Improved Blowfish Algorithm-Based Secure Routing Technique in IoT-Based WSN

Alotaibi, Majid

doi:10.1109/access.2021.3130005

Cited by 24 publications

(8 citation statements)

References 45 publications

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“…In recent years, various techniques and algorithms have been developed to enhance data security which include Blowfish, a symmetric encryption algorithm with a 64-bit key where the use of this algorithm in IoT applications during the transmission of data over the internet has an advantage as it protects the encrypted data transmitted over the internet by using XOR operation [4]. A method was used to translate images and text data which is used for security analysis which was conducted as an avalanche effect and correlation coefficient test which meets the required properties of block cipher text condition for security analysis [5].…”

Section: Related Literaturementioning

confidence: 99%

WITHDRAWN: Implementation of Encryption Algorithms in Classical and Quantum Computing: A comparative Analysis

Akshay,

Narayanan,

et al. 2024

Preprint

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In the overall context of enhanced application of quantum computing into multitude of areas, the paper explores and implements classical encryption algorithms both in traditional and quantum computing environments. Towards this, the classical encryption algorithms such as Blowfish, RSA and ECC are executed in both classical and quantum environments. The result shows that the key generated in the classical hardware is limited to 64-bit as envisaged; the quantum key is generated found to be complex as the instruction set changes from classical instruction set to quantum instruction set. Further, the additional factor of randomness in quantum computing increases the security of the cipher text, which is transmitted over the internet, showing insights for practical applications.

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Section: Related Literaturementioning

confidence: 99%

WITHDRAWN: Implementation of Encryption Algorithms in Classical and Quantum Computing: A comparative Analysis

Akshay,

Narayanan,

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Many different strategies are being utilized by computing professionals in order to advance the field of research in IoT technology [ 52 , 53 , 54 , 55 , 56 ]. In particular, machine learning and artificial intelligence have played key roles in advancing this emerging field of computer science and will continue to do so in new and exciting ways [ 57 ].…”

Section: Introductionmentioning

confidence: 99%

Unleashing the Power of IoT: A Comprehensive Review of IoT Applications and Future Prospects in Healthcare, Agriculture, Smart Homes, Smart Cities, and Industry 4.0

Chataut,

Phoummalayvane,

Akl

2023

Sensors

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The Internet of Things (IoT) technology and devices represent an exciting field in computer science that is rapidly emerging worldwide. The demand for automation and efficiency has also been a contributing factor to the advancements in this technology. The proliferation of IoT devices coincides with advancements in wireless networking technologies, driven by the enhanced connectivity of the internet. Today, nearly any everyday object can be connected to the network, reflecting the growing demand for automation and efficiency. This paper reviews the emergence of IoT devices, analyzed their common applications, and explored the future prospects in this promising field of computer science. The examined applications encompass healthcare, agriculture, and smart cities. Although IoT technology exhibits similar deployment trends, this paper will explore different fields to discern the subtle nuances that exist among them. To comprehend the future of IoT, it is essential to comprehend the driving forces behind its advancements in various industries. By gaining a better understanding of the emergence of IoT devices, readers will develop insights into the factors that have propelled their growth and the conditions that led to technological advancements. Given the rapid pace at which IoT technology is advancing, this paper provides researchers with a deeper understanding of the factors that have brought us to this point and the ongoing efforts that are actively shaping the future of IoT. By offering a comprehensive analysis of the current landscape and potential future developments, this paper serves as a valuable resource to researchers seeking to contribute to and navigate the ever-evolving IoT ecosystem.

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“…The proposed SHECC's performance is evaluated by comparing its encryption and computational times to some baseline algorithms. IRSA, 51 AES KDSB, 52 IBFA, 53 and AES 54 are the techniques used for comparison. The previously proposed IRSA is unsuitable for environments with limited resources, and the model performance is poor when considering more nodes.…”

Section: Resultsmentioning

confidence: 99%

“…The model was efficient in terms of delay, throughput, trustworthiness, false positive, delivery rate, and detection rate. Alotaibi 53 exemplified a secure routing model by selecting an optimal path with a cryptographic approach. Initially, the approach chosen optimal paths for performing transmission securely using the crossover mutated marriage in honey bee (CM‐MH) algorithm.…”

Section: Literature Reviewmentioning

confidence: 99%

Quality of Service aware secure data transmission model for Internet of Things assisted wireless sensor networks

Velmurugadass

Dhanasekaran

Anand

et al. 2022

Trans Emerging Tel Tech

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Wireless sensor networks (WSNs) are the most critical networks in developing various Internet of Things (IoT) based applications. However, such intelligent devices have drawbacks for energy, memory, processing, and computation resources. In addition, achieving Quality of Service (QoS) with secure data transmission (DT) is a significant challenge for WSNs. This article proposes efficient IoT authentication and energy-aware safe DT models for achieving better QoS and security with lower energy consumption (EC) in WSNs. Initially, the network randomly deploys the sensor nodes (SNs) and performs the registration of the SNs with the base station (BS). Second, the Entropy-based Jaccard similarity induced fuzzy C-means clustering (EJS-FCM) model clusters the SNs based on the intrinsic qualities of nodes. Then the boosted grasshopper optimization algorithm (BGOA) selects the cluster heads (CHs) optimally by considering major fitness parameters such as communication distance, energy, and distance centroid. Following that, an Adler-32 hashing-based authentication scheme performs authentication of every IoT node deployed in the network to provide safer DT. After successful authentication, secure hash elliptical curve cryptography (SHECC) encrypts the data collected from the CHs by incorporating a hashing function both in encryption and decryption, enhancing the IoT data's security level. Finally, in a cloud server (CS), the decentralized blockchain (BC) stores the encrypted data and the authentication credentials of the IoT devices from the BS, which provide additional security to the network. The results of the presented model show its performance efficiency over existing approaches for energy efficiency (EE), QoS, and security.

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Improved Blowfish Algorithm-Based Secure Routing Technique in IoT-Based WSN

Cited by 24 publications

References 45 publications

WITHDRAWN: Implementation of Encryption Algorithms in Classical and Quantum Computing: A comparative Analysis

WITHDRAWN: Implementation of Encryption Algorithms in Classical and Quantum Computing: A comparative Analysis

Unleashing the Power of IoT: A Comprehensive Review of IoT Applications and Future Prospects in Healthcare, Agriculture, Smart Homes, Smart Cities, and Industry 4.0

Quality of Service aware secure data transmission model for Internet of Things assisted wireless sensor networks

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