Security and energy efficient cyber-physical systems using predictive modeling approaches in wireless sensor network

Al-Ghamdi, Abdullah Ahmed; Shahrani, Ali M. Al; Alyami, Sultan; Khan, Ihtiram Raza; Sri, P. S. G. Aruna; Dutta, Papiya; Rizwan, Ali; Venkatareddy, Prashanth

doi:10.1007/s11276-023-03345-1

Cited by 3 publications

(3 citation statements)

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“…This is a significant advance over manual operations and rudimentary network management. Considering e-commerce platforms during design, Internet trade WSNs can manage substantial data quantities due to their processing power and rapid response times [7,9]. However, e-commerce retailers that utilize these networks find that their networks will often face sudden surges in data traffic, whether expected during peak holiday seasons such as Christmas or unexpected due to unforeseeable events.…”

Section: Discussionmentioning

confidence: 99%

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AI-Based Decision Support System Optimizing Wireless Sensor Networks for Consumer Electronics in E-Commerce

Basingab,

Bukhari,

Serbaya

et al. 2024

Applied Sciences

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The purpose of this study is to investigate the potential of AI technology in developing a decision support system that can improve the effectiveness of wireless sensor networks (WSNs) in e-commerce, specifically in enhancing the features of consumer electronics. This research project is focused on optimizing wireless sensor networks for e-commerce consumer electronics by incorporating AI-based decision support systems. The primary objective of this study is to enhance energy efficiency and performance in online shopping platforms. Various algorithms and methodologies are proposed and assessed, including Adaptive Clustering, the Path Selection Algorithm, Fuzzy Logic-Controlled Energy Management, the Genetic Algorithm for Resource Allocation, and Deep Sleep Scheduling. These techniques improve network efficiency and reduce power consumption in e-commerce applications. The study demonstrates that integrating AI in consumer electronics can result in a remarkable 40% increase in energy efficiency. Comparative analyses conducted through simulations and real-world assessments indicate that the proposed methodology outperforms traditional techniques by 35%. This research underscores the vital role of AI in enhancing network performance and energy efficiency in e-commerce. The results suggest that implementing AI-driven strategies in wireless sensor networks for consumer electronics can significantly improve online shopping experiences. AI-based decision support systems can optimize wireless sensor networks for consumer electronics, improving energy efficiency and network performance on online shopping platforms.

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Section: Discussionmentioning

confidence: 99%

“…Online stores rely on Wireless sensor networks to collect and distribute data over a wireless connection, which is essential for processing orders. Wireless sensor networks networks have been negatively affected by an inability to balance these two conflicting goals [9].…”

Section: Introductionmentioning

confidence: 99%

AI-Based Decision Support System Optimizing Wireless Sensor Networks for Consumer Electronics in E-Commerce

Basingab,

Bukhari,

Serbaya

et al. 2024

Applied Sciences

Self Cite

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“…Therefore, experts are working to provide services remotely, particularly for elderly people (Pal et al, 2018). To overcome aforesaid challenges, a based IoT environment for remote healthcare monitoring (Mondal et al, 2023: Jain et al, 2023 using wireless sensor networks (WSNs) (Alghamdi et al, 2023) is one of the eminent solutions for helping older people independently manage good health and safely age in place. It is regarded as a novel paradigm within the realm of the Internet of Things (IoT), facilitated by the proliferation of Machineto-Machine communication, Wireless Sensor Networks, ubiquitous computing technology, Radio Frequency Identification (RFID), network communication infrastructure and evolving control methodologies (Rai et al, 2023;Dawn et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

A Secure Biometric-Based User Authentication Scheme for Cyber-Physical Systems in Healthcare

Jha,

Jain,

Srivastava

2024

IJERR

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The effectiveness and advantages of Cyber-Physical Systems (CPS) are significantly influenced by the interconnectivity of individual devices or nodes, such as Internet of Things (IoT) devices. The exchange of data that is pertinent to a comprehensive job or capability plays a crucial role in numerous CPS applications, including healthcare monitoring in smart cities and homes and many more. Data exploitation in remote healthcare systems may have catastrophic consequences for patients; hence, a safe cryptographic technique is necessary. To address these security difficulties, a highly effective biometric based three-factor mutual authentication along with a key agreement scheme has been put forth that leverages the lightweight Elliptic Curve Cryptosystem (ECC). This scheme has been specifically designed to cater to the unique requirements of remote healthcare systems. The approach has been validated utilizing the Burrows-Abadi-Needham (BAN) logic, which verifies the effectiveness of mutual authentication. Also, the resistance to active and passive attacks was demonstrated through the use of the Automated Validation of Internet Security Protocols and Applications (AVISPA) tool. Furthermore, a preliminary security evaluation is conducted to verify the resilience of the proposed system against several cryptographic attacks. Additionally, the suggested method is evaluated against existing state-of-the-art schemes and demonstrates superior performance in various security dimensions.

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Improved DV-Hop based on parallel compact Willow Catkin Optimization algorithm for 3D nodes localization in WSN

Wang,

Hu,

Geng

et al. 2024

Wireless Netw

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Security and energy efficient cyber-physical systems using predictive modeling approaches in wireless sensor network

Cited by 3 publications

References 25 publications

AI-Based Decision Support System Optimizing Wireless Sensor Networks for Consumer Electronics in E-Commerce

AI-Based Decision Support System Optimizing Wireless Sensor Networks for Consumer Electronics in E-Commerce

A Secure Biometric-Based User Authentication Scheme for Cyber-Physical Systems in Healthcare

Improved DV-Hop based on parallel compact Willow Catkin Optimization algorithm for 3D nodes localization in WSN

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