Towards Green Computing Oriented Security: A Lightweight Postquantum Signature for IoE

Rani, Rinki; Kumar, Sushil; Kaiwartya, Omprakash; Khasawneh, Ahmad M.; Lloret, Jaime; Al‐Khasawneh, Mahmoud Ahmad; Mahmoud, Marwan; Alarood, Ala Abdulsalam

doi:10.3390/s21051883

Cited by 19 publications

(9 citation statements)

References 36 publications

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“…An experimental simulation was proposed by Rani et al 24 utilizing lightweight post‐quantum ID‐based signature (LPQS) 24 technique to provide secure communication in IoE. Authors primarily focused on incorporating quantum‐resistant supersingular isogeny curves aiming to reduce the key size, aiming to achieve green computing security.…”

Section: Literature Surveymentioning

confidence: 99%

Reliable data communication using post‐quantum encryption in Internet of Everything

Balaji

Dhurandher

2022

Int J Communication

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Summary Internet of Everything (IoE) is one of the emerging technologies in the advancement of digital life and innovation. But the major issue that is to be addressed is the security concerns over such an environment, especially in end‐to‐end device communication. The proposed approach primarily focuses on reliable end‐to‐end device communication using post‐quantum location‐aware encryption, aiming to achieve confidentiality and integrity in an Internet of Everything environment. Even though the post‐quantum techniques have shown to be one of the evolving solutions for reliable data communication, but its robustness against the Man‐In‐The‐Middle and Sybil attacks is still a wide‐open subject and undiscovered. Numerous traditional encryption algorithms are now in use, while post‐quantum encryption is being studied and considered as a quantum‐safe substitute. The proposed approach also demonstrates a robust attack model which focuses on communication network threats like namely, Man‐In‐The‐Middle and Sybil attacks intending to evaluate the overall performance of the network by analyzing the performance parameters like, number of nodes in the network, message size, execution time, and memory consumption by the nodes and aiming to achieve an appreciable accuracy in an IoE environment.

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Section: Literature Surveymentioning

confidence: 99%

Reliable data communication using post‐quantum encryption in Internet of Everything

Balaji

Dhurandher

2022

Int J Communication

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“…Wireless sensor networks (WSNs) are prominently used for the collection of data and communication over the fifth generation (5G) and beyond 5G IoT network envision as sixth generation (6G) technology [ 2 ]. Moreover, the combination of IoT networks with WSNs has many potentials in various applications, such as precision agriculture, intelligent transport systems, health care, smart cities, military, environment and habitat monitoring, environment anomalies and human intrusion detection [ 3 , 4 ]. However, with all these remarkable properties, the fallout in the unbalanced energy consumption and lower lifetime of battery-enabled IoT devices limits the seamless communication of intelligent devices over the IoT network.…”

Section: Introductionmentioning

confidence: 99%

“…Clustering is a robust and scalable approach to lower energy consumption with better network throughput [ 4 , 5 ]. It is widely studied as probability-based [ 6 , 7 , 8 , 9 ], weight-based [ 10 , 11 , 12 ] and heuristic-based approaches [ 13 , 14 , 15 , 16 , 17 , 18 ] for conservation of network energy.…”

Section: Introductionmentioning

confidence: 99%

Green Communication in Internet of Things: A Hybrid Bio-Inspired Intelligent Approach

Kumar

Kashyap

et al. 2022

Sensors

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Clustering is a promising technique for optimizing energy consumption in sensor-enabled Internet of Things (IoT) networks. Uneven distribution of cluster heads (CHs) across the network, repeatedly choosing the same IoT nodes as CHs and identifying cluster heads in the communication range of other CHs are the major problems leading to higher energy consumption in IoT networks. In this paper, using fuzzy logic, bio-inspired chicken swarm optimization (CSO) and a genetic algorithm, an optimal cluster formation is presented as a Hybrid Intelligent Optimization Algorithm (HIOA) to minimize overall energy consumption in an IoT network. In HIOA, the key idea for formation of IoT nodes as clusters depends on finding chromosomes having a minimum value fitness function with relevant network parameters. The fitness function includes minimization of inter- and intra-cluster distance to reduce the interface and minimum energy consumption over communication per round. The hierarchical order classification of CSO utilizes the crossover and mutation operation of the genetic approach to increase the population diversity that ultimately solves the uneven distribution of CHs and turnout to be balanced network load. The proposed HIOA algorithm is simulated over MATLAB2019A and its performance over CSO parameters is analyzed, and it is found that the best fitness value of the proposed algorithm HIOA is obtained though setting up the parameters, number of rooster, number of hen’s and swarm updating frequency. Further, comparative results proved that HIOA is more effective than traditional bio-inspired algorithms in terms of node death percentage, average residual energy and network lifetime by 12%, 19% and 23%.

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“…Unmanned aerial vehicles’ (UAV) design and development, focusing on next-generation use cases, is one of the growing research themes for smart city environments [ 1 , 2 ]. The smart-service-centric UAV domain includes aerial delivery, smart healthcare, smart home, Internet of vehicles, design simulation, pollution monitoring, smart agriculture, disaster management, industrial Internet of things, and green mobility [ 3 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

Quality-of-Service-Centric Design and Analysis of Unmanned Aerial Vehicles

Jha

Prakash

Rathore

et al. 2022

Sensors

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Recent years have witnessed rapid development and great indignation burgeoning in the unmanned aerial vehicles (UAV) field. This growth of UAV-related research contributes to several challenges, including inter-communication from vehicle to vehicle, transportation coverage, network information gathering, network interworking effectiveness, etc. Due to ease of usage, UAVs have found novel applications in various areas such as agriculture, defence, security, medicine, and observation for traffic-monitoring applications. This paper presents an innovative drone system by designing and developing a blended-wing-body (BWB)-based configuration for next-generation drone use cases. The proposed method has several benefits, including a very low interference drag, evenly distributed load inside the body, and less radar signature compared to the state-of-the-art configurations. During the entire procedure, a standard design approach was followed to optimise the BWB framework for next-generation use cases by considering the typically associated parameters such as vertical take-off and landing and drag and stability of the BWB. Extensive simulation experiments were performed to carry out a performance analysis of the proposed model in a software-based environment. To further confirm that the model design of the BWB-UAV is fit to execute the targeted missions, the real-time working environments were tested through advanced numerical simulation and focused on avoiding cost and unwanted wastages. To enhance the trustworthiness of this said computational fluid dynamics (CFD) analysis, grid convergence test-based validation was also conducted. Two different grid convergence tests were conducted on the induced velocity of the Version I UAV and equivalent stress of the Version II UAV. Finite element analysis-based computations were involved in estimating structural outcomes. Finally, the mesh quality was obtained as 0.984 out of 1. The proposed model is very cost-effective for performing a different kind of manoeuvring activities with the help of its unique design at reasonable mobility speed and hence can be modelled for high-speed-based complex next-generation use cases.

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Towards Green Computing Oriented Security: A Lightweight Postquantum Signature for IoE

Cited by 19 publications

References 36 publications

Reliable data communication using post‐quantum encryption in Internet of Everything

Reliable data communication using post‐quantum encryption in Internet of Everything

Green Communication in Internet of Things: A Hybrid Bio-Inspired Intelligent Approach

Quality-of-Service-Centric Design and Analysis of Unmanned Aerial Vehicles

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