检索结果-南通市图书馆

A data reduction scheme for active authentication of legitimate smartphone owner using informative apps ranking

Digital Communications and Networks 2019年第4期5卷 205-213页

作者： abdulaziz alzubaidi Swarup Roy Jugal Kalita Department of Computer Science Umm Alqura UniversityAl-Qunfudah28821Saudi Arabia Department of Computer Applications Sikkim UniversityGangtok737102India Department of Information Technology North Eastern Hill UniversityShillong793022India Department of Computer Science University of ColoradoColorado SpringsCO80918USA

Smartphones are vulnerable to fraudulent use despite having strong authentication *** authentication based on behavioral biometrics is a solution to protect the privacy of data in smart ***-based frameworks are effective for active ***,the success of any machine-learningbased techniques depends highly on the relevancy of the data in hand for *** addition,the training time should be very *** in view both issues,we’ve explored a novel fraudulent user detection method based solely on the app usage patterns of legitimate *** hypothesized that every user has a unique pattern hidden in his/her usage of *** by this observation,we’ve designed a way to obtain training data,which can be used by any machine learning model for effective *** achieve better accuracy with reduced training time,we removed data instances related to any specific user from the training samples which did not contain any apps from the user-specific priority *** information theoretic app ranking scheme was used to prepare a user-targeted apps priority *** of each instance related to a candidate app was calculated by using a knockout ***,a weighted rank was calculated for each app specific to every *** with low ranked apps were removed to derive the reduced training *** datasets as well as seven classifiers for experimentation revealed that our reduced training data significantly lowered the prediction error rates in the context of classifying the legitimate user of a smartphone.

关键词： Fraudulent user Machine learning Classification Behavioral biometric Smartphone security

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Machine Learning Empowered Security and Privacy Architecture for IoT Networks with the Integration of Blockchain

引用

Intelligent Automation & Soft Computing 2024年第2期39卷 353-379页

作者： Sohaib Latif M.Saad Bin Ilyas Azhar Imran Hamad Ali Abosaq abdulaziz alzubaidi Vincent Karovic Jr. Department of Computer Science The University of ChenabGujrat50700Pakistan Department of Creative Technologies Air UniversityIslamabad42000Pakistan Computer Science Department College of Computer Science and Information SystemsNajran UniversityNajran66244Saudi Arabia Department of Computer Science Umm Alqura UniversityAlQunfudah28821Saudi Arabia Department of Information Systems Faculty of ManagementComenius University in BratislavaBratislava82005Slovakia

The Internet of Things(IoT)is growing rapidly and impacting almost every aspect of our lives,fromwearables and healthcare to security,traffic management,and fleet management *** has generated massive volumes of data and security,and data privacy risks are increasing with the advancement of technology and network *** access control solutions are inadequate for establishing access control in IoT systems to provide data protection owing to their vulnerability to single-point OF ***,conventional privacy preservation methods have high latency costs and overhead for resource-constrained *** machine learning approaches were also unable to detect denial-of-service(DoS)*** study introduced a novel decentralized and secure framework for blockchain *** avoid single-point OF failure,an accredited access control scheme is incorporated,combining blockchain with local peers to record each transaction and verify the signature to ***-based attribute-based cryptography is implemented to protect data storage privacy by generating threshold parameters,managing keys,and revoking users on the *** innovative contract-based DOS attack mitigation method is also incorporated to effectively validate devices with intelligent contracts as trusted or untrusted,preventing the server from becoming *** proposed framework effectively controls access,safeguards data privacy,and reduces the risk of *** results depict that the suggested framework outperforms the results in terms of accuracy,precision,sensitivity,recall,and F-measure at 96.9%,98.43%,98.8%,98.43%,and 98.4%,respectively.

关键词： Machine learning internet of things blockchain data privacy security Industry 4.0

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

A comprehensive survey of cyberattacks on EVs: Research domains,attacks, defensive mechanisms, and verification methods

引用

Defence Technology（防务技术） 2024年第12期42卷 31-58页

作者： Tawfiq Aljohani abdulaziz Almutairi Department of Electrical Engineering College of Engineering at YanbuTaibah UniversityYanbu41911Saudi Arabia Department of Electrical Engineering College of EngineeringMajmaah UniversityAlmajmaah11952Saudi Arabia

With the continuous development of transportation electrification,the cybersecurity of energy infrastructure has become increasingly ***,EVs resemble a significant tool to carryout cyberattacks since EVs are not only seen as dynamic loads but also as mobile energy sources that establish two-way communications with several players in the *** taxonomy aims to provide a comprehensive overview of cyberattacks against EVs from four distinct *** first is the research domains of EVs application,which investigates the different fields of research related to the development and application of EVs and how they are susceptible to cyber *** second is the CIAbased attacks,which examines the threats to the confidentiality,integrity,and availability of EVs'sensitive information and critical *** third taxonomy discusses the countermeasures and defensive mechanisms to secure the EVs against cyberattacks,including preventive measures,detection algorithms,response strategy,and recovery *** fourth taxonomy is the verification and validation methodologies,which explores the software tools and hardware testbeds used to test and evaluate the security of EVs against cyber ***,this taxonomy presents an understanding of the current state of cyberattacks against EVs and serves as a valuable resource for researchers and practitioners in the fields of cybersecurity and electric mobility.

关键词： Cybersecurity Electric vehicles Charging stations Cybersecurity of energy systems Cyberattacks

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

COVID-19 Pandemic Data Predict the Stock Market

引用

Computer Systems Science & Engineering 2021年第3期36卷 451-460页

作者： abdulaziz Almehmadi Faculty of Computing and Information Technology University of TabukTabukSaudi Arabia

Unlike the 2007–2008 market crash,which was caused by a banking failure and led to an economic recession,the 1918 inﬂuenza pandemic triggered a worldwideﬁnancial *** usually affect the global economy,and the COVID-19 pandemic is no *** stock markets have fallen over 40%,and companies are shutting down,ending contracts,and issuing volun-tary and involuntary leaves for thousands of *** economic effects have led to an increase in unemployment rates,crime,and *** pandemics’economic effects,especially on the stock market,has not been urgent or feasible until ***,with advances in artiﬁcial intelligence(AI)and the inter-connectivity that social media provides,such research has become *** this paper,we propose a COVID-19-based stock market prediction system(C19-SM2)that utilizes social *** AI system enables economists to study how COVID-19 pandemic data inﬂuence social media and,hence,the stock market.C19-SM2 gathers COVID-19 infection and death cases reported by the authorities and social media data from a geographic area and extracts the sentiments and events that occur in that *** information is then fed to the support vector machine(SVM)and random forest and random tree classiﬁers along with current stock market ***,the system produces a projection of the stock market’s movement during the next *** tested the system with the Dow Jones Industrial Average(DJI)and the Tadawul All Share Index(TASI).Our system achieved a stock market prediction accuracy of 99.71%,substantially higher than the 89.93%accuracy reported in the related literature;the inclusion of COVID-19 data improved accuracy by 9.78%.

关键词： COVID-19 economic impact artiﬁcial intelligence sentiment analysis stock market

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

探索CD164:从疾病标志物到治疗新策略

引用

现代肿瘤医学 2025年第1期 102-108页

作者：吴薇魏金枫徐辉 abdulaziz 孙逊陈天浩邱洪斌佳木斯大学公共卫生学院佳木斯大学基础医学院

近年来，有许多动物实验及临床研究表明CD164在多种疾病中表达异常，该文系统地综述了最新研究成果，发现CD164在不同疾病中均呈现出独特的表达模式，尤其在肿瘤、免疫系统疾病、人畜共患病及其他多种疾病中扮演着关键角色。深入分析这... 详细信息

近年来，有许多动物实验及临床研究表明CD164在多种疾病中表达异常，该文系统地综述了最新研究成果，发现CD164在不同疾病中均呈现出独特的表达模式，尤其在肿瘤、免疫系统疾病、人畜共患病及其他多种疾病中扮演着关键角色。深入分析这些研究发现，CD164不仅与各疾病的发生和发展密切相关，更可能成为未来疾病诊断与治疗的新靶点。进一步探讨CD164的功能和调控机制，将有望为疾病的早期诊断、精准治疗提供新的思路和方法，进而推动其在临床实践中的应用，为患者的健康带来更大的利益。

关键词： CD164 肿瘤免疫系统疾病人畜共患病新靶点

来源：

同方期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Explainable Software Fault Localization Model: From Blackbox to Whitebox

引用

Computers, Materials & Continua 2022年第10期73卷 1463-1482页

作者： abdulaziz Alhumam Department of Computer Science College of Computer Sciences and Information TechnologyKing Faisal UniversityAl-Ahsa31982Saudi Arabia

The most resource-intensive and laborious part of debugging is finding the exact location of the fault from the more significant number of code *** of machine intelligence models has offered the effective localization of *** models can precisely locate the faulty with more than 95%accuracy,resulting in demand for trustworthy models in fault *** and trustworthiness within machine intelligencebased software models can only be achieved via explainable artificial intelligence in Fault Localization(XFL).The current study presents a model for generating counterfactual interpretations for the fault localization model’s *** system approximations and disseminated presentation of input information may be achieved by building a nonlinear neural network *** demonstrates a high level of proficiency in transfer learning,even with minimal training *** proposed XFL would make the decisionmaking transparent simultaneously without impacting the model’s *** proposed XFL ranks the software program statements based on the possible vulnerability score approximated from the training *** model’s performance is further evaluated using various metrics like the number of assessed statements,confidence level of fault localization,and TopN evaluation strategies.

关键词： Software fault localization explainable artificial intelligence statement ranking vulnerability detection

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Edge-Cloud Computing for Scheduling the Energy Consumption in Smart Grid

引用

Computer Systems Science & Engineering 2023年第7期46卷 273-286页

作者： abdulaziz Alorf Department of Electrical Engineering College of EngineeringQassim UniversityBuraydah52571Saudi Arabia

Nowadays,smart electricity grids are managed through advanced tools and *** advent of Artificial Intelligence(AI)and network technology helps to control the energy *** advanced technologies can resolve common issues such as blackouts,optimal energy generation costs,and peakhours *** this paper,the residential energy demand has been investigated and optimized to enhance the Quality of Service(QoS)to *** energy consumption is distributed throughout the day to fulfill the demand in peak ***,an Edge-Cloud computing-based model is proposed to schedule the energy demand with reward-based energy *** model gives priority to consumer preferences while planning the operation of appliances.A distributed system using non-cooperative game theory has been designed to minimize the communication overhead between the edge ***,the allotment mechanism has been designed to manage the grid appliances through the edge *** proposed model helps to improve the latency in the grid appliances scheduling process.

关键词： Edge-cloud computing smart grid smart home energy scheduling non-cooperative game theory

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Unified Computational Modelling for Healthcare Device Security Assessment

引用

Computer Systems Science & Engineering 2021年第4期37卷 1-18页

作者： Shakeel Ahmed abdulaziz Alhumam Department of Computer Science College of Computer Sciences and Information Technology King Faisal UniversityAl-Ahsa31982Kingdom of Saudi Arabia

This article evaluates the security techniques that are used to maintainthe healthcare devices, and proposes a mathematical model to list these in theorder of priority and preference. To accomplish the stated objective, the articleuses the Fuzzy Analytic Network Process (ANP) integrated with Technical forOrder Preference by Similarities to Ideal Solution (TOPSIS) to find the suitablealternatives of the security techniques for securing the healthcare devices fromtrespassing. The methodology is enlisted to rank the alternatives/ techniquesbased on their weights’ satisfaction degree. Thereafter, the ranks of the alternatives determine the order of priority for the techniques used in healthcare *** findings of our analysis cite that Machine Learning (ML) based healthcaredevices obtained the highest priority among all the other security *** the developers, manufacturers and researchers should focus on the MLtechniques for securing the healthcare devices. The results drawn through theaid of the suggested mathematical model would be a corroborative referencefor the developers and the manufacturers in assessing the security techniques ofthe healthcare devices.

关键词： Medical devices fuzzy-ANP.TOPSIS security techniques machine learning

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Estimating Usable-Security Through Hesitant Fuzzy Linguistic Term Sets Based Technique

引用

Computers, Materials & Continua 2022年第3期70卷 5683-5705页

作者： abdulaziz Attaallah Raees Ahmad Khan Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025Uttar PradeshIndia

The apparent contradiction between usability and security has been discussed in the literature for several *** continuous trade-off requires be acknowledging and handling whenever security solutions are ***,some progressive analysts point out that present security solutions are usually very difficult for several users,and they have expressed a willingness to simplify the security product user *** security is still mostly unexplored territory in computer *** we are all aware with security and usability on many levels,usable security has received little operational *** have recently focused primarily on usable *** consumers prefer to discard unsatisfactory solutions,attaining well-balanced degrees of both is a prerequisite for adequate *** should be examined from the viewpoint of security to be properly *** aim of this research study is to explore and discuss universally accepted and solutionindependent factors influencing the perceived usable-security of institutional *** integrated Hesitant Fuzzy Linguistic term sets based technique was chosen as the methodology,and the experts and academicians opinion were *** use of predetermined selection criteria resulted in the compilation of statistical findings and were used to determine the usable-security of five different instituational websites.

关键词： Usable security accessibility expert evaluation usability criteria fuzzy logic

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

A Load-Fairness Prioritization-Based Matching Technique for Cloud Task Scheduling and Resource Allocation

引用

Computer Systems Science & Engineering 2023年第6期45卷 2461-2481页

作者： abdulaziz Alhubaishy Abdulmajeed Aljuhani College of Computing and Informatics Saudi Electronic UniversityRiyadh11673Saudi Arabia College of Computer Science and Engineering Taibah UniversityMedina41411Saudi Arabia

In a cloud environment,consumers search for the best service provider that accomplishes the required tasks based on a set of criteria such as completion time and *** the other hand,Cloud Service Providers(CSPs)seek to maximize their profits by attracting and serving more consumers based on their resource *** literature has discussed the problem by considering either consumers’needs or CSPs’capabilities.A problem resides in the lack of explicit models that combine preferences of consumers with the capabilities of CSPs to provide a unified process for resource allocation and task scheduling in a more efficient *** paper proposes a model that adopts a Multi-Criteria Decision Making(MCDM)method,called Analytic Hierarchy Process(AHP),to acquire the information of consumers’preferences and service providers’capabilities to prioritize both tasks and *** model also provides a matching technique to assign each task to the best resource of a CSP while preserves the fairness of scheduling more tasks for resources with higher *** experimental results prove the feasibility of the proposed model for prioritizing hundreds of tasks/services and CSPs based on a defined set of criteria,and matching each set of tasks/services to the best CSPS.

关键词： Task scheduling decision making cloud service selection matching techniques

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：