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

Predicting the Suitability of IT Students' Skills for the Recruitment in Saudi Labor Market 预测IT学生技能在沙特劳动力市场招聘中的适用性

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769577

Munirah Alghamlas, Reham Alabduljabbar

引用次数: 11

Wideband Rotman Lens Beamforming Technique for 5G Wireless Applications 5G无线应用的宽带罗特曼透镜波束形成技术

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769475

Mohamed A. M. Hassanien, R. Hahnel, D. Plettemeier

引用次数: 5

The Modeling of the Quranic Alphabets' Correct Pronunciation for Adults and Children Experts 《古兰经》字母正确读音的成人与儿童专家建模

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769590

Salmiah Ahmad, Syarifah N. S. Badruddin, N. Hashim, A. H. Embong, Tareq Altalmas, Surul S. Hasan

引用次数: 1

Deep Neural Network Based Mobile Dermoscopy Application for Triaging Skin Cancer Detection 基于深度神经网络的移动皮肤镜在皮肤癌分诊检测中的应用

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769517

A. Ech-Cherif, Mohammed Misbhauddin, M. Ech-Cherif

{"title":"Deep Neural Network Based Mobile Dermoscopy Application for Triaging Skin Cancer Detection","authors":"A. Ech-Cherif, Mohammed Misbhauddin, M. Ech-Cherif","doi":"10.1109/CAIS.2019.8769517","DOIUrl":"https://doi.org/10.1109/CAIS.2019.8769517","url":null,"abstract":"Mobile teledermoscopy is an area that enables patients to get an early detection for suspicious lesions using their mobile phones and hence creating a patient-centric health management. Due to the inherent variability in the appearance of skin lesions, detection of skin cancer from dermoscopic images is a difficult task even for medical experts. Recent advancements in image processing using Deep Convolutional Neural Networks (CNN) have led numerous researchers to use them for skin lesion classification which concluded that CNN performed on par with expert dermatologists. In this paper, we used a dataset of 48,373 dermoscopic images collected from three different archives labelled and validated by expert dermatologists. In our work, we manually trained a resource constrained CNN model called MobileNetV2 using transfer learning for binary classification of skin lesions into benign or malignant classes. Using batch size of 32, the trained model resulted in an overall accuracy of 91.33%. The trained model was then used to develop a mobile application for iOS devices using the Core ML library. The mobile application was then tested on a new dataset to assess its performance on an unseen library of images.","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":"130905754","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: 40

Exploiting UAV as NOMA based Relay for Coverage Extension 利用无人机作为基于NOMA的覆盖扩展中继

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769542

Syeda Kanwal Zaidi, S. F. Hasan, X. Gui, Nazmul H. Siddique, Salmiah Ahmad

引用次数: 14

Threats Against the Virtual Machine Environment of NFV NFV虚拟机环境的威胁

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769561

A. Alnaim, A. Alwakeel, E. Fernández

引用次数: 3

Image Assistant Tools for Extracting, Detecting, Searching Images and Texts 图像辅助工具提取，检测，搜索图像和文本

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769582

A. Jamal, Latifa Aljiffry, Noora Alhindi, Raghdah Nahhas, Somayh Al-Amoudi

引用次数: 2

Quantum Cryptography on IBM QX IBM QX上的量子密码学

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769567

Dhoha AL-Mubayedh, Mashael Alkhalis, Ghadeer AL-Azman, Manal AL-Abdali, Malak AIFosail, Naya Nagy

{"title":"Quantum Cryptography on IBM QX","authors":"Dhoha AL-Mubayedh, Mashael Alkhalis, Ghadeer AL-Azman, Manal AL-Abdali, Malak AIFosail, Naya Nagy","doi":"10.1109/CAIS.2019.8769567","DOIUrl":"https://doi.org/10.1109/CAIS.2019.8769567","url":null,"abstract":"Due to the importance of securing electronic transactions, many cryptographic protocols have been employed, that mainly depend on distributed keys between the intended parties. In classical computers, the security of these protocols depends on the mathematical complexity of the encoding functions and on the length of the key. However, the existing classical algorithms 100% breakable with enough computational power, which can be provided by quantum machines. Moving to quantum computation, the field of security shifts into a new area of cryptographic solutions which is now the field of quantum cryptography. The era of quantum computers is at its beginning. There are few practical implementations and evaluations of quantum protocols. Therefore, the paper defines a well-known quantum key distribution protocol which is BB84 then provides a practical implementation of it on IBM QX software. The practical implementations showed that there were differences between BB84 theoretical expected results and the practical implementation results. Due to this, the paper provides a statistical analysis of the experiments by comparing the standard deviation of the results. Using the BB84 protocol the existence of a third-party eavesdropper can be detected. Thus, calculations of the probability of detecting/not detecting a third-party eavesdropping have been provided. These values are again compared to the theoretical expectation. The calculations showed that with the greater number of qubits, the percentage of detecting eavesdropper will be higher.","PeriodicalId":220129,"journal":{"name":"2019 2nd International Conference on Computer Applications & Information Security (ICCAIS)","volume":"55 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":"117027434","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: 7

Implementation of QoE Model Based on Pixel Density 基于像素密度的QoE模型实现

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769444

Abubkr Elmnsi, Fahad Mira, N. Osman, I. Mkwawa

引用次数: 0

A DWT-Band power-SVM Based Architecture for Neurological Brain Disorders Diagnosis Using EEG Signals 基于dwt波段功率支持向量机的脑电信号神经系统疾病诊断

2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) Pub Date : 2019-05-01 DOI: 10.1109/CAIS.2019.8769492

F. Alturki, Khalil Alsharabi, Majid Aljalal, Akram M. Abdurraqeeb

引用次数: 7