检索结果-内蒙古大学图书馆

Research Square 2021年

作者： Rayan, Alanazi Taloba, Ahmed I. Department of Computer Science College of Science & Arts Jouf University Saudi Arabia Information System Department Faculty of Computers and Information Assiut University Egypt

An unsolicited means of digital communications in the internet world is the spam email, which could be sent to an individual or a group of individuals or a company. These spam emails may cause serious threat to the user i.e., the email addresses used for any online registrations may be collected by the malignant third parties (spammers) and they expose the genuine user to various kinds of attacks. Another method of spamming is by creating a temporary email register and receive emails that can be terminated after some certain amount of time. This method is well suited for misusing those temporary email addresses for sending free spam emails without revealing the spammers real account details. These attacks create major problems like theft of user credentials, lack of storage, etc. Hence it is essential to introduce an efficient detection mechanismthrough feature extraction and classification for detecting spam emails and temporary email addresses. This can be accomplished through a novel Natural Language Processing based Random Forest (NLP-RF) approach. With the help of our proposed approach, the spam emails are reduced and this method improves the accuracy of spam email filtering, since the use of NLP makes the system to detect the natural languages spoken by people and the Random Forest approach uses multiple decision trees and uses a random node for filtering the spams. © 2021, CC BY.

关键词： Electronic mail

来源：评论

学校读者我要写书评

暂无评论

Analysis of Longitudinal Data with Missing Values in the Response and Covariates Using the Stochastic EM Algorithm

arXiv

引用

arXiv 2022年

作者： Gad, Ahmed M. Darwish, Nesma M. Business Administration Department Faculty of Business Administration Economics and Political Science The British University in Egypt Cairo Egypt Management and information system Department Higher Institute of computer and information technology El_Shrouk Academy Cairo Egypt

In longitudinal data a response variable is measured over time, or under different conditions, for a cohort of individuals. In many situations all intended measurements are not available which results in missing values. If the missing value is never followed by an observed measurement, this leads to dropout pattern. The missing values could be in the response variable, the covariates or in both. The missingness mechanism is termed non-random when the probability of missingness depends on the missing value and may be on the observed values. In this case the missing values should be considered in the analysis to avoid any potential bias. The aim of this article is to employ multiple imputations (MI) to handle missing values in covariates using. The selection model is used to model longitudinal data in the presence of nonrandom dropout. The stochastic EM algorithm (SEM) is developed to obtain the model parameter estimates in addition to the estimates of the dropout model. The SEM algorithm does not provide standard errors of the estimates. We developed a Monte Carlo method to obtain the standard errors. The proposed approach performance is evaluated through a simulation study. Also, the proposed approach is applied to a real data set. Copyright © 2022, The Authors. All rights reserved.

关键词： Monte Carlo methods

来源：评论

学校读者我要写书评

暂无评论

Corrections to “A systematic Literature Review on the Security Attacks and Countermeasures Used in Graphical Passwords”

引用

IEEE Access 2024年 12卷 115775-115775页

作者： Lip Yee Por Ian Ouii Ng Yen-Lin Chen Jing Yang Chin Soon Ku Department of Computer System and Technology Faculty of Computer Science and Information Technology Universiti Malaya Kuala Lumpur Malaysia Department of Computer Science and Information Engineering National Taipei University of Technology Taipei Taiwan Department of Computer Science Universiti Tunku Abdul Rahman Kampar Malaysia

Presents corrections to the paper, A systematic Literature Review on the Security Attacks and Countermeasures Used in Graphical Passwords.

关键词： Passwords Security

来源：评论

学校读者我要写书评

暂无评论

RFID authentication scheme based on hyperelliptic curve signcryption

TechRxiv

引用

TechRxiv 2021年

作者： Ali, Usman Idris, Mohd Yamani Idna Ayub, Mohamad Nizam Ullah, Insaf Ali, Ihsan Nandy, Tarak Yahuza, Muktar Khan, Nouman Department of Computer System & Technology Faculty of Computer Science & Information Technology University of Malaya Malaysia Department of Computer Science University of Swat Saidu Sharif Swat Pakistan Department of Information Technology Hazara University Mansehra Dhodial 21120 Pakistan

The implementation of efficient security mechanisms for Radio Frequency Identification (RFID) system has always been a continuous challenge due to its limited computing resources. Previously,hash-based, symmetric-key cryptography-based and elliptic curve cryptography based security protocols were proposed for RFID system. However, these protocols are not suitable because some of them failed to fulfil the RFID security requirements, and some of them produce high computational overhead. Recently researchers have focused on developing an efficient security mechanism based on hyperelliptic curve cryptography (HECC) which provides high security with 80 bits lower-key size. In this paper, we propose an efficient RFID authentication scheme based on hyperelliptic curve Signcryption. The proposed authentication scheme provides the required security features for the RFID system as well as security from potential attacks. We validated our proposed scheme’s security by utilizing a widely used simulation tool, Automated Validation of Internet Security Protocols and Applications (AVISPA). Furthermore, the results reveal that the computational, communication and storage overheads of the proposed scheme is much less than the other recently proposed schemes. Compared to the most recently published work based on ECC Signcryption, our scheme is 70% efficient in terms of computational overhead, 42.7% efficient in terms of communication overhead, and 50% efficient in terms of storage overhead. Therefore, the proposed scheme is more efficient as compared to the recently published work in this domain. Hence, it is an attractive solution for resource-limited devices like RFID tags. © 2021, CC BY.

关键词： Radio frequency identification (RFID)

来源：评论

学校读者我要写书评

暂无评论

Attention-effective multiple instance learning on weakly stem cell colony segmentation

arXiv

引用

arXiv 2022年

作者： Yudistira, Novanto Kavitha, Muthu Subash Rajan, Jeny Kurita, Takio Intelligent System Lab Faculty of Computer Science Brawijaya University Indonesia School of Information and Data Sciences Nagasaki University Nagasaki Japan Department of Computer Science and Engineering National Institute of Technology Karnataka Surathkal India Graduate School of Advanced Science and Engineering Hiroshima University Hiroshima Japan

The detection of induced pluripotent stem cell (iPSC) colonies often needs the precise extraction of the colony features. However, existing computerized systems relied on segmentation of contours by preprocessing for classifying the colony conditions were task-extensive. To maximize the efficiency in categorizing colony conditions, we propose a multiple instance learning (MIL) in weakly supervised settings. It is designed in a single model to produce weak segmentation and classification of colonies without using finely labeled samples. As a single model, we employ a U-net-like convolution neural network (CNN) to train on binary image-level labels for MIL colonies classification. Furthermore, to specify the object of interest we used a simple post-processing method. The proposed approach is compared over conventional methods using five-fold cross-validation and receiver operating characteristic (ROC) curve. The maximum accuracy of the MIL-net is 95%, which is 15% higher than the conventional methods. Furthermore, the ability to interpret the location of the iPSC colonies based on the image level label without using a pixel-wise ground truth image is more appealing and cost-effective in colony condition recognition. © 2022, CC BY.

关键词： Learning systems

来源：评论

学校读者我要写书评

暂无评论

Image-based Freeform Handwriting Authentication with Energy-oriented Self-Supervised Learning

arXiv

引用

arXiv 2024年

作者： Wang, Jingyao Mou, Luntian Zheng, Changwen Gao, Wen The University of Chinese Academy of Sciences Beijing100049 China The National Key Laboratory of Space Integrated Information System Institute of Software Chinese Academy of Sciences Beijing100086 China Beijing Institute of Artiicial Intelligence Faculty of Information Beijing University of Technology Beijing100124 China Beijing Key Laboratory of Multimedia and Intelligent Software Technology Beijing100124 China The School of Electronics Engineering and Computer Science Peking University Beijing100871 China

Freeform handwriting authentication verifies a person’s identity from their writing style and habits in messy handwriting data. This technique has gained widespread attention in recent years as a valuable tool for various fields, e.g., fraud prevention and cultural heritage protection. However, it still remains a challenging task in reality due to three reasons: (i) severe damage, (ii) complex high-dimensional features, and (iii) lack of supervision. To address these issues, we propose SherlockNet, an energy-oriented two-branch contrastive self-supervised learning framework for robust and fast freeform handwriting authentication. It consists of four stages: (i) pre-processing: converting manuscripts into energy distributions using a novel plug-and-play energy-oriented operator to eliminate the influence of noise;(ii) generalized pre-training: learning general representation through two-branch momentum-based adaptive contrastive learning with the energy distributions, which handles the high-dimensional features and spatial dependencies of handwriting;(iii) personalized fine-tuning: calibrating the learned knowledge using a small amount of labeled data from downstream tasks;and (iv) practical application: identifying individual handwriting from scrambled, missing, or forged data efficiently and conveniently. Considering the practicality, we construct EN-HA, a novel dataset that simulates data forgery and severe damage in real applications. Finally, we conduct extensive experiments on six benchmark datasets including our EN-HA, and the results prove the robustness and efficiency of SherlockNet. We will release our code and dataset at https://***/WangJingyao07/SherlockNet. Copyright © 2024, The Authors. All rights reserved.

关键词： Self-supervised learning

来源：评论

学校读者我要写书评

暂无评论

Online Media as a Price Monitor: Text Analysis using Text Extraction Technique and Jaro-Winkler Similarity Algorithm

Online Media as a Price Monitor: Text Analysis using Text Ex...

引用

2020 International Conference on Emerging Technology in Computing, Communication and Electronics, ETCCE 2020

作者： Nurcahyawati, Vivine Mustaffa, Zuriani Faculty Technology and Informatics Universitas Dinamika Department of Information System Surabaya Indonesia Science Faculty Computing Universiti Malaysia Pahang Department of Computer Pahang Malaysia

ISBN: (纸本)9781665419628

Online media has become an essential part of everyday life in modern society. Everyone or organization is free to share their opinions and feelings about any topic on it, including information or news about commodity price fluctuations. Commodity price data from the National Strategic Price information Center (NSPIC) website is not real-time, so it is not sufficient as a basis for monitoring commodity price fluctuations. Meanwhile, the government needs to collect data and infor-mation quickly about these price fluctuations, hence immediately strategic decisions and policies can be made to stabilize the prices. This study explores the potential function of online media by extracting the text in it and analyzing text so that it can display the commodity price data sought. The commodities used as search keywords were com-modities that had the highest consumption level in 2016 in Indonesia. The texts analyzed were taken from three online media, namely Twit-ter, ***, and ***. It was analyzed using text extraction techniques and the application of the Jaro-Winkler algorithm to find commodity prices in the text collection. Then compare the results of text analysis with commodity prices from the NSPIC website. The experimental data were 99,007 with a data collection time of three months. From only 122 data that match the keywords, it consists of 100 training data and 22 testing data. The results of the text analysis show that the text from the *** website shows the commodity prices closest to the price data from the NSPIC, while Twitter shows the farthest results. The accuracy test with the confusion matrix is 75%. Based on this research, online media texts are a viable source for moni-toring commodity price fluctuations. © 2020 IEEE.

关键词： Text processing

来源：评论

学校读者我要写书评

暂无评论

Acceptance of Virtual Campus Tour Using the TAM Approach: a Case Study in UPN Veteran Jawa Timur, Indonesia

Acceptance of Virtual Campus Tour Using the TAM Approach: a ...

引用

information Technology International Seminar (ITIS)

作者： Tri Lathif Mardhi Suryanto Efri Kusuma Dian Ningtias Eristya Maya Safitri Nur Cahyo Wibowo Asif Faroqi Arista Pratama Department of Information System Faculty of Computer Science University of Pembangunan Nasional &#x201C Veteran&#x201D Jawa Timur Surabaya Indonesia

ISBN: (纸本)9781665408080

Various policies regarding the application of information and communication technology are one form of effort to realize efficient and effective information delivery, one of the institutions or agencies that implement information and communication technology policies is an educational institution. When technology is developing, especially communication technology along with the presence of the COVID-19 Pandemic. In this regard, to provide the best information is also felt by the National Development University “Veteran” East Java in introducing the situation and condition of the campus by implementing a Virtual Campus Tour. The purpose of this study was to determine the factors that influence the acceptance of the virtual tour of UPN “Veteran” Jawa Timur based on the Technology Acceptance Model (TAM) model. This study uses proportionate stratified random sampling with a total of 266 respondents who are active students at UPN “Veteran” Jawa Timur. Based on the results of the analysis, it was found that the factors that influence user behavior in using the virtual tour of UPN “Veteran” Jawa Timur on an ongoing basis are factors of perceived usefulness, perceived ease of use, attitude toward using, and usability with significant results on the intention to use the UPN “Veteran” Jawa Timur virtual tour. While the factor that most influences the behavior of users to accept Virtual Tour of UPN “Veteran” Jawa Timur is the usability factor, this is because usability has the largest path coefficient value, which is 0.714 compared to other variables.

关键词： Seminars COVID-19 Java Technology acceptance model Pandemics Loading Data processing

来源：评论

学校读者我要写书评

暂无评论

Service Quality Analysis of M-Health Application Satisfaction And Continual Usage

Service Quality Analysis of M-Health Application Satisfactio...

引用

information Technology International Seminar (ITIS)

作者： Arista Pratama Doddy Ridwandono Tri Lathif Mardi Suryanto Eristya Maya Safitri Asmaul Khusna Department of Information System Faculty of Computer Science University of Pembangunan Nasional &#x201C Veteran&#x201D Jawa Timur Surabaya Indonesia

ISBN: (纸本)9781665408080

Smartphone technology in health is critical, especially in improving health services quality and quality. The use of smartphone technology in health services is called Mobile Health (M-Health). The application of M-health is one solution to improve the quality of public health services. The application of M-Health will make it easier for users to obtain health information and services. JKN Mobile is an M-Health application that provides health insurance services managed by the Indonesian government. The JKN Mobile application has several features such as documentation of medical records, viewing the number of bills to be paid, updating participant data, and conducting online doctor consultations. This study aims to analyze the service quality factors that affect satisfaction and continuous use of the JKN Mobile Application using the Service Quality of M-Health Model. This study uses quantitative methods by analyzing data using Structural Equation Modeling (SEM) involving 100 respondents using the JKN Mobile Application. The results showed that the variables of interaction quality and information quality as dimensions of service quality significantly influenced user satisfaction. information quality has a significant influence on sustainable use. Monetary cost does not significantly affect user satisfaction and continuous use of the JKN Mobile Application.

关键词： Seminars Q-factor Analytical models Costs Numerical analysis Insurance Mathematical models

来源：评论

学校读者我要写书评

暂无评论

How is HCI taught, practiced, and supported in Malaysia? 22

How is HCI taught, practiced, and supported in Malaysia?

引用

Asian HCI Symposium'22

作者： Masitah Ghazali Ashok Sivaji Juliana Aida Abu Bakar Chui Yin Wong Noris Mohd Norowi School of Computing Universiti Teknologi Malaysia Malaysia MIMOS Technology Solutions Sdn Bhd Malaysia School of Creative Industry Management & Performing Arts Universiti Utara Malaysia Malaysia Intel Corporation Malaysia Multimedia Department Faculty of Computer Science and Information Technology Universiti Putra Malaysia Malaysia

ISBN: (纸本)9781450392501

This paper aims to describe how Human-computer Interaction (HCI) is taught at academic and also how UI-UX is practiced in industry in Malaysia by a group of panelists from HCI academic and also industry UX practitioners from Malaysia. In addition, the authors also briefly describe how HCI and UI-UX is supported at the National Fourth Industrial Revolution (4IR) Policy in Malaysia. This workshop paper is presented at SEACHI 2022: International Southeast Asia CHI 2022 Workshop as part of the ACM CHI2022 conference.

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：