considered as a subset of IoT as the wireless sensor nodes can have internet access capabilities. Since IoTs are used in our day today lives, the security of these networks is of great concern Both WSNs and IoT may be commissioned for mission-critical tasks. In the case of WSNs the sensing devices merely gather and pass the sensed data to other nodes or to the sink node. The various IoT frameworks available for commercial use are Brillo/Weave from Google, ARM Bed from ARM and other partners, Azure IoT Suite from Microsoft, AWS IoT from Amazon, Calvin from Ericsson, HomeKit from Apple, Kura from Eclipse and SmartThings from Samsung

Environmental Monitoring
Home Automation System
Smart Traffic Management System
Smart Health Monitoring System
Smart Agriculture
Early Flood Detection and Avoidance
Smart Supply Chain
Social Life and Entertainment
Technological challenges and possible threats
Security techniques and approaches
Findings
Conclusion
Full Text
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