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EBAKE-SE: A novel ECC-based authenticated key exchange between industrial IoT devices using secure element

Digital Communications and Networks 2023年第2期9卷 358-366页

作者： Chintan Patel ali Kashif Bashir ahmad ali alzubi Rutvij Jhaveri School of Artificial Intelligence Information Technology and Cyber SecurityRashtriya Raksha UniversityGujaratIndia Department of Computing and Mathematics Manchester Metropolitan UniversityUnited Kingdom Woxsen School of Business Woxsen UniversityIndia Department of Computer Science and Mathematics Lebanese American UniversityBeirutLebanon Computer Science Department Community CollegeKing Saud UniversityP.O.Box 28095Riyadh11437Saudi Arabia Department of Computer Science and Engineering School of TechnologyPandit Deendayal Energy UniversityGujaratIndia

Industrial IoT(IIoT)aims to enhance services provided by various industries,such as manufacturing and product *** suffers from various challenges,and security is one of the key challenge among those *** and access control are two notable challenges for any IIoT based industrial *** IoT based Industry 4.0 enterprise designs networks between hundreds of tiny devices such as sensors,actuators,fog devices and ***,articulating a secure authentication protocol between sensing devices or a sensing device and user devices is an essential step in IoT *** this paper,first,we present cryptanalysis for the certificate-based scheme proposed for a similar environment by Das et *** prove that their scheme is vulnerable to various traditional attacks such as device anonymity,MITM,and *** then put forward an interdevice authentication scheme using an ECC(Elliptic Curve Cryptography)that is highly secure and lightweight compared to other existing schemes for a similar ***,we set forth a formal security analysis using the random oracle-based ROR model and informal security analysis over the Doleve-Yao *** this paper,we present comparison of the proposed scheme with existing schemes based on communication cost,computation cost and security index to prove that the proposed EBAKE-SE is highly efficient,reliable,and trustworthy compared to other existing schemes for an inter-device *** long last,we present an implementation for the proposed EBAKE-SE using MQTT protocol.

关键词： Internet of things Authentication Elliptic curve cryptography Secure key exchange Message Queuing telemetry transport

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An Optimized Method for Accounting Information in Logistic Systems

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Computer Systems Science & Engineering 2023年第5期45卷 1595-1609页

作者： ahmad Mohammed Alamri ahmad ali alzubi Administrative Sciences Department Community CollegeKing Saud UniversityRiyadhSaudi Arabia Computer Science Department Community CollegeKing Saud UniversityP.O.Box 28095Riyadh11437Saudi Arabia

In the era of rapid information development,with the popularity of computers,the advancement of science and technology,and the ongoing expansion of IT technology and business,the enterprise resource planning(ERP)system has evolved into a platform and a guarantee for the fulfilment of company management procedures after long-term *** of developments in information technology,most manual accounting procedures are being replaced by computerized Accounting Information Systems(AIS),which are quicker and more *** primary factors influencing the decisions of logistics firm trading parties are investigated in order to enhance the design of decision-supporting modules and to improve the performance of logistics enterprises through *** paper proposed a novel approach to calculate the weights of each information element in order to establish their important *** main purpose of this research is to present a quantitative analytic approach for determining the important information of logistics business collaboration ***,the idea of total orders and the significant degrees stated above are used to identify the optimal order of all information *** the three ways of marginal revenue,marginal cost,and business matching degree,the information with cumulative weights is which is deployed to form the data from the intersection of the best *** has the ability to drastically reduce the time and effort required to create a logistics business control/decision-making system.

关键词： Accounting information systems decisions systems corporate accounting logistic system

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Intelligent Approach for Traffic Orchestration in SDVN Based on CMPR

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Computers, Materials & Continua 2021年第6期67卷 3749-3763页

作者： Thamer Alhussain ahmad ali alzubi Abdulaziz Alarifi Department of E-Commerce College of Administrative and Financial SciencesSaudi Electronic UniversitySaudi Arabia Department of Computer Science Community CollegeKing Saud UniversitySaudi Arabia

The vehicle ad hoc network that has emerged in recent years was originally a branch of the mobile ad hoc *** the drafting and gradual establishment of standards such as IEEE802.11p and IEEE1609,the vehicle ad hoc network has gradually become independent of the mobile ad hoc *** Internet of Vehicles(Vehicular Ad Hoc Network,VANET)is a vehicle-mounted network that comprises vehicles and roadside basic *** multi-hop hybrid wireless network is based on a vehicle-mounted self-organizing *** compared to other wireless networks,such as mobile ad hoc networks,wireless sensor networks,wireless mesh networks,etc.,the Internet of Vehicles offers benefits such as a large network scale,limited network topology,and predictability of node *** paper elaborates on the Traffic Orchestration(TO)problems in the Software-Defined Vehicular Networks(SDVN).A succinct examination of the Software-defined networks(SDN)is provided along with the growing relevance of TO in *** the technology features of SDN,a modified TO method is proposed,which makes it possible to reduce time complexity in terms of a group of path creation while simultaneously reducing the time needed for path reconfiguration.A criterion for path choosing is proposed and justified,which makes it possible to optimize the load of transport network *** up,this paper justifies using multipath routing for TO.

关键词： SDVN traffic orchestration vehicular networks multipath routing

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An Optimized Method for Information System Transactions Based on Blockchain

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Intelligent Automation & Soft Computing 2023年第2期35卷 2289-2308页

作者： Jazem Mutared Alanazi ahmad ali alzubi Computer Science Department Community CollegeKing Saud UniversityRiyadhSaudi Arabia

Accounting Information System(AIS),which is the foundation of any enterprise resource planning(ERP)system,is often built as centralized *** technologies that allow the Internet-of-Value,which is built onﬁve aspects that are network,algorithms,distributed ledger,transfers,and assets,are based on *** and consensus protocols boost the blockchain plat-form implementation,acting as a deterrent to cyber-attacks and *** platforms foster innovation among supply chain participants,resulting in ecosys-tem *** business processes have been severely disrupted by blockchains since apps and transactions that previously required centralized struc-tures or trusted third-parties to authenticate them may now function in a decentra-lized manner with the same level of *** a blockchain split in AIS may easily lead to double-spending attacks,reducing the likelihood of a split has become a very important and difﬁcult research *** block relay time between the nodes can minimize the block propagation time of all nodes,resulting in better Bitcoin *** this paper,three problems were addressed on transaction and block propagation mechanisms in order to reduce the likelihood of a split.A novel algorithm for blockchain is proposed to reduce the total pro-pagation delay in AIS *** results reveal that,the proposed algorithm performs better and reduce the transaction delay in AIS as compared with existing methods.

关键词： Information systems internal control blockchain digital transactions

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An Optimal Algorithm for Secure Transactions in Bitcoin Based on Blockchain

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Intelligent Automation & Soft Computing 2023年第3期35卷 3693-3712页

作者： Jazem Mutared Alanazi ahmad ali alzubi Computer Science Department Community CollegeKing Saud UniversitySaudi Arabia

Technological advancement has made a signiﬁcant contribution to the change of the economy and the advancement of *** it is changing how economic transactions are carried out,the blockchain is one of the technical developments that has a lot of promise for this *** public record of the Bitcoin blockchain provides dispersed users with evidence of transaction owner-ship by publishing all transaction data from block reward transactions to unspent transaction *** on the public ledger,on the other hand,are a result of the fact that all transaction information are ***-anonymization attacks allow users to link transaction entities and acquire user privacy through speciﬁed transaction *** a result,in light of the Bitcoin blockchain system’s priv-acy issues,this scheme combines the concept of coin mixing with encrypted trans-action technology to create a truly anonymous blockchain system that preserves the payer identity and transaction amount *** one-way aggregated sig-nature technique of Boneh,Gentry,and Lynn systematically embeds the notion of mixing into the whole *** homomorphic encryption approach of Boneh,Goh,and Nissim allows miners to check the legality of encrypted *** will validate transactions,conceal transactions,and package transactions as entities in the ***,this technique was chosen after a comparison of several privacy-preserving blockchain *** not only ensures complete anonymity,but also keeps transaction storage overhead to a minimum.

关键词： Bitcoin blockchain privacy decentralization fault-tolerance

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An Optimized Technique for RNA Prediction Based on Neural Network

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Intelligent Automation & Soft Computing 2023年第3期35卷 3599-3611页

作者： ahmad ali alzubi Jazem Mutared Alanazi Computer Science Department Community CollegeKing Saud UniversityRiyadhSaudi Arabia

Pathway reconstruction, which remains a primary goal for many investigations, requires accurate inference of gene interactions and causality. Non-coding RNA (ncRNA) is studied because it has a significant regulatory role in manyplant and animal life activities, but interacting micro-RNA (miRNA) and longnon-coding RNA (lncRNA) are more important. Their interactions not only aidin the in-depth research of genes’ biological roles, but also bring new ideas forillness detection and therapy, as well as plant genetic breeding. Biological investigations and classical machine learning methods are now used to predict miRNAlncRNA interactions. Because biological identification is expensive and time-consuming, machine learning requires too much manual intervention, and the featureextraction process is difficult. This research presents a deep learning model thatcombines the advantages of convolutional neural networks (CNN) and bidirectional long short-term memory networks (Bi-LSTM). It not only takes intoaccount the connection of information between sequences and incorporates contextual data, but it also thoroughly extracts the sequence data’s features. On thecorn data set, cross-checking is used to evaluate the model’s performance, andit is compared to classical machine learning. To acquire a superior classificationeffect, the proposed strategy was compared to a single model. Additionally, thepotato and wheat data sets were utilized to evaluate the model, with accuracy ratesof 95% and 93%, respectively, indicating that the model had strong generalization capacity.

关键词： Neural networks biomedical engineering genetic analysis machine learning

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An Improved Lung Cancer Segmentation Based on Nature-Inspired Optimization Approaches

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Computer Modeling in Engineering & Sciences 2024年第2期138卷 1051-1075页

作者： Shazia Shamas Surya Narayan Panda Ishu Sharma Kalpna Guleria Aman Singh ahmad ali alzubi Mallak ahmad alzubi Chitkara University Institute of Engineering and Technology Chitkara UniversityRajpuraPunjab140401India Higher Polytechnic School Universidad Europea del AtlánticoC/Isabel Torres 21Santander39011Spain Department of Engineering Universidad Internacional IberoamericanaAreciboPR00613USA Uttaranchal Institute of Technology Uttaranchal UniversityDehradunUttarakhand248007India Computer Science Department King Saud UniversityRiyadhSaudi Arabia Faculty of Medicine Jordan University of Science and TechnologyIrbidJordan

The distinction and precise identification of tumor nodules are crucial for timely lung cancer diagnosis andplanning intervention. This research work addresses the major issues pertaining to the field of medical imageprocessing while focusing on lung cancer Computed Tomography (CT) images. In this context, the paper proposesan improved lung cancer segmentation technique based on the strengths of nature-inspired approaches. Thebetter resolution of CT is exploited to distinguish healthy subjects from those who have lung cancer. In thisprocess, the visual challenges of the K-means are addressed with the integration of four nature-inspired swarmintelligent techniques. The techniques experimented in this paper are K-means with Artificial Bee Colony (ABC),K-means with Cuckoo Search Algorithm (CSA), K-means with Particle Swarm Optimization (PSO), and Kmeanswith Firefly Algorithm (FFA). The testing and evaluation are performed on Early Lung Cancer ActionProgram (ELCAP) database. The simulation analysis is performed using lung cancer images set against metrics:precision, sensitivity, specificity, f-measure, accuracy,Matthews Correlation Coefficient (MCC), Jaccard, and *** detailed evaluation shows that the K-means with Cuckoo Search Algorithm (CSA) significantly improved thequality of lung cancer segmentation in comparison to the other optimization approaches utilized for lung cancerimages. The results exhibit that the proposed approach (K-means with CSA) achieves precision, sensitivity, and Fmeasureof 0.942, 0.964, and 0.953, respectively, and an average accuracy of 93%. The experimental results prove thatK-meanswithABC,K-meanswith PSO,K-meanswith FFA, andK-meanswithCSAhave achieved an improvementof 10.8%, 13.38%, 13.93%, and 15.7%, respectively, for accuracy measure in comparison to K-means segmentationfor lung cancer images. Further, it is highlighted that the proposed K-means with CSA have achieved a significantimprovement in accuracy, hence can be utilized by resea

关键词： Lesion lung cancer segmentation medical imaging meta-heuristic Artificial Bee Colony(ABC) Cuckoo Search Algorithm(CSA) Particle Swarm Optimization(PSO) Firefly Algorithm(FFA) segmentation

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RFID Adaption in Healthcare Organizations:An Integrative Framework

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Computers, Materials & Continua 2022年第1期70卷 1335-1348页

作者： Ahed Abugabah Louis Sanzogni Luke Houghton ahmad ali alzubi Alaa Abuqabbeh College of Technical Innovation Zayed UniversityAbu DhabiUAE Nathan Campus Griffith UniversityAustralia Department of Computer Science King Saud UniversityRiyadhSaudi Arabia Golden Gate University San FranciscoCaliforniaUSA

Radio frequency identification(RFID),also known as electronic label technology,is a non-contact automated identification technology that recognizes the target object and extracts relevant data and critical characteristics using radio frequency *** equipment information management is an important part of the construction of a modern hospital,as it is linked to the degree of diagnosis and care,as well as the hospital’s benefits and *** aim of this study is to create an integrated view of a theoretical framework to identify factors that influence RFID adoption in healthcare,as well as to conduct an empirical review of the impact of organizational,environmental,and individual factors on RFID adoption in the healthcare *** contrast to previous research,the current study focuses on individual factors as well as organizational and technological factors in order to better understand the phenomenon of RFID adoption in healthcare,which is characterized as a dynamic and challenging work *** research fills a gap in the current literature by describing how user factors can influence RFID adoption in healthcare and how such factors can lead to a deeper understanding of the advantages,uses,and impacts of RFID in *** proposed study has superior performance and effective results.

关键词： RFID healthcare information technology user factors

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Computing Challenges of UAV Networks: A Comprehensive Survey

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Computers, Materials & Continua 2024年第11期81卷 1999-2051页

作者： Altaf Hussain Shuaiyong Li Tariq Hussain Xianxuan Lin Farman ali ahmad ali alzubi School of Computer Science&Technology Chongqing University of Posts and TelecommunicationsChongqing400065China Key Laboratory of Industrial Internet of Things and Networked Control Ministry of EducationChongqing University of Posts and TelecommunicationsChongqing400065China School of Computer Science and Technology Zhejiang Gongshang UniversityHangzhou310018China School of Artificial Intelligence Nanjing University of Information Science&TechnologyNanjing210044China Department of Computer Science and Engineering School of ConvergenceCollege of Computing and InformaticsSungkyunkwan UniversitySeoul03063Republic of Korea Department of Computer Science Community CollegeKing Saud UniversityRiyadh11495Saudi Arabia

Devices and networks constantly upgrade,leading to rapid technological ***-dimensional(3D)point cloud transmission plays a crucial role in aerial computing terminology,facilitating information *** network types,including sensor networks and 5G mobile networks,support this ***,Flying Ad hoc Networks(FANETs)utilize Unmanned Aerial Vehicles(UAVs)as nodes,operating in a 3D environment with Six Degrees of Freedom(6DoF).This study comprehensively surveys UAV networks,focusing on models for Light Detection and Ranging(LiDAR)3D point cloud compression/*** topics covered include autonomous navigation,challenges in video streaming infrastructure,motivations for Quality of Experience(QoE)enhancement,and avenues for future ***,the paper conducts an extensive review of UAVs,encompassing current wireless technologies,applications across various sectors,routing protocols,design considerations,security measures,blockchain applications in UAVs,contributions to healthcare systems,and integration with the Internet of Things(IoT),Artificial Intelligence(AI),Machine Learning(ML),and Deep Learning(DL).Furthermore,the paper thoroughly discusses the core contributions of LiDAR 3D point clouds in UAV systems and their future prediction along with mobility *** also explores the prospects of UAV systems and presents state-of-the-art solutions.

关键词： Autonomous vehicles UAV systems UAV transmission UAV in healthcare future of UAV system security measures

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A Comprehensive Review on Medical Diagnosis Using Machine Learning

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Computers, Materials & Continua 2021年第5期67卷 1997-2014页

作者： Kaustubh Arun Bhavsar Ahed Abugabah Jimmy Singla ahmad ali alzubi ali Kashif Bashir Nikita Lovely Professional University Jalandhar144411India College of Technical Innovation Zayed UniversityDubaiUnited Arab Emirates Department of Computer Science King Saud UniversitySaudi Arabia Department of Computing and Mathematics Manchester Metropolitan UniversityManchesterM156BHUK School of Computer Science and Engineering Lovely Professional UniversityJalandhar144411India

The unavailability of sufficient information for proper diagnosis,incomplete or miscommunication between patient and the clinician,or among the healthcare professionals,delay or incorrect diagnosis,the fatigue of clinician,or even the high diagnostic complexity in limited time can lead to diagnostic *** errors have adverse effects on the treatment of a *** treatments increase the medical bills and deteriorate the health of a *** diagnostic errors that harm the patient in various ways could be minimized using machine *** learning algorithms could be used to diagnose various diseases with high *** use of machine learning could assist the doctors in making decisions on time,and could also be used as a second opinion or supporting *** study aims to provide a comprehensive review of research articles published from the year 2015 to mid of the year 2020 that have used machine learning for diagnosis of various *** present the various machine learning algorithms used over the years to diagnose various *** results of this study show the distribution of machine learning methods by medical *** on our review,we present future research directions that could be used to conduct further research.

关键词： Diagnostic system machine learning medical diagnosis healthcare applications

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