2018 International Conference on Information and Communications Technology (ICOIACT)最新文献_第8页

Intrusion detection against unauthorized file modification by integrity checking and recovery with HW/SW platforms using programmable system-on-chip (SoC) 通过使用可编程片上系统(SoC)的硬件/软件平台进行完整性检查和恢复，对未经授权的文件修改进行入侵检测

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-01 DOI: 10.1109/ICOIACT.2018.8350742

S. Julianto, R. Munir

{"title":"Intrusion detection against unauthorized file modification by integrity checking and recovery with HW/SW platforms using programmable system-on-chip (SoC)","authors":"S. Julianto, R. Munir","doi":"10.1109/ICOIACT.2018.8350742","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350742","url":null,"abstract":"The attacks of modifying files such as website hacking, virus infection and ransomware are becoming a recent issue. This is due to a lack of attention to the programs or maintenance of web applications after it has been completed and connected to the internet, while hackers will always try to find a security hole to infiltrate the system. The security of software-based system used in the market today is not good enough to protect those attacks because the software-based protection, in general, can still be modified or manipulated. Therefore, a mechanism that can protect files in a system (such as personal computer or server) by both software and hardware is required. Implementing the mechanism to a hardware can bring a better immunity from malware infections. This paper proposed a method that provides protection mechanism against unauthorized file modification using the existing Integrity Checking and Recovery (ICAR) concept by holistic approach (hardware and software protection) with an open source security-oriented platform using a programmable system on chip (SoC). The results of the simulations show that the system can protect the authenticity of files against file modification-based attacks in the limited scenarios of attack without modifying main system configuration.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"1 1","pages":"174-179"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89759254","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: 2

Audio beam steering with phased array method using Arduino Due Microcontroller 基于Arduino Due微控制器的相控阵音频波束控制方法

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-01 DOI: 10.1109/ICOIACT.2018.8350683

Amaro Da Silva Gaviola, M. Rivai, Hendra Kusuma

{"title":"Audio beam steering with phased array method using Arduino Due Microcontroller","authors":"Amaro Da Silva Gaviola, M. Rivai, Hendra Kusuma","doi":"10.1109/ICOIACT.2018.8350683","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350683","url":null,"abstract":"The audio system requires a large amount of power to transmit sound energy to all areas both inside and outside the room. Sound waves can propagate in the air and undergo great absorption in their propagation. Often people or audiences only exist in areas with a certain distance and direction, so much of the sound energy is wasted. The focusing technique can be applied to transmit sound energy to the audience area with a certain direction and distance. Thus, this technique can save energy significantly. Audio steering system with mechanical process, requires high electric driving power and takes a long time. In this research, a sound energy guiding system from four loudspeaker series has been done with phase difference or phased array method. So, there is no mechanical loudspeaker modifiers are needed. The computer is used as a Graphical User Interface to determine the direction and distance of the audience who will receive the sound, by generating the delay configuration pattern of each path using Arduino Due Microcontroller. So this process can work automatically in directing the sound energy. The test results show that the sound intensity generated by the system is greater at the selected or target angle than the others. Beam Steering audio is expected to be used for large meeting rooms or outdoors, where the sound energy is only sent towards the desired power depending on the area and distance of the audience.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"35 1","pages":"597-600"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86902141","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

Introducing TAMEx model for availability of e-exam in wireless environment 介绍了无线环境下电子考试可用性的TAMEx模型

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-01 DOI: 10.1109/ICOIACT.2018.8350741

G. Sukadarmika, R. S. Hartati, Linawati, Nyoman Putra Sastra

{"title":"Introducing TAMEx model for availability of e-exam in wireless environment","authors":"G. Sukadarmika, R. S. Hartati, Linawati, Nyoman Putra Sastra","doi":"10.1109/ICOIACT.2018.8350741","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350741","url":null,"abstract":"Computer Base Test (CBT) or e-exam is often used to evaluate the achievement of learning process in e-learning system. E-exam services become more popular to be implemented by Massive Open Online Courses, TOEFL, IELTS etc. However, the security of e-exam is still debatable. Many researches related to e-exam security on the aspect of authority and confidentiality have been done. However, there are not many researches founded relate to availability aspect especially for implementation of e-exam in wireless environment. Here is introduced Time Adaptive for Mobile E-Exam (TAMEx) model. This model is designed for improving availability of e-exam which is implemented in wireless network especially in WLAN IEEE.802.11. This model deploys Netsh command to provide data of Wireless Local Area Network interfaces then integrate it with e-exam application. Here is used RSSI and received data rate to identify connection status of the client. In case of connection problem due to the RSSI or received data rate below the required standard, this model provides additional time automatically corresponding to duration of connection interruption to a certain user who has experienced of loss connection during the exam. Therefore, implementing TAMEx model in e-exam services should improve reliability of e-exam in wireless environment due to its availability, fairness and accountability.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"30 6 1","pages":"163-167"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77511674","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

Disturbance compensation using CTC with NDOB for formation control of mobile robots 基于NDOB的CTC扰动补偿用于移动机器人编队控制

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-01 DOI: 10.1109/ICOIACT.2018.8350703

A. Kusumawardana, T. Agustinah

引用次数: 5

Design and analysis of feedback control system 反馈控制系统的设计与分析

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-01 DOI: 10.1109/ICOIACT.2018.8350714

Faiq Ahmad Khan, Shibli Nisar

引用次数: 5

Text mining based on tax comments as big data analysis using SVM and feature selection 基于支持向量机和特征选择的税务评论文本挖掘大数据分析

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-01 DOI: 10.1109/ICOIACT.2018.8350743

Mihuandayani, Ema Utami, E. T. Luthfi

{"title":"Text mining based on tax comments as big data analysis using SVM and feature selection","authors":"Mihuandayani, Ema Utami, E. T. Luthfi","doi":"10.1109/ICOIACT.2018.8350743","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350743","url":null,"abstract":"The tax gives an important role for the contributions of the economy and development of a country. The improvements to the taxation service system continuously done in order to increase the State Budget. One of consideration to know the performance of taxation particularly in Indonesia is to know the public opinion as for the object service. Text mining can be used to know public opinion about the tax system. The rapid growth of data in social media initiates this research to use the data source as big data analysis. The dataset used is derived from Facebook and Twitter as a source of data in processing tax comments. The results of opinions in the form of public sentiment in part of service, website system, and news can be used as consideration to improve the quality of tax services. In this research, text mining is done through the phases of text processing, feature selection and classification with Support Vector Machine (SVM). To reduce the problem of the number of attributes on the dataset in classifying text, Feature Selection used the Information Gain to select the relevant terms to the tax topic. Testing is used to measure the performance level of SVM with Feature Selection from two data sources. Performance measured using the parameters of precision, recall, and F-measure.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"25 1","pages":"537-542"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77607817","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: 8

Xbee pro module application in to organize and monitoring earthquake disaster location with the robot control system 应用Xbee pro模块与机器人控制系统对地震灾害现场进行组织和监测

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-01 DOI: 10.1109/ICOIACT.2018.8350811

Adewasti, R. Febriani, Sholihin, Eka Susanti, Emilia Hesti

{"title":"Xbee pro module application in to organize and monitoring earthquake disaster location with the robot control system","authors":"Adewasti, R. Febriani, Sholihin, Eka Susanti, Emilia Hesti","doi":"10.1109/ICOIACT.2018.8350811","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350811","url":null,"abstract":"In Indonesia, the earthquake disaster is a disaster that often happens and cause a lot of damage and casualties, so researchers will try to design a Robot control system to monitor the Earthquake Disaster Location Using Xbee Pro Based Arduino. Initial robot formation, how to design a tool in the form of robot is one that must be considered for the tool produced in this case a robot can be useful for the community and can help the work of the SAR team in terms of monitoring the location of earthquakes. Researchers only limit the subject matter only to the set of receivers and monitoring devices. In order to monitor the state of the earthquake disaster site, this robot is equipped with a camera as a monitoring tool. This tool uses Arduino as Microcontroller, Xbee Pro as communication medium between remote and robot, Driver Motor as DC motor drive, DC Motor as a robot drive, Servo Motor as camera drive, Wireless Camera and Mobile as monitoring device. As a result the robot is able to walk and receive commands up to a distance of more than 20 meters while in the room, and stay connected to the phone to monitor the location of the earthquake.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"5 1","pages":"651-655"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79662426","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: 4

Taxpayer compliance classification using C4.5, SVM, KNN, Naive Bayes and MLP 使用C4.5、SVM、KNN、朴素贝叶斯和MLP进行纳税人合规性分类

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-01 DOI: 10.1109/ICOIACT.2018.8350710

M. Jupri, R. Sarno

{"title":"Taxpayer compliance classification using C4.5, SVM, KNN, Naive Bayes and MLP","authors":"M. Jupri, R. Sarno","doi":"10.1109/ICOIACT.2018.8350710","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350710","url":null,"abstract":"Tax revenue has a very important role to fund the State's finances. In order for the optimal tax revenue, the tax authorities must perform tax supervision to the taxpayers optimally. By using the self-assessment taxation system that is taxpayers calculation, pay and report their own tax obligations added with the data of other parties will create a very large data. Therefore, the tax authorities are required to immediately know the taxpayer non-compliance for further audit. This research uses the classification algorithm C4.5, SVM (Support Vector Machine), KNN (K-Nearest Neighbor), Naive Bayes and MLP (Multilayer Perceptron) to classify the level of taxpayer compliance with four goals that are corporate taxpayers comply formally and materially required, corporate taxpayers comply formally required, corporate taxpayers comply materially required and corporate taxpayers not comply formally and materially required. The classification results of each algorithm are compared and the best algorithm chosen based on criteria F-Score, Accuracy and Time taken to build the model by using fuzzy TOPSIS method. The final result shows that C4.5 algorithm is the best algorithm to classify taxpayer compliance level compared to other algorithms.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"8 1","pages":"297-303"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81133614","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: 17

Improving accuracy of C4.5 algorithm using split feature reduction model and bagging ensemble for credit card risk prediction 利用分割特征约简模型和bagging集成提高C4.5算法在信用卡风险预测中的准确性

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-01 DOI: 10.1109/ICOIACT.2018.8350753

M. A. Muslim, A. Nurzahputra, B. Prasetiyo

{"title":"Improving accuracy of C4.5 algorithm using split feature reduction model and bagging ensemble for credit card risk prediction","authors":"M. A. Muslim, A. Nurzahputra, B. Prasetiyo","doi":"10.1109/ICOIACT.2018.8350753","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350753","url":null,"abstract":"Giving credit to prospective debtor is determined by the existence of credit scoring. The accuracy of credit scoring to classify the debtor data is very important. The method that can be applied is classification and one of the classification method is decision tree. One of the decision tree algorithm that can be used is C4.5 algorithm. In this paper, the problem that discussed is how to increase the accuracy of C4.5 algorithm to predict credit receipts. The increasing accuracy is conducted by applying the Split Feature Reduction Model and Bagging Ensemble. Split Feature Reduction Model is applied in the preprocessing process which split datasets to the amount of n. In this paper, datasets split into 4 splits. Split 1 consists of 16 features, Split 2 consists of 12 features, Split 3 consists of 8 features, and Split 4 consists of 4 features. Then, C4.5 algorithm is applied to every splits. The best accuracy result by applying split feature reduction model with C4.5 algorithm is in Split 3 amount 73.1%. Then, the best accuracy results obtained by applying the split feature reduction model and bagging ensemble with C4.5 algorithm is in Split 3 amount 75.1%. In comparison to the accuracy of C4.5 algorithm stand alone, the applying of split feature reduction model and bagging ensemble obtained increased accuracy by 4.6%.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"31 1","pages":"141-145"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81546473","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: 18

Non-blind RGB image watermarking technique using 2-level discrete wavelet transform and singular value decomposition 基于2级离散小波变换和奇异值分解的RGB图像非盲水印技术

2018 International Conference on Information and Communications Technology (ICOIACT) Pub Date : 2018-03-01 DOI: 10.1109/ICOIACT.2018.8350793

Yudit Arum Mekarsari, D. Setiadi, C. A. Sari, E. H. Rachmawanto, Muljono

{"title":"Non-blind RGB image watermarking technique using 2-level discrete wavelet transform and singular value decomposition","authors":"Yudit Arum Mekarsari, D. Setiadi, C. A. Sari, E. H. Rachmawanto, Muljono","doi":"10.1109/ICOIACT.2018.8350793","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350793","url":null,"abstract":"The main problem in using various watermarking methods to secure digital images is how to optimize the trade-off between robustness watermarked image against the effect of distortion and imperceptibility on watermark insertion. This research proposes a watermark insertion method to protect copyright in true color (RGB) images by combining Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) algorithms. DWT process will be done as much as 2 levels then selected subband LL2 to inserted watermark by Singular Value Decomposition (SVD) method. Measuring tool in this research using MSE, PSNR, SSI M for imperceptibility and NC quality measurement for robustness measurement. The results show that the proposed scheme can optimize the trade-off between imperceptibility and robustness. Some attacks are used such as Gaussian noise, salt & pepper noise, crop, blur and rotate for watermarked image resilience. The PSNR and SSIM values produced from this method are fairly stable values above 40 dB for PSNR and above 0.99 for SSIM. While the average value of NC resulting from this method is 1.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"122 1","pages":"623-627"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89874010","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: 9