Advancing Federated Learning Through Novel Mechanism for Privacy Preservation in Healthcare Applications

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 83562 - 83579

Published: Jan. 1, 2023

The landscape of healthcare data collaboration heralds an era profound transformation, underscoring exceptional potential to elevate the quality patient care and expedite advancement medical research. formidable challenge, however, lies in safeguarding sensitive information's privacy security - a monumental task that creates significant obstacles. This paper presents innovative approach designed address these challenges through implementation privacy-preserving federated learning models, effectively pioneering novel path this intricate field Our proposed solution enables institutions collectively train machine models on decentralized data, concurrently preserving confidentiality individual data. During model aggregation phase, mechanism enforces protection by integrating cutting-edge methodologies, including secure multi-party computation differential privacy. To substantiate efficacy solution, we conduct array comprehensive simulations evaluations with concentrated focus accuracy, computational efficiency, preservation. results obtained corroborate our methodology surpasses competing approaches providing superior utility ensuring robust guarantees. encapsulates feasibility serving as compelling testament its practicality effectiveness. Through work, underscore harnessing collective intelligence while maintaining paramount protection, thereby affirming promise new horizon collaborative informatics.

Language: Английский

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Lightweight, Trust-Managing, and Privacy-Preserving Collaborative Intrusion Detection for Internet of Things

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(10), P. 4109 - 4109

Published: May 12, 2024

This research introduces a comprehensive collaborative intrusion detection system (CIDS) framework aimed at bolstering the security of Internet Things (IoT) environments by synergistically integrating lightweight architecture, trust management, and privacy-preserving mechanisms. The proposed hierarchical architecture spans edge, fog, cloud layers, ensuring efficient scalable detection. Trustworthiness is established through incorporation distributed ledger technology (DLT), leveraging blockchain frameworks to enhance reliability transparency communication among IoT devices. Furthermore, adopts federated learning (FL) techniques address privacy concerns, allowing devices collaboratively learn from decentralized data sources while preserving individual privacy. Validation approach conducted using CICIoT2023 dataset, demonstrating its effectiveness in enhancing posture ecosystems. contributes advancement secure resilient infrastructures, addressing imperative need for lightweight, trust-managing, solutions face evolving cybersecurity challenges. According our experiments, model achieved an average accuracy 97.65%, precision recall 100%, F1-score 98.81% when detecting various attacks on systems with heterogeneous networks. compared traditional that uses centralized terms network latency memory consumption. shows can keep private environment.

Language: Английский

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Use of Digital Technology in Improving Quality Education

Advances in logistics, operations, and management science book series, Journal Year: 2023, Volume and Issue: unknown, P. 14 - 26

Published: Dec. 21, 2023

The UN 2030 sustainable development agenda focuses heavily on improving access to high-quality education. This goal can no longer be pursued without relying digital technology. In addition reducing emissions through increasing energy efficiency and environmentally friendly alternatives burning fossil fuels, these methods may used completely remove harmful greenhouse from the air. purpose of technological advances is improve production while waste effects environment. These have had a significant positive impact academic system. Because COVID-19 pandemic, use computers other electronic aids in classroom has increased dramatically. technologies profound educational institutions as whole. present study aims explore significance education, discussing their principal benefits challenges they provide.

Language: Английский

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Insights on the internet of things: past, present, and future directions

TELKOMNIKA (Telecommunication Computing Electronics and Control), Journal Year: 2022, Volume and Issue: 20(6), P. 1399 - 1399

Published: Oct. 10, 2022

The internet of things (IoT) is rapidly expanding and improving operations in a wide range real-world applications, from consumer IoT enterprise to manufacturing industrial (IIoT). Consumer markets, wearable devices, healthcare, smart buildings, agriculture, cities are just few examples. This paper discusses the current state ecosystem, its primary applications benefits, important architectural stages, some problems challenges it faces, future. explains how an appropriate architecture that saves data, analyzes it, recommends corrective action improves process's ground reality. system divided into three layers: device, gateway, platform. then cascades four stages layout: sensors actuators; gateways data acquisition systems; edge IT processing; datacenter cloud, which use high-end apps collect evaluate process provide remedial solutions. elegant combination provides excellent value automatic action. In future, will continue serve as foundation for many technologies. Machine learning become more popular coming years networks take center stage variety industries.

Language: Английский

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A Trust-Based Secure Parking Allocation for IoT-Enabled Sustainable Smart Cities

Sustainability, Journal Year: 2023, Volume and Issue: 15(8), P. 6916 - 6916

Published: April 20, 2023

Smart parking is a crucial component of smart cities that aims to enhance the efficiency and sustainability urban environments. It employs technology such as sensors IoT devices optimize use resources improve drivers’ experiences. By reducing traffic congestion, decreasing air pollution, enhancing accessibility, systems can contribute overall well-being areas. IoT-enabled refers application in cities. However, security privacy challenges pose risks concerns related collection data by systems, unauthorized access or misuse data, potential breaches, need ensure responsible usage maintain user trust confidence. To address these challenges, we propose novel hybrid approach management using machine learning algorithms system. Our consists SVM ANNs, taking into account credibility, availability, honesty key parameters. Furthermore, ensemble select best-predicted model from different trained models, leading efficient performance trustworthy environment. results show proposed classifier with parameters achieved an accuracy 96.43% predicting eliminating malicious compromised nodes.

Language: Английский

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Ensuring Trustworthy and Secure IoT: Fundamentals, Threats, Solutions, and Future Hotspots

Computer Networks, Journal Year: 2025, Volume and Issue: unknown, P. 111218 - 111218

Published: March 1, 2025

Language: Английский

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A Novel Deep Learning Approach for Real-Time Critical Assessment in Smart Urban Infrastructure Systems

Electronics, Journal Year: 2024, Volume and Issue: 13(16), P. 3286 - 3286

Published: Aug. 19, 2024

The swift advancement of communication and information technologies has transformed urban infrastructures into smart cities. Traditional assessment methods face challenges in capturing the complex interdependencies temporal dynamics inherent these systems, risking resilience. This study aims to enhance criticality geographic zones within cities by introducing a novel deep learning architecture. Utilizing Convolutional Neural Networks (CNNs) for spatial feature extraction Long Short-Term Memory (LSTM) networks dependency modeling, proposed framework processes inputs such as total electricity use, flooding levels, population, poverty rates, energy consumption. CNN component constructs hierarchical maps through successive convolution pooling operations, while LSTM captures sequence-based patterns. Fully connected layers integrate features generate final predictions. Implemented Python using TensorFlow Keras on an Intel Core i7 system with 32 GB RAM NVIDIA GTX 1080 Ti GPU, model demonstrated superior performance. It achieved mean absolute error 0.042, root square 0.067, R-squared value 0.935, outperforming existing methodologies real-time adaptability resource efficiency.

Language: Английский

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Swarmtrust: A swarm optimization-based approach to enhance trustworthiness in smart homes

Physical Communication, Journal Year: 2023, Volume and Issue: 58, P. 102064 - 102064

Published: March 31, 2023

Language: Английский

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Trust Management in Social Internet of Things: Challenges and Future Directions

International Journal of Computing and Digital Systems, Journal Year: 2023, Volume and Issue: 14(1), P. 899 - 920

Published: Sept. 1, 2023

IoT is expanded by leveraging social networking ideas to build a network of interlinked smart devices called Social Objects (SO), and the resulting Internet Things (SIoT).These SOs have features that allow them find other in their environment establish interactions with them.Trust Management Systems (TMS) comprehends how data supplied communicating parties must be processed based on object's behavior order reliable autonomous communications.The literature TMS SIoT limited, existing paper's review issues, challenges, future directions not complete.This paper first presents trust management concepts SIoT.Second, for proposed papers throughout previous seven years (2017-2023) are categorized as process-based TMS, context-based blockchain-based edge-based TMS.These models analyzed terms features, aggregation techniques, update mechanisms, propagation strategies, evaluation tools, performance metrics.The percentage effort exhibited various solving issues are: residual energy node (14%) scalability (19%) given less emphasis, while most focused resiliency against BMA (81%) BSA (71%).Third, discusses research challenges investigated survey help researchers develop robust, adaptable resilient TMS.

Language: Английский

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A Systematic Study on Implementation of Smart Devices for Sustainable Environment

World sustainability series, Journal Year: 2024, Volume and Issue: unknown, P. 189 - 213

Published: Jan. 1, 2024

Language: Английский

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