检索结果-内蒙古大学图书馆

Internet of Things (IoT): survey of most important security risks 3

Internet of Things (IoT): survey of most important security ...

3rd IEEE International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and computer engineering, MI-STA 2023

作者： Alaskri, Ahmed Salem Ahmed, Nuredin Ali Shaari, Hala Collage of Computer Technology Software Engineering Dep. Tripoli Libya Faculty of Engineering Computer Engineering Department Tripoli Libya Faculty of Information Web Technologies Department Tripoli Libya

ISBN: (纸本)9798350319897

The Internet of things (IoT) is getting more and more intrusive into our lives until the day comes when everything becomes connected to the Internet. Due to the limited resources and heterogeneous Internet of Things (IoT) devices, the traditional means of protection are useless and cannot be used to protect these devices. The most important security risks, their causes and the consequences of their occurrence have been listed, scheduled and categorized. The study concluded that there are real security risks that cannot be ignored, and they need to find innovative solutions to eliminate them or reduce their damage to a minimum. This paper showed the main risks addressed in previews research, and outlined the gaps in this field of technology, also producing a brief summary information about the most important solution to avoid many threats against the IoT field. © 2023 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

SmartDetect: Safe Driving by Detecting Steering-Wheel Handling With a Single Smartwatch

引用

IEEE Sensors Journal 2024年第10期24卷 16325-16335页

作者： Mardi Putri, Rekyan Regasari Chang, Chin-Chun Putra, Aditya Fitri Hananta Pamungkas, Setyan Liang, Deron National Central University Department of Computer Science and Information Engineering Taoyuan City32001 Taiwan Brawijaya University Department of Informatics Engineering Malang65145 Indonesia National Taiwan Ocean University Department of Computer Science and Engineering Keelung City20224 Taiwan Astral Web Taipei City234-011 Taiwan Pahamify Bogor16128 Indonesia Nomura Research Institute Indonesia Jakarta10220 Indonesia

Holding the steering wheel with both hands is essential for safe driving. This article proposes a novel approach using only one off-the-shelf smartwatch to determine whether the driver is holding the steering wheel with both hands. Two classification models, namely, the individual and universal models, are proposed. An individual model focuses on a particular driver, while the universal model is applicable to all drivers. Both models extract vibration features from the watch's accelerometer signals using the Hilbert-Huang transform and classify the signal pattern by using support vector machines with a radial basis function kernel. Data samples were collected from 35 drivers. The universal model can achieve an accuracy of 98.51% for the hand on which a smartwatch is worn and 90.29% for the hand on which the smartwatch is not worn;the individual model achieves a higher accuracy of 99.21% for the hand on which a smartwatch is worn and 97.18% for the hand on which the smartwatch is not worn. © 2001-2012 IEEE.

关键词： Accelerometers

来源：评论

学校读者我要写书评

暂无评论

GDPR-Compliant Personal Health Record Sharing Mechanism with Redactable Blockchain and Revocable IPFS

引用

IEEE Transactions on Dependable and Secure Computing 2024年第4期21卷 3342-3356页

作者： Yeh, Lo-Yao Hsu, Wan-Hsin Shen, Chih-Ya National Central University Department of Information Management Taoyuan320 Taiwan National Yang Ming Chiao Tung University Institute of Computer Science and Engineering Hsinchu30010 Taiwan Amber Group Web3 Security Team Singapore National Tsing Hua University Department of Computer Science Hsinchu300 Taiwan

The use of IoT technology in collecting personal health records (PHR) within the eHealth environment is a growing trend. However, data integrity is a concern as cloud service providers (CSPs) often cannot guarantee it. Blockchain technology offers a solution to guarantee data integrity and traceability. However, the immutability of traditional blockchain conflicts with GDPR's requirements. To address scalability and privacy concerns, we have designed a comprehensive scheme that integrates the redactable blockchain with the existing revocable IPFS mechanism. Our scheme overcomes the disadvantage of residual downloading information in the traditional blockchain. Additionally, we have developed an enhanced proxy re-encryption scheme that simplifies access control for physicians without the need for complex group key management. Unlike traditional blockchains and P2P file sharing systems, our PHR platform allows for selective removal of records and files while maintaining auditable logs. Evaluation results demonstrate that our proposed scheme effectively enhances the exclusive revocation feature with acceptable overheads. To the best of our knowledge, this is the first work to provide the merit of fully complete record and file revocation on a blockchain-based system. © 2023 IEEE.

关键词： Hash functions

来源：评论

学校读者我要写书评

暂无评论

Enhancing Explainable Matrix Factorization with Tags for Multi-Style Explanations 15

Enhancing Explainable Matrix Factorization with Tags for Mul...

引用

15th International Conference on Knowledge Discovery and information Retrieval, KDIR 2023 as part of the 15th International Joint Conference on Knowledge Discovery, Knowledge engineering and Knowledge Management, IC3K 2023

作者： Seton, Olurotimi Haghighi, Pegah Sagheb Alshammari, Mohammed Nasraoui, Olfa Knowledge Discovery and Web Mining Lab Computer Science and Engineering Dept University of Louisville United States Department of Computer Science Faculty of Computing and Information Technology Northern Border University Arar Saudi Arabia

ISBN: (纸本)9789897586712

Black-box AI models tend to be more accurate but less transparent and scrutable than white-box models. This poses a limitation for recommender systems that rely on black-box models, such as Matrix Factorization (MF). Explainable Matrix Factorization (EMF) models are "explainable" extensions of Matrix Factorization, a state of the art technique widely used due to its flexibility in learning from sparse data and accuracy. EMF can incorporate explanations derived, by design, from user or item neighborhood graphs, among others, into the model training process, thereby making their recommendations explainable. So far, an EMF model can learn a model that produces only one explanation style, and this in turn limits the number of recommendations with computable explanation scores. In this paper, we propose a framework for EMFs with multiple styles of explanation, based on ratings and tags, by incorporating EMF algorithms that use scores derived from tag-centric graphs to connect rating neighborhood-based EMF techniques to tag-based explanations. We used precalculated explainability scores that have been previously validated in user studies that evaluated user satisfaction with each style individually. Our evaluation experiments show that our proposed methods provide accurate recommendations while providing multiple explanation styles, without sacrificing the accuracy of the recommendations. Copyright © 2023 by SCITEPRESS - Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)

关键词： Matrix algebra

来源：评论

学校读者我要写书评

暂无评论

Explorotron: An IDE Extension for Guided and Independent Code Exploration and Learning (Discussion Paper) 23

Explorotron: An IDE Extension for Guided and Independent Cod...

引用

Proceedings of the 23rd Koli Calling International Conference on Computing Education Research

作者： Yoshi Malaise Beat Signer Department of Computer Science / Web & Information Systems Engineering lab Vrije Universiteit Brussel Belgium

ISBN: (纸本)9798400716539

We introduce the Explorotron Visual Studio Code extension for guided and independent code exploration and learning. Explorotron is a continuation of earlier work to explore how we can enable small organisations with limited resources to provide pedagogically sound learning experiences in programming. We situate Explorotron in the field of Computing Education Research (CER) and envision it to initiate a discussion around different topics, including how to balance the optimisation between the researcher-student-teacher trifecta that is inherent in CER, how to ethically and responsibly use large language models (LLMs) in the independent learning and exploration by students, and how to define better learning sessions over coding content that students obtained on their own. We further reflect on the question raised by Begel and Ko whether technology should “structure learning for learners” or whether learners should “be taught how to structure their own independent learning” outside of the classroom.

关键词： PRIMM Programming Education Study Lenses

来源：评论

学校读者我要写书评

暂无评论

Enhancing Cloud Security Implementing AI-Based Intrusion Detection Systems 1

Enhancing Cloud Security Implementing AI-Based Intrusion Det...

引用

1st International Conference on Advances in computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Santharam, Vinoth Thoguluva Yallamelli, Akhil Raj Gaius Altemimi, Mohammed Alaa H. Arunachalam, Mahesh Prabu Rudrank, Shukla Ghule, Gauri Data Analytics Organization-Comcast Chennai India Amazon Web Services Inc Seattle United States Al-Khwarizmi College of Engineering The University of Baghdad Department of Information and Communication Engineering Baghdad Iraq Department of Information Technology and Computer Science AustinTX United States Kalasalingam Academy of Research and Education Deemed to be University Tamilnadu India Department of E and TC Pune India

ISBN: (纸本)9798331518578

The increasing complexity of assaults necessitates the use of innovative intrusion detection systems (IDS) to safeguard critical assets and data. There is a higher risk of cyberattacks like data breaches and unauthorised access since cloud services have been used more frequently. The project's goal is to find out how Artificial Intelligence (AI) could enhance the IDS's ability to identify and classify network traffic and identify anomalous activities. Online dangers could be identified with IDS. An intrusion detection system, or IDS, is required to keep networks secure. We must create efficient IDS for the cloud platform as well, since it is constantly growing and permeating more aspects of our daily life. However, using standard intrusion detection systems in the cloud may provide challenges. The pre-established IDS design may overburden a cloud segment due to the additional detection overhead. Within the framework of an adaptively designed networked system. We demonstrate how to fully use available resources without placing undue load on any one cloud server using an intrusion detection system (IDS) based on neural networks. To even more successfully detect new threats, the suggested IDS make use of neural network machine learning (ML). © 2025 IEEE.

关键词： Network intrusion

来源：评论

学校读者我要写书评

暂无评论

Technology acceptance model (TAM) for mobile durian plantation apps(Pro Durian);The analysis for Malaysian farmers 5

Technology acceptance model (TAM) for mobile durian plantati...

引用

5th International Congress on Human-computer Interaction, Optimization and Robotic Applications, HORA 2023

作者： Kamarudin, Noraziahtulhidayu Yusoff, Aiman Basari, Abd Samad Hasan Safar, Noor Zuraidin Bin Mohd Hussin, Mohd Hatta Universiti Tun Hussein Onn Multimedia and Signal Processing Focus Group Faculty of Computer Science and Information Department of Multimedia Malaysia Universiti Tun Hussein Onn Faculty of Computer Science and Information Department of Multimedia Malaysia Universiti Tun Hussein Onn Faculty of Computer Science and Information Technology Department of Software Engineering Malaysia Universiti Tun Hussein Onn Faculty of Computer Science and Information Department of Information Security and Web Technology Malaysia Pertubuhan Peladang Senggarang Johor Darul Takzim Malaysia

ISBN: (纸本)9798350337525

During the application development process, it is important for a developer to analyze user requirements. This is crucial to the success of interactive systems and is an essential component of the design of information systems. User requirement analysis aids developers in understanding and analyzing users' needs and technology requirements. Throughout this case study, it is able to forecast the understanding, and technology acceptance, and at the same time improve the quality of work, reducing training and support costing and perennially improve customer or user satisfaction. The method of research selected is questionnaires that focused on collecting the data directly from Malaysian farmers through Google Forms as an online medium. The method was chosen because it is easy to implement and inexpensive due to the current situation of Covid-19. The questionnaire is designed with two sections where;a) includes the participant's demography to analyze information of the intended audience while b)focused on the knowledge of participants about recognition images. Results demonstrate the farmer's opinion and knowledge of the technology of image recognition in the agriculture sector. The quantitative research was undertaken using an online platform due to the Covid-19 pandemic. From the analysis, it is justified that the Technology Acceptance Model (TAM) together with the mobile farming image recognition app is useful in collecting farmers' feedback and positive results have an outcome on the challenges faced by the durian farmers. © 2023 IEEE.

关键词： Image recognition

来源：评论

学校读者我要写书评

暂无评论

Visual Traits-Based Recommendation System for Proactive Retailing in Physical Store Environment

Visual Traits-Based Recommendation System for Proactive Reta...

引用

2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023

作者： Kh'ng, Xin Yi Ooi, Boon Yaik Teoh, Sheng Kang Ooi, Boon Sheng Chen, Yen-Lin Universiti Tunku Abdul Rahman Department of Computer Science Kampar Malaysia Xilnex Web Bytes Sdn. Bhd. Penang Malaysia National Taipei University of Technology Dept. of Computer Science and Information Engineering Taipei Taiwan

ISBN: (纸本)9798350324174

A comprehensive visual traits-based recommendation system is designed for proactive retailing in a physical store environment. The proposed system utilizes computer vision algorithms to analyze various visual traits of customers, including facial features, clothing and accessories, to provide targeted product recommendations. The system does not require customers to provide any personal information, making it a less intrusive and more hassle-free approach compared to the conventional membership approach. By providing tailored product suggestions, the system offers retailers the opportunity to enhance their customers' shopping experience and increase sales. This paper provides a detailed description of the system's design and setup. © 2023 IEEE.

关键词： Recommender systems

来源：评论

学校读者我要写书评

暂无评论

Hybrid Autoregressive Integrated Moving Average and Bi-directional Gated Recurrent Unit for Time Series Forecasting 2

Hybrid Autoregressive Integrated Moving Average and Bi-direc...

引用

2nd IEEE International Conference on Data Science and Network Security, ICDSNS 2024

作者： Nelson, S. Yallamelli, Akhil Raj Gaius Alkhayyat, Ahmad Saranya, N. Naga Sowmya, M. V.S.B. Engineering College Department of Information Technology Karur India Amazon Web Services Inc Seattle United States College of Technical Engineering The Islamic University Department of Computers Techniques Engineering Najaf Iraq Saveetha College of Liberal Arts & Science Simats Department of Computer Applications Chennai India Nitte Meenakshi Institute of Technology Department of Ai & Ds Bengaluru India

ISBN: (纸本)9798350373110

Forecasting in time series is given special attention in manufacturing, containing sophisticated systems in which patterns of behavior are being recorded through time series data. But it has to be mentioned that the non-strictly linear and non-stationary processes of these predictive systems make the process much more challenging in terms of accurate forecasting. A hybrid method used for searching an appropriate function by combining the outcomes from the linear model and the nonlinear model is proposed. The developed method has three phases: (i) a linear model is used for time series (ii) a nonlinear model is used for error series and (iii) hybridization of both linear and non-linear models. Autoregressive Integrated Moving Average (ARIMA) method is used in step 1 and Bi- directional Gated Recurrent Unit (Bi-GRU) is introduced and used in step 2. By using six real-world time series, the proposed method is evaluated using performance metrics such as Mean Squared Error (MSE), Mean Absolute Percentage Error (MAPE) and Mean Absolute Error. The obtained results exposed that the proposed hybrid method outperformed than existing methods by achieving low measures with performance metrics OF 26.3 MSE, 10.3 MAE and 17.5 MAPE. © 2024 IEEE.

关键词： Autoregressive moving average model

来源：评论

学校读者我要写书评

暂无评论

Internet of Things (IoT): survey of most important security risks

Internet of Things (IoT): survey of most important security ...

引用

Sciences and Techniques of Automatic Control and computer engineering MI-STA, IEEE International Maghreb Meeting of the Conference on

作者： Ahmed Alaskri Nuredin Ali Salem Ahmed Hala Shaari Software Engineering Dep. Collage of Computer Technology Tripoli Libya Computer Engineering Department Faculty of Engineering Tripoli Libya Web Technologies Department Faculty of Information Tripoli Libya

关键词：

来源：评论

学校读者我要写书评

暂无评论

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

请选择保存的检索档案：

请选择收藏分类：

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

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

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：