Green IoT

Goel, Abhishek; Gautam, Siddharth

doi:10.1002/9781119792826.ch11

Cited by 4 publications

(1 citation statement)

References 26 publications

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“…Today, Internet of Things (IoT) has been acquiring a tremendous attractiveness in communication world particularly with the mounting evolution of smart networks [1][2][3][4][5]. An enormous number of sectors for instance the military, healthcare, intelligent buildings, farming have been witnessing detection and assembling various physical data [6][7][8]. In this regard, wireless sensor networks (WSNs) are considered the backbones of IoT expansion, and they are comprised of a countless number of intelligent sensors that interrelate with the IoT in order to observe and collect data [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Addressing the Vulnerability of Data Routing in IoT Network based on Optimization Techniques and Advanced Blow Fish Encryption

2024

IJSER

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This study focuses on evaluating the data routing protocol in the Internet of Things (IoT). The evaluation is conducted using the Whale Optimization Algorithm (WOA), enhanced by the advanced Blowfish encryption algorithm. In this study, Cipher Block Chaining (CBC) is employed to improve the typical Blowfish technique. Furthermore, several key factors, including the rate of energy consumption, trust, distance, and delay, are considered to ensure the effectiveness of data routing. To demonstrate the feasibility of the proposed approach, four other schemes are utilized in a comparative study. These schemes are particle swarm optimization (PSO), secure routing protocol ( SARP),Genetic algorithm (GA), QoS-based Cross Multi-sink Routing protocol (QCM2R). The results clearly demonstrate the feasibility of the proposed approach when compared to the aforementioned schemes, with the lowest energy consumption, distance, and delay recorded as 0.44325 Joule, 0.43257 meters, and 1.35 x 10 -9 seconds, respectively. Additionally, the trust level is the highest at 0.71255, and the throughput reaches its peak at 2.30 Megabytes/ms when the data size is 7 KB. In terms of security dimension, the proposed improved Blowfish encryption technique is compared with Advanced Encryption Standard (AES), Rivest-Shamir-Adleman (RSA) and typical Blow fish algorithm (BFA) encryption techniques to assess its security robustness against Chosen-Ciphertext Attack (CCA) and Chosen-Plaintext Attack (CPA) with varying the size of data bits from 5KB, 7 KB and 10KB. The obtained results show that the proposed improved blow fish approach outperforms three aforementioned schemes with the smallest similarity between unique text and hacked text under CCA and CPA. Furthermore, the least time of decryption occurs with the proposed approach compared to other three schemes.

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