A hybrid algorithm to enhance wireless sensor networks security in the Internet of Things.
Mahlake, Ntebatseng
Mahlake, Ntebatseng
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Abstract
The Internet of Things (IoT) is an anticipated future technology that promises to connect a massive number of devices over the internet. Wireless Sensor Networks (WSNs) is being regarded as one of the most essential subnetworks of the IoT. Sensor networks are being utilized by IoT to gather, monitor, and send sensitive data across wireless networks. The information transferred through WSNs is easily exposed to cyberattacks hence, data security is critical. In WSNs, the attacker’s adverse aims are to hinder and halt the network’s effective use, as well as to interrupt network services, rendering them unreachable to the users or providing the users with false feedback. Because the users do not have control over their data transmitted on the wireless medium or stored in the middleware, anyone with internet access can access the stored and transmitted data. This puts data confidentiality, authenticity, and integrity at risk: users with unauthorized access can easily access, alter, and manipulate data in transit. The devices in the IoT architecture have limitations, such as memory constraint, low power, and computational capabilities that affect the enhancement of the WSNs’ security in the IoT. Due to their energy consumption, complexity, and the need for several rounds to encrypt, traditional encryption algorithms are computationally costly. This study proposed a Lightweight Security Algorithm (LSA) by assimilating the Security Protocol for Sensor Networks (SPINS) and Secure IoT (SIT) encryption technique in order to improve WSNs’ data security; this while minimizing the number of attacks and power consumption in WSNs, without impacting network performance. The proposed LSA was designed in order to protect WSNs by fulfilling security primitives such as data authentication, secrecy, and data integrity. The proposed LSA provided substantial security with moderate computational complexity and power consumption with just five rounds during the simulation process. In addition, the proposed hybrid algorithm prevented data misuse and theft while reducing unauthorized access to the network. Furthermore, the proposed LSA reduced the key generation time by 102mS; thus it improved security by 99%. During data transmission, the power consumption dropped by an average of 411.2uJ, and the Packet Drop Ratio (PDR) was between 90% and 99% when compared with SPN and Feistel techniques.
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Date
2022-08-01
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Tshwane University of Technology
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Keywords
Computationally costly., encryption., encryption., IoT., security., WSNs.