Proceedings of the 4th International Conference on Networking, Information Systems & Security最新文献_第5页

SeqVectorizer: Sequence Representation in Vector Space SeqVectorizer:向量空间中的序列表示

Proceedings of the 4th International Conference on Networking, Information Systems & Security Pub Date : 2021-04-01 DOI: 10.1145/3454127.3456602

Md. Kowsher, Avishek Das, Md. Murad Hossain Sarker, A. Tahabilder, Md. Zahidul Islam Sanjid

引用次数: 0

A New 2x2MIMO Trapezoidal Shaped Antenna with High Gain and Wide Bandwidth for 37-40GHz Millimeter Wave Applications 用于37-40GHz毫米波应用的新型2x2MIMO高增益宽频带梯形天线

Proceedings of the 4th International Conference on Networking, Information Systems & Security Pub Date : 2021-04-01 DOI: 10.1145/3454127.3456584

Asma Khabba, Sanaa Errahili, S. Ibnyaich, A. Zeroual

引用次数: 2

APPROACH OF DIGITAL DEVICES DIAGNOSTIC ON THE BASIS OF FUZZY LOGIC 基于模糊逻辑的数字设备诊断方法

Proceedings of the 4th International Conference on Networking, Information Systems & Security Pub Date : 2021-04-01 DOI: 10.1145/3454127.3456570

D. Bystrov

引用次数: 0

Build a malware detection software for IOT network Using Machine learning 利用机器学习为物联网网络构建恶意软件检测软件

Proceedings of the 4th International Conference on Networking, Information Systems & Security Pub Date : 2021-04-01 DOI: 10.1145/3454127.3458773

Somaya Haiba, T. Mazri

{"title":"Build a malware detection software for IOT network Using Machine learning","authors":"Somaya Haiba, T. Mazri","doi":"10.1145/3454127.3458773","DOIUrl":"https://doi.org/10.1145/3454127.3458773","url":null,"abstract":"Any system based on IOT devices must provide a reliable and secure network to transmit and manipulate the data from the smallest technologies to the final server. They are the devices of nowadays, and our future for sure, it will convert all domains of our live starting from the smart home, industry, to e-healthcare systems. To achieve the quality of performances we should have an assurance of security and trustworthiness beginning by the small device used to capture information to the final terminal of the network system, using all the exist possibilities that we can implement to ensure a secure employment. Until now, machine learning become the most powerful application, which provides for any systems the capacity of auto-learning, and improving itself taking a help from the old experiences and without any human intervention or being explicit programmed. Furthermore, the usage of IOT networks, as we know is growing and evaluate enormously so the menaces keep up to date exploiting the weakness of these tools. For that, we propose to make a look about, What machine learning is coming with, to perform more security and analyses the threats, and how can it be used to detect any endanger before it can gain control. Knowing that the reproducible use of resource-constrained IOT devices, the number of IOT Malwares has exploded variously with many ways of breakthrough and then the requirement, to have an efficient malware detection adequate with this grown-up is on immense increasing importance. In this paper, we discuss the usability of machine learning applications in malwares detection software for IOT networks to elicitation the standards, which can us, use to build a powerful model to improve the network security of this small technologies answering to pervious questions.","PeriodicalId":432206,"journal":{"name":"Proceedings of the 4th International Conference on Networking, Information Systems & Security","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125525605","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: 3

Data-based automatic Covid-19 rumors detection in social networks 基于数据的社交网络Covid-19谣言自动检测

Proceedings of the 4th International Conference on Networking, Information Systems & Security Pub Date : 2021-04-01 DOI: 10.1145/3454127.3456622

B. Bamiro, I. Assayad

引用次数: 1

An Improved Lossy-Encryption System for Still-Image Data Based on the Quaternion Multiplication and Robust Chaos 基于四元数乘法和鲁棒混沌的改进静态图像数据有损加密系统

Proceedings of the 4th International Conference on Networking, Information Systems & Security Pub Date : 2021-04-01 DOI: 10.1145/3454127.3456572

Imad El Hanouti, Hakim El Fadili, Mohamed Boussif

引用次数: 1

Comparative study of data preparation methods in quantum clustering algorithms 量子聚类算法中数据准备方法的比较研究

Proceedings of the 4th International Conference on Networking, Information Systems & Security Pub Date : 2021-04-01 DOI: 10.1145/3454127.3456607

Oumayma Ouedrhiri, Oumayma Banouar, S. Raghay, S. E. Hadaj

引用次数: 0

A cloud computing based intelligent traffic control system for vehicular networks 基于云计算的车联网智能交通控制系统

Proceedings of the 4th International Conference on Networking, Information Systems & Security Pub Date : 2021-04-01 DOI: 10.1145/3454127.3456600

Nihal Gaouar, M. Lehsaini

{"title":"A cloud computing based intelligent traffic control system for vehicular networks","authors":"Nihal Gaouar, M. Lehsaini","doi":"10.1145/3454127.3456600","DOIUrl":"https://doi.org/10.1145/3454127.3456600","url":null,"abstract":"The number of vehicles on the road increases permanently causing more and more traffic jam and congestion which results in a lot of delay in arriving at destination. Intelligent transport systems (ITS) have merged as an efficient way to overcome particularly this kind of problem in vehicular networks (VANETs) and improve performance of transportation systems. One of the solutions is to put intelligent traffic lights at each intersection of high vehicle density. In this paper, we propose a cloud computing based intelligent traffic light control algorithm, called CITLA. This algorithm aims to schedule the traffic by switching the phases of the traffic lights dynamically according to the state of the road in real time based on the conventional cloud. The Cloud has a global view on the road network since it is responsible for collecting road information via the RSUs placed on each street corner. It commutes thereafter, based on the information collected, the density of each road so as to minimize the waiting time and congestion on the roads. The results of these calculations are transmitted in real time to the RSUs which are responsible for controlling the traffic lights by changing the phases. The feasibility of CITLA was demonstrated through simulations using the discrete event simulator OMNeT++ with Simulation of Urban Mobility (SUMO).","PeriodicalId":432206,"journal":{"name":"Proceedings of the 4th International Conference on Networking, Information Systems & Security","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116741829","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

A holistic nonlinear framework for developing a national eHealth vision based on Moroccan experience 基于摩洛哥经验制定国家电子卫生愿景的整体非线性框架

Proceedings of the 4th International Conference on Networking, Information Systems & Security Pub Date : 2021-04-01 DOI: 10.1145/3454127.3457635

Houda Fakhkhari, B. Bounabat, Zineb Gaizi, Soumaya Fatemi, M. Bennani, R. Bekkali

引用次数: 1

X-ray image classification using Deep Learning method for Covid-19 diagnostic 基于深度学习方法的新冠肺炎诊断x射线图像分类

Proceedings of the 4th International Conference on Networking, Information Systems & Security Pub Date : 2021-04-01 DOI: 10.1145/3454127.3460796

Samira Achki, A. Gourari, Layla Aziz

引用次数: 1