2021 12th International Conference on Information and Communication Systems (ICICS)最新文献_第2页

Four-cycles Delay-Efficient RPL-based Routing approach For IoT applications 四周期时延高效rpl路由方法用于物联网应用

2021 12th International Conference on Information and Communication Systems (ICICS) Pub Date : 2021-05-24 DOI: 10.1109/ICICS52457.2021.9464550

Manar Al Bataineh, Tasneem Al Mallah, W. Mardini, Sahil Imtiyaz, Yaser M. Khamayseh, M. B. Yasin

引用次数: 1

Overview of the Mowjaz Multi-Topic Labelling Task Mowjaz多主题标签任务概述

2021 12th International Conference on Information and Communication Systems (ICICS) Pub Date : 2021-05-24 DOI: 10.1109/ICICS52457.2021.9464604

M. Al-Ayyoub, Haitham Seelawi, M. Zaghlol, Hussein T. Al-Natsheh, Samer Suileman, A. Fadel, Riham Badawi, Ahmed Morsy, Ibraheem Tuffaha, M. Aljarrah

引用次数: 3

Team YahyaD11 at the Mowjaz Multi-Topic Labelling Task 团队YahyaD11在Mowjaz多主题标签任务

2021 12th International Conference on Information and Communication Systems (ICICS) Pub Date : 2021-05-24 DOI: 10.1109/ICICS52457.2021.9464597

Yahya Daqour

引用次数: 0

Efficient FPGA Routing using Reinforcement Learning 使用强化学习的高效FPGA路由

2021 12th International Conference on Information and Communication Systems (ICICS) Pub Date : 2021-05-24 DOI: 10.1109/ICICS52457.2021.9464626

U. Farooq, N. ul Hasan, I. Baig, Manaf Zghaibeh

引用次数: 3

Team OmarRadi at the Mowjaz Multi-Topic Labelling Task Mowjaz多主题标签任务的OmarRadi团队

2021 12th International Conference on Information and Communication Systems (ICICS) Pub Date : 2021-05-24 DOI: 10.1109/ICICS52457.2021.9464622

Omar Radi

引用次数: 0

Team MohammadHabash at Mowjaz Multi-Topic Labelling Task Mowjaz多主题标签任务的MohammadHabash团队

2021 12th International Conference on Information and Communication Systems (ICICS) Pub Date : 2021-05-24 DOI: 10.1109/ICICS52457.2021.9464614

Mohammad Habash

引用次数: 1

Integral analysis of GRANULE and ESF block ciphers based on MILP 基于MILP的颗粒和ESF分组密码的积分分析

2021 12th International Conference on Information and Communication Systems (ICICS) Pub Date : 2021-05-24 DOI: 10.1109/ICICS52457.2021.9464620

Jun Li, Hongtao Wang, X. Qiu, Lingchen Li, Xiaonian Wu

引用次数: 1

Secrecy Outage Performance with EH and TAS for Realistic Underlay Cognitive Radio Networks Using MIMO Systems 使用MIMO系统的现实底层认知无线网络的EH和TAS保密中断性能

2021 12th International Conference on Information and Communication Systems (ICICS) Pub Date : 2021-05-24 DOI: 10.1109/ICICS52457.2021.9464627

M. Khodeir, Saja M. Alquran

{"title":"Secrecy Outage Performance with EH and TAS for Realistic Underlay Cognitive Radio Networks Using MIMO Systems","authors":"M. Khodeir, Saja M. Alquran","doi":"10.1109/ICICS52457.2021.9464627","DOIUrl":"https://doi.org/10.1109/ICICS52457.2021.9464627","url":null,"abstract":"This work studies the physical layer security performance for Multiple Input Multiple Output (MIMO) secondary nodes. The proposed model is assumed to operate in underlay Cognitive Radio Network (CRN) that contains a primary node of a single antenna with the presence of an active eavesdropper. Furthermore, Transmit Antenna Selection (TAS) scheme is applied at the secondary transmitter side which also has a suitable battery to charge the energy collected from the Radio Frequency (RF) signals broadcasted from the primary transmitter to enhance collaboratively the power and spectral efficiencies. The security performance for the secondary system is achieved where the exact closed-form phrase is derived over Nakagami-m fading channels. The mathematical results show that the security performance can be improved by increasing the number of the antennas at the source and/or the destination or by decreasing the number of the antennas at the eavesdropper. The same target can be achieved by increasing the transmit power at the source, or improving the quality of the main channel. Greater harvested energy can be obtained at the secondary transmitter by selecting proper time slot that is dedicated for energy harvesting which further improved the security performance.","PeriodicalId":421803,"journal":{"name":"2021 12th International Conference on Information and Communication Systems (ICICS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125299319","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: 5

Patient care classification using machine learning techniques 使用机器学习技术的病人护理分类

2021 12th International Conference on Information and Communication Systems (ICICS) Pub Date : 2021-05-24 DOI: 10.1109/ICICS52457.2021.9464582

Shatha Melhem, Ahmad Al-Aiad, M. Al-Ayyad

{"title":"Patient care classification using machine learning techniques","authors":"Shatha Melhem, Ahmad Al-Aiad, M. Al-Ayyad","doi":"10.1109/ICICS52457.2021.9464582","DOIUrl":"https://doi.org/10.1109/ICICS52457.2021.9464582","url":null,"abstract":"Doctors and Specialists use the lab test results of patients to classify their medical needed care into inpatient care or outpatient care, which is a time-consuming process and needs a lot of efforts from doctors to decide whether the patient needs to be in the hospital and monitored or not. In addition, the likelihood of making the wrong decision is high, thus it may endanger the patient’s life. the purpose of this study is to utilize machine learning to classify patient care into inpatient or outpatient, in order to reduce the efforts and time expanded by the doctors which reflect on the type of services provided to the patient, also this kind of studies can help in reducing the human errors that result in risks to the patient’s life and may increase the total bill of patients which led to pay significant amounts. machine-learning was utilized to build four models: Support Vector Machine, Decision Tree, Random Forest, and K-Nearest Neighbors (KNN), that could predict whether the patient should be classified as inpatient or outpatient-based on their conditions and lab test results. The best model has been chosen based on the highest accuracy, sensitivity, specificity, and precision score, and the lowest false-negative rate, and false-positive rate. (EHR) the dataset has been used which consists of patients’ laboratory test results from a private hospital in Indonesia to build these models and test them. The results show that Random Forest achieved the highest accuracy (77%), Sensitivity (65%), and Precision (72%), respectively, the model also has the lowest false-negative rate (35%), and almost the lowest false positive rate (16%).","PeriodicalId":421803,"journal":{"name":"2021 12th International Conference on Information and Communication Systems (ICICS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125928099","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

Towards a Secure Web-Based Smart Homes 迈向安全的网络智能家居

2021 12th International Conference on Information and Communication Systems (ICICS) Pub Date : 2021-05-24 DOI: 10.1109/ICICS52457.2021.9464563

Raghad Al-Syouf, Basheer Al-Duwairi, Ahmad Shatnawi

{"title":"Towards a Secure Web-Based Smart Homes","authors":"Raghad Al-Syouf, Basheer Al-Duwairi, Ahmad Shatnawi","doi":"10.1109/ICICS52457.2021.9464563","DOIUrl":"https://doi.org/10.1109/ICICS52457.2021.9464563","url":null,"abstract":"Smart-Home technology is a growing trend that allows technology to be combined into every-day living experience. However, Home automation and security threats are rated to become some of the biggest contemporary issues to tackle. Securing a smart home’s Network requires a leverage of various protocols, technologies, machines, tools, and procedures to defend data and decrease threats. In this paper, we propose a new system that will help overcome a number of attacks directed at smart home networks. The proposed system constitutes a smart-home environment, fog computing, and cloud networks, where we would apply some protocols at the base layer to support redundancy when fail-over occurs. We also apply cookie-box flow control with a very high bandwidth that aims to generate a safe 3-way handshake with a virtual web server in the fog layer to help prevent or limit DDoS SYN flooding attacks to the web-server. Besides, we conduct a query tokenization technique between the client and virtual webserver to detect any SQL injection attacks directed to the webserver. We provide the fog layer with a hash-based security system between the virtual web server and the primary one to prevent accessing sensitive data. Experimental results show that our proposed scheme produces a fully integrated security system that can protect smart-homes or any mission-critical sites by decreasing the number of attacks and malware programs that can target users while they are navigating the web.","PeriodicalId":421803,"journal":{"name":"2021 12th International Conference on Information and Communication Systems (ICICS)","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126012124","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