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Adaptive Attribute-Based Honey Encryption: A Novel Solution for Cloud Data Security

Computers, Materials & Continua 2025年第2期82卷 2637-2664页

作者： Reshma Siyal Muhammad Asim Long Jun Mohammed Elaffendi Sundas Iftikhar Rana Alnashwan Samia Allaoua Chelloug School of Computer Science and Engineering Central South UniversityChangsha410083China EIAS LAB College of Computer and Information Sciencesand Center of Excellence in Quantum and Intelligent ComputingPrince Sultan UniversityRiyadh11586Saudi Arabia Gianforte School of Computing Montana State UniversityBozemanMT 59717USA Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia

A basic procedure for transforming readable data into encoded forms is encryption, which ensures security when the right decryption keys are used. Hadoop is susceptible to possible cyber-attacks because it lacks built-in security measures, even though it can effectively handle and store enormous datasets using the Hadoop Distributed File system (HDFS). The increasing number of data breaches emphasizes how urgently creative encryption techniques are needed in cloud-based big data settings. This paper presents Adaptive Attribute-Based Honey Encryption (AABHE), a state-of-the-art technique that combines honey encryption with Ciphertext-Policy Attribute-Based Encryption (CP-ABE) to provide improved data security. Even if intercepted, AABHE makes sure that sensitive data cannot be accessed by unauthorized parties. With a focus on protecting huge files in HDFS, the suggested approach achieves 98% security robustness and 95% encryption efficiency, outperforming other encryption methods including Ciphertext-Policy Attribute-Based Encryption (CP-ABE), Key-Policy Attribute-Based Encryption (KB-ABE), and Advanced Encryption Standard combined with Attribute-Based Encryption (AES+ABE). By fixing Hadoop’s security flaws, AABHE fortifies its protections against data breaches and enhances Hadoop’s dependability as a platform for processing and storing massive amounts of data.

关键词： Cybersecurity data security cloud storage hadoop encryption and decryption privacy protection attribute-based honey encryption

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Joint Beamforming Design for Multi-Functional RIS-Aided Over-the-Air Federated Learning

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IEEE Internet of Things Journal 2025年第12期12卷 21720-21739页

作者： Zhang, Xinran Tian, Hui Ni, Wanli Yang, Zhaohui Beijing University of Posts and Telecommunications State Key laboratory of Networking and Switching Technology Beijing100876 China Tsinghua University Department of Electronic Engineering Beijing100084 China Zhejiang Lab Hangzhou311121 China Zhejiang University College of Information Science and Electronic Engineering Hangzhou310027 China Hangzhou310007 China

Over-the-air computation has emerged as a high-spectrum efficient and low-latency solution for model aggregation in federated learning (FL) by leveraging the superposition property of wireless channels. However, traditional over-the-air FL (AirFL) faces challenges such as signal misalignment, imperfect channel state information (CSI), and noisy fading channels. To enable more efficient and reliable AirFL in Internet of Things, we employ a multi-functional reconfigurable intelligent surface (MF-RIS) to alleviate mean square error (MSE) of AirFL model aggregation. By deriving the convergence analysis of AirFL in both convex and non-convex settings, we unveil the impact of MSE on MF-RIS-aided AirFL under varying conditions. Based on the theoretical insights, we aim to minimize the MSE through a joint design of transceiver beamforming and MF-RIS coefficients, but it necessitates solving a mixed-integer nonlinear programming problem. To solve it efficiently, we propose an alternating optimization algorithm based on the semidefinite relaxation approach and difference-of-convex programming. The efficacy of our approach is corroborated by numerical results, which underscore the performance gains achieved by the proposed algorithm. Additionally, the MF-RIS demonstrates remarkable proficiency in suppressing MSE and bolstering AirFL performance, even under conditions of imperfect CSI. © 2025 IEEE.

关键词： Mean square error

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Track Slab Crack Detection Algorithm with Few Samples Based on Deep Learning 8

Track Slab Crack Detection Algorithm with Few Samples Based ...

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8th International Conference on Intelligent Informatics and Biomedical sciences, ICIIBMS 2023

作者： Liu, Zhongjie Li, Wenju Gao, Xiaosong Liu, Cui Shanghai Institute of Technology School of Computer Science and Information Engineering Shanghai China Shanghai Crrc Ro-Intelligent System. Co. Ltd. Shanghai China

ISBN: (纸本)9798350369564

In order to solve the problem of track slab crack detection under few samples' conditions, this paper proposes a track slab crack detection algorithm with few samples based on deep learning. Firstly, after extracting multi-scale query and support features through the Swin Transformer backbone, the similarity between query pixels and support pixels is computed according to the scaled dot-product attention of the Transformer architecture, and the query masks are aggregated;in order to filter a large amount of irrelevant background information in the crack image, multi-scale prototypes are computed by using prototypical learning, highlighting the class information of the cracks, and introducing a lightweight attention module to generate class-representative attention feature maps using support features at different scales, which guides the network to focus its attention on the target region;finally, the final prediction of cracks is realized by the feature fusion module. The experimental results show that the track slab crack IoU reaches 66.94% and the FB-IoU reaches 83.02% under the few samples' condition and exhibits strong generalization performance on the crack set of other scenarios as well. © 2023 IEEE.

关键词： Crack detection

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A fast simulated annealing heuristic for the multi-depot two-echelon vehicle routing problem with delivery options

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Transportation Letters 2024年第8期16卷 921-932页

作者： Yu, Vincent F. Lin, Shih-Wei Zhou, Lin Baldacci, Roberto Department of Industrial Management National Taiwan University of Science and Technology Taipei Taiwan Center for Cyber-Physical System Innovation National Taiwan University of Science and Technology Taipei Taiwan Department of Information Management Chang Gung University Taoyuan Taiwan Department of Industrial Engineering and Management Ming Chi University of Technology New Taipei Taiwan Department of Emergency Medicine Keelung Chang Gung Memorial Hospital Keelung Taiwan College of Management Chongqing University of Technology Chongqing China Division of Engineering Management and Decision Sciences College of Science and Engineering Hamad Bin Khalifa University Doha Qatar

We studied a variant of the vehicle routing problem (VRP) arising in last-mile distribution, called the multi-depot two-echelon vehicle routing problem with delivery options (MDTEVRP-DO). The MDTEVRP-DO involves two decision levels: (i) designing routes for a fleet of vehicles located in multiple depots to transport customer demands to a set of satellites and (ii) routing a fleet of vehicles from the satellites to serve the final customers. Nowadays, a relevant feature of the problem characterizing delivery services is that customers can collect their packages at pickup stations near their homes or workplaces. We designed an effectively simulated annealing (SA) heuristic for the problem. The new algorithm was extensively tested on benchmark instances from the literature, and its results were compared with those of start-of-the-art algorithms. The results show that the proposed SA obtains 30 out of the 36 best solutions for the MDTEVRP-DO benchmark instances. Moreover, its computation performance is superior to state-of-the-art algorithms for the MDTEVRP-DO. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Simulated annealing

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Mixing Dynamics and Synthesis Performance of Staggered Herringbone Micromixer for Limit Size Lipid Nanoparticles

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Journal of Beijing Institute of technology 2022年第3期31卷 293-301页

作者： Shuai Zhang Yunlong Fan Chenmu Xue Yuanzhan Yang Xiaoqiong Li Xiaodong Chen Yulin Deng School of Aerospace Engineering Beijing Institute of TechnologyBeijing 100081China Institute of Engineering Medicine Beijing Institute of TechnologyBeijing 100081China School of Life Science Beijing Institute of TechnologyBeijing 100081China Key Laboratory of Convergence Medical Engineering System and Healthcare Technology Ministry of Industry and Information TechnologyBeijing 100081China

Staggered herringbone micromixer has shown good efficiency of mixing and performance of synthesizing *** bring a detailed understanding of the mixing dynamics and syn-thesis performance of this kind of micromixer,this paper carries out a high-fidelity numerical simu-lation and a parametrial experimental study on a well-established design.A passive tracer is induced in the numerical simulation to analyze mixing dynamics induced by the staggered herring-bone *** effects are identified to reveal the underlying mechanisms,including folding,stretching,and *** the authors’knowledge,the splitting effect is identified for the first time by the isosurface of the passive tracer,to show the high efficiency of the staggered herring-bone *** micromixer is then used to synthesize lipid nanoparticles by mixing a mixture of lipid and poly(lactic-co-glycolic acid)(PLGA)solutions with deionized *** a wide mass ratio of lipid and PLGA solutions,nanoparticles with good monodispersity are synthesized to reflect the good compatibility of the micromixer and the *** addition,an optimized mass ratio is identified from the parametrical experiment.

关键词： mixing dynamics staggered herringbone micromixer folding stretching splitting

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Application of Artificial Intelligence in the Supply Chain: A systematic Literature Review 6th

Application of Artificial Intelligence in the Supply Chain: ...

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6th International Conference on Big Data Cloud and Internet of Things, BDIoT 2022

作者： Kriouich, Mohamed Sarir, Hicham Mahboub, Oussama Advanced Science and Technology Team ENSA Tetouan Abdelmalek Esaadi University Tetouan Morocco Information System and Software Engineering ENSA Tetouan Abdelmalek Esaadi University Tetouan Morocco

ISBN: (纸本)9783031283864

This research presents a systematic literature review of using artificial intelligence (AI) in the supply chain (SC). We examine the works done so far in relation to AI research, which still needs to be investigated in light of the potential benefits of implementing AI in supply chain management. Dynamic supply chain processes require artificial intelligence techniques capable of dealing with their increasing complexity. Artificial intelligence techniques such as machine learning, Deep learning, natural language processing, expert systems, knowledge representation, Fuzzy logic and models, social intelligence, Artificial neural networks, Support vector machines, Gaussian models, robotics, Ant colony, and computer vision can transform and optimize the supply chain. In order to classify the study material, we looked at 50 research papers from the Scopus database that were published between 2002 and 2022 and assigned each one a grade based on two fundamental structural factors are as follows: AI techniques and sector of application. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Classification (of information)

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Automated Grading of Breast Cancer Histopathology Images Using Multilayered Autoencoder

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Computers, Materials & Continua 2022年第5期71卷 3407-3423页

作者： Shakra Mehak M.Usman Ashraf Rabia Zafar Ahmed M.Alghamdi Ahmed S.Alfakeeh Fawaz Alassery Habib Hamam Muhammad Shafiq Knowledge Unit of System and Technology University of Management&TechnologySialkot Campus51310Pakistan Department of Computer Science University of Management and TechnologySialkot Campus51310Pakistan Faculty of Computing and Technology University of Engineering&TechnologyNarowal51610Pakistan College of Computer Science and Engineering University of Jeddah21493Saudi Arabia Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaifSaudi Arabia Faculty of Engineering Moncton UniversityNBE1A3E9Canada Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

Breast cancer(BC)is the most widely recognized cancer in women *** 2018,627,000 women had died of breast cancer(World Health Organization Report 2018).To diagnose BC,the evaluation of tumours is achieved by analysis of histological *** present,the Nottingham Bloom Richardson framework is the least expensive approach used to grade BC *** contemplate three elements,*** count,*** formation,and *** atypia,which is a laborious process that witness’s variations in expert’s ***,some algorithms have been proposed for the detection of mitotic cells,but nuclear atypia in breast cancer histopathology has not received much *** atypia analysis is performed not only to grade BC but also to provide critical information in the discrimination of normal breast,non-invasive breast(usual ductal hyperplasia,atypical ductal hyperplasia)and pre-invasive breast(ductal carcinoma in situ)and invasive breast *** proposed a deep-stacked multi-layer autoencoder ensemble with a softmax layer for the feature extraction and classification *** classification results show the value of the multilayer autoencoder model in the evaluation of nuclear *** proposed method has indicated promising results,making them more fit in breast cancer grading.

关键词： Breast cancer nuclear atypia autoencoder

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Low-Complexity Chase Decoding of Hermitian Codes with Re-encoding Transform and Fast Factorization

Low-Complexity Chase Decoding of Hermitian Codes with Re-enc...

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2023 IEEE Globecom Workshops, GC Wkshps 2023

作者： Liang, Jiwei Chen, Li School of System Science and Engineering Sun Yat-sen University Guangzhou510006 China School of Electronics and Information Technology Sun Yat-sen University Guangzhou510006 China

ISBN: (纸本)9798350370218

This paper proposes the low-complexity Chase (LCC) decoding for Hermitian codes, which is facilitated by the re-encoding transform (ReT) and fast factorization (FF). By identifying η unreliable received symbols, 2η test-vectors are formulated. Kotter's interpolation is performed for decoding the test-vectors, in which the common element interpolation is performed once and the uncommon element interpolation is further performed in a binary tree growing fashion. The ReT is introduced to reduce its complexity and latency. Moreover, the FF is introduced to obtain the estimated codewords directly from the interpolation outcome. It eliminates the redundant encoding that identifies the most likely decoding output. Our simulation results show that the decoding complexity and latency are effectively reduced over the prototype LCC decoding of Hermitian codes. © 2023 IEEE.

关键词： factorization Hermitian codes low-complexity Chase decoding re-encoding transform

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Velocity measurements in single and parallel channels using concentration changes in aqueous methylene blue solution

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International Journal of Hydrogen Energy 2025年 145卷 761-771页

作者： Yujin Cho Hanbyeol Pak Chang-Whan Lee Jeong-Hyun Kim Department of Mechanical Information Engineering Seoul National University of Science and Technology Seoul 01811 Republic of Korea Department of Mechanical System Design Engineering Seoul National University of Science and Technology Seoul 01811 Republic of Korea

Fluid flow along a path confined by a solid wall is observed in various industries, ranging from microfluidic channels to industrial piping systems. A straightforward technique is needed to measure the velocity in a branched channel system. This study proposes a non-invasive method for measuring the velocity in opaque parallel channel flows under laminar flow conditions. An aqueous methylene blue solution was infused into a channel with a square cross-section prefilled with deionized water, allowing for measuring the velocity field based on variations in liquid concentration. The proposed technique was tested in several configurations: a straight single channel, parallel channels with varying numbers of flow paths and inlet distribution lengths. As the number of flow paths for the parallel channel increased and the inlet distribution length decreased, a non-uniform flow distribution was observed. In all cases, the experimental results were in good agreement with the simulation results.

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Extended NNs-Based Adaptive Event-Triggered Asymptotic Control for Nonlinear systems Against Actuator Faults 7

Extended NNs-Based Adaptive Event-Triggered Asymptotic Contr...

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7th International Symposium on Autonomous systems, ISAS 2024

作者： Liu, Shanlin Zhang, Yingwei Zhao, Xudong Wang, Hesheng Northeastern University College of Information Science and Engineering Shenyang China Northeastern University State Laboratory of Synthesis Automation of Process Industry Shenyang China Dalian University of Technology Faculty of Electronic Information and Electrical Engineering Dalian China Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9798350363173

In this article, an adaptive event-triggered asymp¬totically fault-tolerant control (FTC) issue for nonlinear systems with actuator faults is investigated. An extended neural networks (NNs) technique is introduced to estimate unknown functions of the system under consideration. Compared with traditional NNs that ignore approximation errors, the proposed extended NNs further processes approximation errors, reducing the conservatism of the proposed algorithm. Then, within the framework of backstepping method, a new adaptive control strategy is developed by combining event-triggered mechanism (ETM) and bound estimation (BE) approach, which ensures the asymptotic convergence of system states while also reducing the transmission of unnecessary information, thus improving the utilization of communication resources. At the same time, the designed controller eliminates the adverse effects of actuator failures and system nonlinear terms. Finally, a simulation example of a single-link robot system is provided to demonstrate that the developed control strategy can ensure that all signals are bounded and system states are asymptotically convergent. © 2024 IEEE.

关键词： Approximation algorithms

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