A Lightweight Genetic Based Algorithm for Data Security in Wireless Body Area Networks

Jabeen, Tallat; Ashraf, Humaira; Khatoon, Asma; Band, Shahab S.; Mosavi, Amir

doi:10.1109/access.2020.3028686

Cited by 31 publications

(13 citation statements)

References 30 publications

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“…ough the privacy of the user is preserved in this work, it lacks the confidentiality of the information transferred. Jabeen et al [21] proposed a scheme for the protection of data based on a genetic algorithm. But the complexity of the algorithm leads to an increase in the computational cost analysis.…”

Section: Related Workmentioning

confidence: 99%

An Anonymous Blockchain-Based Authentication Scheme for Secure Healthcare Applications

Rajasekaran¹,

Azees²

2022

Security and Communication Networks

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Nowadays, continuous monitoring of a patient’s healthcare data has become a critical factor in human well-being. However, with the rapid advancement of wireless technology, doctors and healthcare professionals can monitor the patient’s healthcare data in real time. But to access the confidential patient’s data which is transferred through the open wireless medium, the secure transmission plays an important role. In this work, the privacy and the anonymity of the end-users (patient/doctor) are preserved using an anonymous blockchain-based authentication scheme. Moreover, in this work initially, mutual authentication is performed between the end-users, followed by encryption and decryption of confidential data. In addition, to avoid reauthentication of the patient again during the movement of a patient from one doctor to another, a transfer authentication protocol is performed between the doctors which enhances performance analysis. The security analysis section illustrates the withstanding capability of the proposed work against various vulnerable attacks. Finally, performance investigation of the proposed work reveals a reduction in computational and communication costs when compared to existing related works.

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Section: Related Workmentioning

confidence: 99%

An Anonymous Blockchain-Based Authentication Scheme for Secure Healthcare Applications

Rajasekaran¹,

Azees²

2022

Security and Communication Networks

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“…The concept of water rendering ECG-based signal tempering was proposed by Kaur et al [17]. Jabeen et al [18] proposed a genetic-based encryption algorithm for data security with an efficient and lightweight MQTT protocol in WBAN. Reference [19] provides better survey for multiple safety schemes to present comparison analysis and security parameters.…”

Section: Literature Surveymentioning

confidence: 99%

A Monte Carlo Based COVID-19 Detection Framework for Smart Healthcare

Jabeen¹,

Jabeen²,

Ashraf³

et al. 2022

Computers, Materials &Amp; Continua

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COVID-19 is a novel coronavirus disease that has been declared as a global pandemic in 2019. It affects the whole world through personto-person communication. This virus spreads by the droplets of coughs and sneezing, which are quickly falling over the surface. Therefore, anyone can get easily affected by breathing in the vicinity of the COVID-19 patient. Currently, vaccine for the disease is under clinical investigation in different pharmaceutical companies. Until now, multiple medical companies have delivered health monitoring kits. However, a wireless body area network (WBAN) is a healthcare system that consists of nano sensors used to detect the real-time health condition of the patient. The proposed approach delineates is to fill a gap between recent technology trends and healthcare structure. If COVID-19 affected patient is monitored through WBAN sensors and network, a physician or a doctor can guide the patient at the right time with the correct possible decision. This scenario helps the community to maintain social distancing and avoids an unpleasant environment for hospitalized patients Herein, a Monte Carlo algorithm guided protocol is developed to probe a secured cipher output. Security cipher helps to avoid wireless network issues like packet loss, network attacks, network interference, and routing problems. Monte Carlo based covid-19 detection technique gives 90% better results in terms of time complexity, performance, and efficiency. Results indicate that Monte Carlo based covid-19 detection technique with edge computing idea is robust in terms of time complexity, performance, and efficiency and thus, is advocated as a significant application for lessening hospital expenses.

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“…(11) Ensure that only one picking stations is responsible for each task; (12) represents the constraint of the starting time of continuous tasks before and after a single picking platform; (13) and (14) indicate that the election platform can only execute one task at most before and after each task, to ensure the relationship between tasks before and after the election platform. (15) represents the constraint between the time when AGV starts to execute the task and the time when the picking station starts to execute the task under the same task; (16) represents the relationship between the time when the picking stage begins to execute the task under the same task and the time when the AGVs end the task; (17) shows the value range of the variable.…”

Section: B Equipment-task Scheduling Modelmentioning

confidence: 99%

“…Scheduling problems are considered as NP-hard problems [16]. Scheduling problems are often solved by intelligent algorithms, a genetic algorithm is widely used in NP-hard problems [17][18][19]. Ronghua Chen [20] proposed a self-learning genetic algorithm based on GA is proposed to solve the jobshop scheduling problem.…”

Section: Introductionmentioning

confidence: 99%

Research on Equipment Configuration Optimization of AGV Unmanned Warehouse

et al. 2021

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To improve the throughput performance of the autonomous guide vehicle (AGV) unmanned storage system, a two-stage mathematical model was established. The model also considers the equipment configuration of the AGV unmanned storage system and the AGV-picking stations dual resource coordination scheduling problem. In the equipment-task scheduling phase, the model aims at the shortest order completion time, while the equipment configuration and layout model aims at the minimum equipment configuration and operating cost. To solve the two-stage model, a two-layer genetic algorithm was designed. The inner layer algorithm was used to optimize the task scheduling order of AGVs and picking stations. The results of the inner layer algorithm are fed back to the outer model to optimize configuration of the equipment and the picking station's layout. The inner and outer loops are combined to obtain the optimal equipment configuration scheme. Through the simulation study of an enterprise AGV unmanned storage case, the optimal equipment configuration combination and picking stations layout scheme are obtained. Compared with the equipment configuration scheme based on the principle the task scheduling in operation is another key link that affects the picking efficiency of an unmanned warehouse of random task scheduling and the principle of shortest job time first; The model can improve the efficiency of warehouse retrieval and minimize the number of equipment configurations. Finally, the improved genetic algorithm is used to solve the model, and the performance is compared with that of LINGO to verify the effectiveness of the improved algorithm.

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A Lightweight Genetic Based Algorithm for Data Security in Wireless Body Area Networks

Cited by 31 publications

References 30 publications

An Anonymous Blockchain-Based Authentication Scheme for Secure Healthcare Applications

An Anonymous Blockchain-Based Authentication Scheme for Secure Healthcare Applications

A Monte Carlo Based COVID-19 Detection Framework for Smart Healthcare

Research on Equipment Configuration Optimization of AGV Unmanned Warehouse

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