2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)最新文献_第2页

Implementation and Analysis of USB based Password Stealer using PowerShell in Google Chrome and Mozilla Firefox 基于USB的密码窃取器在b谷歌Chrome和Mozilla Firefox中使用PowerShell实现与分析

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274566

Abdul Azies Muslim, Avon Budiono, A. Almaarif

{"title":"Implementation and Analysis of USB based Password Stealer using PowerShell in Google Chrome and Mozilla Firefox","authors":"Abdul Azies Muslim, Avon Budiono, A. Almaarif","doi":"10.1109/IC2IE50715.2020.9274566","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274566","url":null,"abstract":"Along with the development of the Windows operating system, browser applications to surf the internet are also growing rapidly. The most widely used browsers today are Google Chrome and Mozilla Firefox. Both browsers have a username and password management feature that makes users login to a website easily, but saving usernames and passwords in the browser is quite dangerous because the stored data can be hacked using brute force attacks or read through a program. One way to get a username and password in the browser is to use a program that can read Google Chrome and Mozilla Firefox login data from the computer’s internal storage and then show those data. In this study, an attack will be carried out by implementing Rubber Ducky using BadUSB to run the ChromePass and PasswordFox program and the PowerShell script using the Arduino Pro Micro Leonardo device as a USB Password Stealer. The results obtained from this study are the username and password on Google Chrome and Mozilla Firefox successfully obtained when the USB is connected to the target device, the average time of the attack is 14 seconds then sending it to the author’s email.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124177835","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

Assessment of Information Security Management System: A Case Study of Data Recovery Center in Ministry XYZ 信息安全管理体系评估——以某部数据恢复中心为例

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274574

Fitri Wijayanti, D. I. Sensuse, A. Putera, Andy Syahrizal

{"title":"Assessment of Information Security Management System: A Case Study of Data Recovery Center in Ministry XYZ","authors":"Fitri Wijayanti, D. I. Sensuse, A. Putera, Andy Syahrizal","doi":"10.1109/IC2IE50715.2020.9274574","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274574","url":null,"abstract":"The DRC of the Ministry XYZ has suffered from a system breach. The DRC's problem will lead to a lack of system information security, availability, and an increasing threat to the whole system of Ministry XYZ. In 2019, the KAMI Index assessment of the Ministry XYZ stated that the level of maturity and completeness of the application of ISO 27001 standards of the XYZ Ministry were at the level of fulfillment of the basic framework. There is a gap between the assessment result and the operational problem within the DRC of Ministry XYZ due to the lack of an information security management system. Therefore, this study conducts the same KAMI Index assessment within the scope of the DRC only and aims to offer a recommendation based on ISO 27001 as the basis of the KAMI Index assessment. This study used discussion, observation, and KAMI Index assessment tools for collecting data and analyze the result. The assessment result of the DRC showed that the maturity level of the ISO 27001 standard on the DRC is on the application of the basic framework. The suggested recommendations to improve the information security management system of the DRC were mostly in the aspect of the information security framework and assets management.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"115 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128394159","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

Accidental Prone Area Detection in Bangladesh using Machine Learning Model 使用机器学习模型检测孟加拉国的意外易发区域

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274581

Khan Md Hasib, Md. Imran Hossain Showrov, Anik Das

引用次数: 10

IC2IE 2020 TOC

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/ic2ie50715.2020.9274611

引用次数: 0

Implementation and Analysis of Keyboard Injection Attack using USB Devices in Windows Operating System 基于USB设备的Windows操作系统键盘注入攻击的实现与分析

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274631

Annisa Dwiayu Ramadhanty, Avon Budiono, A. Almaarif

引用次数: 3

Time-Series Outliers Detection Algorithm with Clustering Approach on Non-Linear Trends 非线性趋势聚类方法的时间序列异常点检测算法

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274644

H. Widiputra, Adele Mailangkay, Elliana Gautama

{"title":"Time-Series Outliers Detection Algorithm with Clustering Approach on Non-Linear Trends","authors":"H. Widiputra, Adele Mailangkay, Elliana Gautama","doi":"10.1109/IC2IE50715.2020.9274644","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274644","url":null,"abstract":"It has been found that the existence of outliers, particularly in time-series data, can be significantly influenced the modelling and analysis results that are conducted on the data, which is further may lead to improper decision making. Nevertheless, the task of time-series outlier detection can be quite challenging when dealing with collection of data that retain non-linear trends over time as the progression of series may shifted and would be infer as possible outliers. In this study, an algorithm for time-series outlier detection that makes use of a clustering approach on time-series data to construct a set of localized trend models that is capable to identify anomalous data in a collection of non-linear trends is proposed. Decisively, results from conducted experiments confirm that the procedure performs prompt, incremental valuation of information as soon as it becomes accessible, able to handle significant amount of data, and does not need any pre-classification of anomalies. Furthermore, trials with real-world data from insurance field confirm that the proposed method is able to correctly identify abnormal data and can be of help to increase decision making process.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115081894","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

Speech Emotion Identification Using Linear Predictive Coding and Recurrent Neural 基于线性预测编码和递归神经网络的语音情绪识别

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274629

Muhammad Yusup Zakaria, E. C. Djamal, Fikri Nugraha, Fatan Kasyidi

{"title":"Speech Emotion Identification Using Linear Predictive Coding and Recurrent Neural","authors":"Muhammad Yusup Zakaria, E. C. Djamal, Fikri Nugraha, Fatan Kasyidi","doi":"10.1109/IC2IE50715.2020.9274629","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274629","url":null,"abstract":"Social, affective communication in recent years shows significant developments, especially in the verbal understanding of emotions. Human connection naturally adjusts to their responses based on the actions of their interlocutor in a particular matter. Previous research has shown that the use of neural network architecture can identify emotions based on speech, but the results of accuracy are not good due to the imbalance of data and problems with the design of the classification system. This study uses Linear Predictive Coding (LPC). LPC can represent the pronunciation of one’s dialogue. From 16 coefficient LPC is used as a vector feature as input for voice emotion identification using Recurrent Neural Network (RNN). Long Short Term Memory (LSTM) or Gated Recurrent Unit (GRU) architecture is used to overcome vanishing or exploding gradient. At the identification stage, that uses forward propagation with a softmax activation function. We have conducted a simulation using RNN as a method for making emotional identification. The results of this study RNNGRU using Adam optimization model with a learning rate of 0.001 get an accuracy of 90.93% and a losses value of 0.216. In comparison, the RNN-LSTM got an accuracy of 87.50% and losses value of 0.262. The experimental results show that the best model is achieved when using the RNN-GRU with the Adam optimization method. The F-Measure value obtained is 0.91.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123687488","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

Brain-Computer Interface of Motor Imagery Using ICA and Recurrent Neural Networks 基于ICA和递归神经网络的运动图像脑机接口

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274681

Anita Safitri, E. C. Djamal, Fikri Nugraha

引用次数: 2

Interactive Augmented Reality For The Depth Of An Object Using The Model-Based Occlusion Method 使用基于模型的遮挡方法实现对象深度的交互式增强现实

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274565

Tonny Hidayat, Ika Asti Astuti

{"title":"Interactive Augmented Reality For The Depth Of An Object Using The Model-Based Occlusion Method","authors":"Tonny Hidayat, Ika Asti Astuti","doi":"10.1109/IC2IE50715.2020.9274565","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274565","url":null,"abstract":"The general concept in marker-based Augmented Reality is to add virtual objects in the real world using markers as object tracking. In its development AR devices can detect 3D real objects as object tracking (3D Object Tracking) so as to allow interaction between virtual objects and real objects. However, the application of AR for general devices such as Android smartphones that do not have depth sensors, virtual objects are added without having depth information from the real world so that virtual content is always displayed in front of or on top of real objects and causes Occlusion problems. Occlusion refers to the problem when real objects that are closer to the user are covered by more distant virtual objects. This research formulates the handling of the Occlusion problem using the Model-Based Occlusion method in which the geometry information of the model from real objects must be known and registered in advance to the system. To maintain the suitability of the model’s geometry information with its real object, Tracking is needed. In this case using 3D Object Tracking by utilizing real objects that have been registered in the ModelBased Occlusion. The results of this study are the virtual objects that appear can occupy the correct position in the Augmented Reality application. In this case using 3D Object Tracking by utilizing real objects that have been registered in the ModelBased Occlusion. The results of this study are the virtual objects that appear can occupy the correct position in the Augmented Reality application. In this case using 3D Object Tracking by utilizing real objects that have been registered in the ModelBased Occlusion. The results of this study are the virtual objects that appear can occupy the correct position in the Augmented Reality application.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130008803","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

Urban Area Change Detection with Combining CNN and RNN from Sentinel-2 Multispectral Remote Sensing Data 基于CNN和RNN的Sentinel-2多光谱遥感城市面积变化检测

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274617

Uus Khusni, H. I. Dewangkoro, A. M. Arymurthy

引用次数: 4