2019 2nd International Conference on Computer Applications & Information Security (ICCAIS)最新文献_第10页

Developing Soft-Beacon as a Service Based on Online-Offline Positioning 基于线上-线下定位的软信标服务开发

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769496

A. Al-Sahly, Majed Al–Rubaian, Muhammad Al-Qurishi

{"title":"Developing Soft-Beacon as a Service Based on Online-Offline Positioning","authors":"A. Al-Sahly, Majed Al–Rubaian, Muhammad Al-Qurishi","doi":"10.1109/CAIS.2019.8769496","DOIUrl":"https://doi.org/10.1109/CAIS.2019.8769496","url":null,"abstract":"The evolution of technology in recent times has been directed towards greater integration of functions related to a wide range of user needs. In this complex environment, access to accurate and up-to-date data is of paramount importance for successful completion of various tasks. As the networks evolve to the Internet of Things (IoT) level, data is being collected directly by various sensors from a wide variety of locations. This triggers additional complexity in terms of initializing, managing and maintaining a large number of sensors, necessitating a large and coordinated effort that could be costly for some organizations. In this work, we present an alternative method for implementation of sensing technology that can be described as Soft-Beacon-as-a-Service, which eliminates the need to use physical devices for this purpose. Instead, this method relies on the analysis of online and offline maps to monitor open spaces, while IMU units and angular movement and distance calculations are used to gather accurate location data about indoor environments. The development of this technique was primarily intended to benefit the scientific and business organizations by providing a simple and inexpensive way to acquire and analyze data based on the activity of this beacon.","PeriodicalId":220129,"journal":{"name":"2019 2nd International Conference on Computer Applications & Information Security (ICCAIS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127055847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Enhancement of Moodle learning Management System Regarding Quizzes Security and Stability Problems 针对试题安全性和稳定性问题的Moodle学习管理系统改进

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769530

Azza Yousif Elmaghrabi, S. Eljack

引用次数: 5

Network Monitoring Enhancement based on Mathematical Modeling 基于数学建模的网络监控增强

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769583

L. K. B. Melhim, M. Jemmali, Mafawez T. Alharbi

引用次数: 6

IDSS: An Intelligent Decision Support System for Breast Cancer Diagnosis 乳腺癌诊断的智能决策支持系统

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769579

Hussain Alsalman, Najiah Almutairi

{"title":"IDSS: An Intelligent Decision Support System for Breast Cancer Diagnosis","authors":"Hussain Alsalman, Najiah Almutairi","doi":"10.1109/CAIS.2019.8769579","DOIUrl":"https://doi.org/10.1109/CAIS.2019.8769579","url":null,"abstract":"Breast cancer is a critical disease that affects a large number of females around the world. Early detection of breast cancer is an effective step for increasing the rate of survival. There are several computerized systems used for breast cancer classification and diagnosis. However, these systems are still required a considerable improvement to be more effective and accurate tools. In this paper, we develop an intelligent decision support system (IDSS) for breast cancer diagnosis. The developed IDSS consists of four main stages are preprocessing, segmentation, feature extraction, and classification. In the preprocessing stage, we processed the breast images to eliminate the noise and artefacts. In the segmentation stage, the region of interests (ROIs) are segmented from the mammogram images using K-means algorithm. After that, the discriminative features are extracted from the ROIs through the feature extraction stage using the discrete wavelet transform (DWT) and gray level co-occurrence matrix (GLCM) method. In the classification stage, the extracted features of breast tumor are classified into three classes, which are normal, malignant, or benign, by using the artificial neural network (ANN). The public dataset collected by the Mammographic Image Analysis Society (MIAS) is used for evaluation. The experimental results demonstrated that the IDSS is able to achieve 96.563% of average accuracy using to-folds cross-validation technique.","PeriodicalId":220129,"journal":{"name":"2019 2nd International Conference on Computer Applications & Information Security (ICCAIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132741592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

A Review On Live Remote Face Recognition and Access Provision Schemes 实时远程人脸识别及接入方案综述

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769480

Haifa Al-Omar, Rouqaiah Al-Refai, Cady Alnafea, M. Al-ghuwainim, N. Saqib, Malak Alfosail

{"title":"A Review On Live Remote Face Recognition and Access Provision Schemes","authors":"Haifa Al-Omar, Rouqaiah Al-Refai, Cady Alnafea, M. Al-ghuwainim, N. Saqib, Malak Alfosail","doi":"10.1109/CAIS.2019.8769480","DOIUrl":"https://doi.org/10.1109/CAIS.2019.8769480","url":null,"abstract":"The continuously increasing number of attacks on authentication systems occur due to the dependency on weak security mechanisms and approaches, so live biometric systems should be utilized. Especially since they are an approved base of trustworthy authentication. Password based authentication systems offer numerous benefits and they are common in application. However, they need to be memorized and are a prey to dictionary, password guessing, and password resetting attacks by the attackers. Biometric based authentication mechanisms prove an alternative; as they do not need a user to memorize and are difficult to duplicate since they need physical presence of the end users. But due to the constant increase of number of attacks, an attacker has the capability to deceive the system by proving fake or previously recorded biometric features. Liveness detection while acquiring biometric authentication enables setting a limit to the attacks occurring. It is an innovative method that will be constantly authenticating and monitoring the subject user after a specific duration of time to validate the user identity. The performance of this mechanism is intended to be a trustworthy solution for this issue. In this paper, various facial recognition schemes that are used to improve effectiveness of resulting authentication systems will be reviewed.","PeriodicalId":220129,"journal":{"name":"2019 2nd International Conference on Computer Applications & Information Security (ICCAIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131064867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Backstepping Terminal Sliding Mode Control of Chaotic Duffing Oscillators 混沌Duffing振荡器的反步末端滑模控制

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769484

Mohammed A. Alghassab

引用次数: 0

An Equivalent Resonance Model of Frequency Agile Quasi-Lumped Antenna 频率捷变准集总天线的等效共振模型

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769591

Y. Qasaymeh, A. Almuhaisen, Khaled Issa

引用次数: 0

Analysis of network issues and their impact on Cloud Storage 分析网络问题及其对云存储的影响

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769585

Irfan Mohiuddin, Ahmad S. Almogren, Majed Alrubaian, Muhammad Al-Qurishi

引用次数: 5

Performance Evaluation and Review of Lightweight Cryptography in an Internet-of-Things Environment 物联网环境下轻量级加密的性能评估与回顾

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769509

Abdurrahman Beg, Talal Al-Kharobi, A. Al-Nasser

引用次数: 5

Easy Clinic: Smart Sensing Application in Healthcare 轻松诊所:智能传感在医疗保健中的应用

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769535

Areej Almazroa, Felwah Alsalman, Jory Alsehaibani, Nada Alkhateeb, Sarah AlSugeir

引用次数: 6