2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)最新文献_第2页

Bipolar SHEPWM for Pure Sine Wave Single-Phase Inverter 纯正弦波单相逆变器双极SHEPWM

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765895

Aymen Chaaira, Rabiaa Gamoudi, L. Sbita

引用次数: 1

Master-Slave Tracking of a Rigid Double-Side SDOF Impact Mechanical Oscillator Using Polyhedral Sets 基于多面体集的刚性双面SDOF冲击机械振荡器主从跟踪

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765899

Firas Turki, H. Gritli, S. Belghith

引用次数: 0

[Copyright notice] (版权)

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/ic_aset53395.2022.9765875

引用次数: 0

Harmonic Current Compensation Based on Three-phase Shunt Active Filter using Model Predictive Current Control 基于模型预测电流控制的三相并联有源滤波器谐波电流补偿

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765880

Hassen Bentaher, B. Bouaziz, F. Bacha

引用次数: 1

A Decision Support Framework based on FCM for Selecting Key Performance Indicators 基于FCM的关键绩效指标选择决策支持框架

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765915

Fadwa Oukhay, T. Romdhane

引用次数: 1

Multi criteria analysis of multi-sources photovoltaic electrical structures in isolated sites 孤立场所多源光伏电结构的多准则分析

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765888

Imen Azzouz, Inès Hammami, Kais Brik, F. B. Ammar

引用次数: 1

SVM-FL-DTC Control Induction Motor Drives Fed by Indirect Matrix Converter SVM-FL-DTC间接矩阵变换器控制异步电动机驱动

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765881

Abdessami Soyed, Abdelkarim Aouiti, O. Hasnaoui, F. Bacha

引用次数: 4

Statistical modeling for the prediction of survival rate in a neurodegenerative disease 预测神经退行性疾病存活率的统计模型

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765831

Tasnime Hamdeni, Soufiane Gasmi, M. Sayadi, J. Ginoux

引用次数: 1

A Novel Approach Exploiting Machine Learning to Detect SQLi Attacks 利用机器学习检测SQLi攻击的新方法

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765948

Ahmed Abadulla Ashlam, A. Badii, Frederic T. Stahl

{"title":"A Novel Approach Exploiting Machine Learning to Detect SQLi Attacks","authors":"Ahmed Abadulla Ashlam, A. Badii, Frederic T. Stahl","doi":"10.1109/IC_ASET53395.2022.9765948","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765948","url":null,"abstract":"The increasing use of Information Technology applications in the distributed environment is increasing security exploits. Information about vulnerabilities is also available on the open web in an unstructured format that developers can take advantage of to fix vulnerabilities in their IT applications. SQL injection (SQLi) attacks are frequently launched with the objective of exfiltration of data typically through targeting the back-end server organisations to compromise their customer databases. There have been a number of high profile attacks against large enterprises in recent years. With the ever-increasing growth of online trading, it is possible to see how SQLi attacks can continue to be one of the leading routes for cyber-attacks in the future, as indicated by findings reported in OWASP. Various machine learning and deep learning algorithms have been applied to detect and prevent these attacks. However, such preventive attempts have not limited the incidence of cyber-attacks and the resulting compromised database as reported by (CVE) repository. In this paper, the potential of using data mining approaches is pursued in order to enhance the efficacy of SQL injection safeguarding measures by reducing the false-positive rates in SQLi detection. The proposed approach uses CountVectorizer to extract features and then apply various supervised machine-learning models to automate the classification of SQLi. The model that returns the highest accuracy has been chosen among available models. Also a new model has been created PALOSDM (Performance analysis and Iterative optimisation of the SQLI Detection Model) for reducing false-positive rate and false-negative rate. The detection rate accuracy has also been improved significantly from a baseline of 94% up to 99%.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"32 1","pages":"513-517"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82609291","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

Metrological map of a fleet of equipment a metrology laboratory: application of weight method according to FDX-07-014 计量实验室一组设备的计量图:根据FDX-07-014的重量法的应用

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765894

N. Fezai, A. Jouini, Feten Slimeni, A. Amor

{"title":"Metrological map of a fleet of equipment a metrology laboratory: application of weight method according to FDX-07-014","authors":"N. Fezai, A. Jouini, Feten Slimeni, A. Amor","doi":"10.1109/IC_ASET53395.2022.9765894","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765894","url":null,"abstract":"Metrology is the science of measurement. It is applied in several fields where quantitative measurements are made. In fact, in any industrial activity (food processing, electrical energy, chemistry, mechanics, aeronautics, space, defense, agriculture, electronics) various measuring instruments are used. After a certain period of operation, their indications will be erroneous, which leads to major risks for the safety of people and industrial installations. Thus all equipment drifts over time, it is a well known phenomenon. A measuring instrument that is \"accurate\" today will not be so tomorrow because it will have drifted! The causes of drift are multiple and varied (mechanical origin: shocks and vibrations, oxidation, wear, conditions of use, aging...). This calibration interval or drift is determined either by the manufacturer or by the needs of the company or the laboratory. Historically, the periodicity is 12 months in metrology for all the instruments, this drift allows to have a management of periodicity of the equipments but sometimes the calibration will be with a high cost. Therefore, to avoid costly periodic calibrations, methods have been created to adjust and optimize calibration costs according to the criticality and use of the measuring instrument. The optimization and justification of periodicity are increasingly crucial problems over time, they are now the subject of strict guides defining the methods of calculating periodicity such as the method of max drift, the method of weight and the method OPPERET. In this paper, we will demonstrate the adequate method for a special laboratory that has a limited number of equipments according to the ISO/CEI 17025 version 2017.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"10 1","pages":"336-339"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79074108","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