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VPFL:A verifiable privacy-preserving federated learning scheme for edge computing systems

Digital Communications and Networks 2023年第4期9卷 981-989页

作者： Jiale Zhang Yue Liu Di Wu Shuai Lou Bing Chen Shui Yu School of Information Engineering Yangzhou UniversityYangzhou225009China Water Conservancy and Civil Engineering College Inner Mongolia Agricultural UniversityHohhot010018China Deakin Blockchain Innovation Lab School of Information TechnologyDeakin UniversityMelbourneVIC3125Australia College of Computer Science and Technology Nanjing University of Aeronautics and AstronauticsNanjing211106China School of Computer Science University of Technology SydneySydney2007Australia

Federated learning for edge computing is a promising solution in the data booming era,which leverages the computation ability of each edge device to train local models and only shares the model gradients to the central ***,the frequently transmitted local gradients could also leak the participants’private *** protect the privacy of local training data,lots of cryptographic-based Privacy-Preserving Federated Learning(PPFL)schemes have been ***,due to the constrained resource nature of mobile devices and complex cryptographic operations,traditional PPFL schemes fail to provide efficient data confidentiality and lightweight integrity verification *** tackle this problem,we propose a Verifiable Privacypreserving Federated Learning scheme(VPFL)for edge computing systems to prevent local gradients from leaking over the transmission ***,we combine the Distributed Selective Stochastic Gradient Descent(DSSGD)method with Paillier homomorphic cryptosystem to achieve the distributed encryption functionality,so as to reduce the computation cost of the complex ***,we further present an online/offline signature method to realize the lightweight gradients integrity verification,where the offline part can be securely outsourced to the edge *** security analysis demonstrates the proposed VPFL can achieve data confidentiality,authentication,and *** last,we evaluate both communication overhead and computation cost of the proposed VPFL scheme,the experimental results have shown VPFL has low computation costs and communication overheads while maintaining high training accuracy.

关键词： Federated learning Edge computing Privacy-preserving Verifiable aggregation Homomorphic cryptosystem

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Microservice-Based Fog Testbed for 6G Applications 26

Microservice-Based Fog Testbed for 6G Applications

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26th International Conference on Advanced Communications Technology, ICACT 2024

作者： Kuzmina, Ekaterina Tefikova, Meriem Volkov, Artem Muthanna, Ammar Ateya, Abdelhamied A. Koucheryavy, Andrey Saint-Petersburg State University of Telecommunications Department of Telecommunication Networks and Data Transmission Saint Petersburg Russia Zagazig University Department of Electronics and Communications Engineering Zagazig44519 Egypt College of Computer and Information Sciences Prince Sultan University Eias Data Science Lab Riyadh11586 Saudi Arabia

ISBN: (纸本)9791188428120

This paper provides a real-time fog computing model based on a microservice architecture that enables testing and modeling of eventual implementations of ultra-reliable low-latency communications (uRLLC) services. The work provides fog-based architecture for sixth-generation cellular (6G) applications, including telepresence and uRLLC. A testbed of a robot swarm was developed to prototype the proposed network architecture. Computing tasks are offloaded and handled based on a proposed microservice scheme introduced to meet the 6G requirements. Furthermore, we developed a novel migration scheme for the proposed architecture to support the mobility of end devices. The optimum server for migrating computing tasks is allocated by solving a proposed optimization problem using particle swarm optimization (PSO). All proposed algorithms were implemented in the developed prototype. The proposed work is introduced to provide an architectural foundation for testing fog-based 6G applications and services and to implement and test novel network methods in the future. © 2024 Global IT Research Institute - GIRI.

关键词： Fog

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Content Based Email Spam Filtering and Detection using Hybrid Supervised Learning Approach

Content Based Email Spam Filtering and Detection using Hybri...

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World Congress on Computing and Communication Technologies (WCCCT)

作者： Najam U Saquib Waqar Khalid Sahibzadi Annum Shaheen Muhammad Asim Naveed Ahmad Department of Computer Science Abasyn University Islamabad Pakistan Department of Computer Science Institute of Management Sciences Peshawar Pakistan Department of Computer Science Capital University of Science & Technology Islamabad Pakistan EIAS Data Science and BlockChain Lab College of Computer and Information Science Prince Sultan University Riyadh Saudi Arabia College of Computer and Information Science Prince Sultan University Riyadh Saudi Arabia

ISBN: (数字)9798350372328

ISBN: (纸本)9798350372335

In today’s world, email is used widely for communication purposes globally. Email spam are unwanted emails that are sent to many recipients receivers. It is usually used for commercial purposes More likely spam enail is also used for malicious attempts to gain access to receiver computer/device. This article presents a novel hybrid architecture for spam emails filtering using mails content-based approach. For filtering, Word2Vec (W2V) word embedding procedure is used for feature selection with bio-inspired “Particle Swarm Optimization (PSO)” and “Support Vector Machine (SVM)” combined with “Convolutional Neural Network (CNN)”. Moreover, our proposed hybrid architecture is simulated in open-source tool and the performance is evaluated using standard confusion matrix. Afterw ards, the results are compared with various previous algorithms/models. Experimental results show that our proposed hybrid scheme enhances detection accuracy of spam emails.

关键词： Support vector machines Filtering Unsolicited e-mail Computational modeling Supervised learning computer architecture Receivers

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Predicting Timely Diagnosis of Metastatic Breast Cancer: A Stack Ensemble Classification Approach

Predicting Timely Diagnosis of Metastatic Breast Cancer: A S...

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Women in data science at Prince Sultan University (WiDS PSU), International Conference of

作者： Saima Jabeen Sajid Shah Mohamed A. Bahloul Ishrat Khan Mohammed ELAffendi College of Engineering Alfaisal University Riyadh Saudi Arabia EIAS Data Science and Blockchain lab CCIS Prince Sultan University Riyadh Saudi Arabia College of Computer and Information Sciences Prince Sultan University Riyadh Saudi Arabia

ISBN: (数字)9798331520922

ISBN: (纸本)9798331520939

Healthcare inequity is a global issue that affects women's health significantly. The WiDS datathon 2024 Challenge #1 focused on predicting a timely diagnosis of metastatic Triple Negative Breast Cancer (TNBC), a critical indicator of healthcare access disparities. TNBC is one of the most progressive cancer types for which timely treatment is of utmost importance for the survival of the patient. This paper presents a stack ensemble classification approach developed by the team “The Synergistic Solvers”, which secured $7^{th}$ position in the competition and won the Top First-Timer Team award. The solution takes advantage of a combination of data pre-processing techniques, feature engineering, and ensemble learning. The key findings highlight the importance of patient age, diagnosis of malignant neoplasms, and careful handling of missing values. The developed model contributes to understanding the factors influencing timely cancer diagnosis and promoting equitable healthcare access.

关键词： Accuracy Diversity reception Buildings Medical services Predictive models data science Breast cancer Natural language processing Ensemble learning Neoplasms

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Efficient Transmission of Holographic Images: A Novel Approach Toward 6G Telepresence Services 1

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26th International Conference on Distributed computer and Communication Networks: Control, Computation, Communications, DCCN 2023

作者： Svechnikov, Daniil Pankov, Bogdan Nesterova, Yana Volkov, Artem Ateya, Abdelhamied A. Koucheryavy, Andrey The Bonch-Bruevich Saint-Petersburg State University of Telecommunications St. Petersburg193232 Russia EIAS Data Science Lab College of Computer and Information Sciences Prince Sultan University Riyadh11586 Saudi Arabia Department of Electronics and Communications Engineering Zagazig University Sharqia Zagazig44519 Egypt

ISBN: (数字)9783031504822

ISBN: (纸本)9783031504815

In recent years, advancements in technology have brought forth a new frontier in visual communication. Holography is a technique that captures and reproduces three-dimensional (3D) images with an unprecedented level of realism and depth, has emerged as a groundbreaking method for conveying visual information. Unlike traditional images and videos, holography recreates scenes with full parallax, enabling viewers to perceive objects from various angles. The transmission of holographic images presents both exciting possibilities and unique challenges. To this end, this article investigates a novel method for transmitting holographic images efficiently across communication networks. This innovative approach involves transmitting data related to control point movements rather than the entire image. The technique focuses on capturing the dynamic 3D movements of a person and transmitting information about the shifts in their control points. To achieve this, a system comprising three distinct applications has been devised. These applications are responsible for recording object motion data, converting it into key point coordinates, transmitting it through communication networks, and rendering the data as movements of a 3D object within an augmented reality (AR) application. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： 5G mobile communication systems

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Revolutionizing H2M Interaction: Telepresence System Enabling Sign Language Expansion for Individuals with Disabilities 1

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26th International Conference on Distributed computer and Communication Networks: Control, Computation, Communications, DCCN 2023

作者： Kuznetsov, Konstantin Muthanna, Ammar Ateya, Abdelhamied A. Koucheryavy, Andrey The Bonch-Bruevich Saint-Petersburg State University of Telecommunications St. Petersburg193232 Russia EIAS Data Science Lab College of Computer and Information Sciences Prince Sultan University Riyadh11586 Saudi Arabia Department of Electronics and Communications Engineering Zagazig University Sharqia Zagazig44519 Egypt

ISBN: (数字)9783031504822

ISBN: (纸本)9783031504815

The modern network technology ecosystem is expanding rapidly in multiple dimensions. Due to the demands of the Tactile Internet and fifth-generation (5G) networks, conventional approaches are no longer producing significant advancements. The imminent integration of immersive technologies holds the potential to revolutionize human existence, ushering in a new era of fully realized and enhanced human-to-machine interactions (H2M). This paradigm shift is poised to offer many benefits and adopt wireless technologies to enable real-time remote control. Concurrently, introducing the Tactile Internet necessitates a fundamental reevaluation of the foundational principles governing current and prospective communication networks. This article delves into an experimental endeavor that seeks to seamlessly integrate immersive technologies within 5G networks. A microservice application was developed for this purpose, simulating the nuanced movements of a person’s hand in space and facilitating the expression of intricate gestures. The article also delves into the strategies employed to minimize latency, enhancing the overall experience. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： 5G mobile communication systems

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Two-Way Approach for Improved Real-Time Transmission in Fog-IoT-Based Health Monitoring System for Critical Patients

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computer Systems science & Engineering 2023年第9期46卷 3815-3829页

作者： Abeera Ilyas Saeed Mahfooz Zahid Mehmood Gauhar Ali Muhammad ElAffendi Department of Computer Science University of PeshawarPeshawar25120Pakistan Department of Computer Engineering University of Engineering and TechnologyTaxila47050Pakistan The FAMLIR Group The University of LahoreLahore54000Pakistan EIAS Data Science and Blockchain Lab College of Computer and Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia

Health monitoring systems are now required,particularly for essential patients,following the COVID-19 pandemic,which was followed by its variants and other epidemics of a similar *** procedures and strategies are required,though,to react promptly to the enormous volume of real-time data offered by monitoring *** fog-based designs for IoT health systems typically result in enhanced services,they also give rise to issues that need to be *** this paper,we propose a two-way strategy to reduce network latency and usewhile increasing real-time data transmission of device gateways used for sensors by making educated judgments for connection setup with BS and task *** this,a simulation using iFogSim in the Eclipse IDE showed how effective the suggested strategy for massive IoT healthmonitoring systems *** algorithm is analyzed for network usage and latency,and the results reveal 20%–25%improvements compared to the existing methods regarding network usage and latency.

关键词： IoT fog computing delay healthcare network usage quality of service

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A multiple sensitive attributes data publishing method with guaranteed information utility

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CAAI Transactions on Intelligence Technology 2023年第2期8卷 288-296页

作者： Haibin Zhu Tong Yi Songtao Shang Minyong Shi Zhucheng Li Wenqian Shang Department of Computer Science and Mathematics Nipissing UniversityNorth BayOntarioCanada Key Lab of Education Blockchain and Intelligent Technology Ministry of EducationGuangxi Normal UniversityGuilinChina Guangxi Key Lab of Multi‐Source Information Mining and Security Guangxi Normal UniversityGuilinChina School of Computer and Communication Engineering Zhengzhou University of Light IndustryZhengzhouChina School of Computer Science Communication University of ChinaBeijingChina Business College Beijing Union UniversityBeijingChina

data publishing methods can provide available information for analysis while preserving *** multiple sensitive attributes data publishing,which preserves the relationship between sensitive attributes,may keep many records from being grouped and bring in a high record suppression *** category of multiple sensitive attributes data publishing,which reduces the possibility of record suppression by breaking the relationship between sensitive attributes,cannot provide the sensitive attributes association for ***,the existing multiple sensitive attributes data publishing fails to fully account for the comprehensive information *** acquire a guaranteed information utility,this article defines comprehensive information loss that considers both the suppression of records and the relationship between sensitive attributes.A heuristic method is leveraged to discover the optimal anonymity scheme that has the lowest comprehensive information *** experimental results verify the practice of the proposed data publishing method with multiple sensitive *** proposed method can guarantee information utility when compared with previous ones.

关键词： data analysis data privacy security of data

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Criteria and Tips for Choosing Suitable Journal for Your Paper

arXiv

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arXiv 2023年

作者： Hammad, Mohamed EIAS Data Science Lab College of Computer and Information Sciences Prince Sultan University Riyadh11586 Saudi Arabia Information Technology Department Faculty of Computers and Information Menoufia University Egypt

Selecting the right journal for your research paper is a pivotal decision in the academic publishing journey. This paper aims to guide researchers through the process of choosing a suitable journal for their work by discussing key criteria and offering practical tips. The significance of this decision lies in the potential impact of your research, the alignment of author’s findings with the journal's scope, and the reception your work receives in the scientific community. In this paper, we delve into the importance of meticulously matching your paper's subject matter with the journal's scope, assessing the journal's reputation and impact factor, understanding the intricacies of the submission process, and upholding ethical and open-access considerations. By following these guidelines, researchers can make informed decisions that increase the chances of their work being published in a respected journal that truly complements their research objectives and *** Codes K.6 © 2023, CC BY.

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A Novel Image Encryption and Decoding Approach Based on DNA Coding and Arnold's Transformation for IoT Applications

A Novel Image Encryption and Decoding Approach Based on DNA ...

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Telecommunications Conference (ITC-Egypt), International

作者： Nawal Shaltout Ahmed A. Abd El-Latif Waleed Al-Adrousy Mohamed Hammad Abdelhamied A. Ateya Samir Elmougy Department of Computer Science Faculty of Computers and Information Mansoura University Mansoura Egypt EIAS Data Science Lab College of Computer and Information Sciences Prince Sultan University Riyadh Saudi Arabia Department of Mathematics and Computer Science Faculty of Science Menoufia University Egypt Department of Information Technology Faculty of Computers and Information Menoufia University Shibin El Kom Egypt Department of Electronics and Communications Engineering Zagazig University Zagazig Egypt

ISBN: (数字)9798350351408

ISBN: (纸本)9798350351415

Nowadays, the Internet of Things (IoT) is significantly utilized by an extensive range of applications that lead to the enhancement of different aspects of defense and military capabilities. In IoT, a wide range of smart devices that can communicate with each other are connected through it. Therefore, it is essential to protect multimedia data, especially images with an encryption approach that offers a sufficient degree of security in military applications. Hence, this paper introduces an effective scheme for image encryption and decoding relying on Arnold's transformation DNA coding. It proposes a new pseudo-random number generation PRNG using the Sine-Logistic map and Duffing map called SLDM. The encryption method involves three phases: 1- Key generation and PRNG. 2- confusion phase using the Arnold transformation method. 3- diffusion using DNA rules and operations. The results based on the USC-SIPI dataset, show that the suggested scheme is sufficiently resistant to every kind of attack. Furthermore, the suggested method yields NPCR scores of around 99.62% and UACI scores of approximately 33.48%. Due to its low complexity, it has a great deal of potential for safe and real-time picture applications.

关键词： Resistance Image coding Chaotic communication DNA Encryption Decoding Telecommunications

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