2022 2nd International Conference in Information and Computing Research (iCORE)最新文献_第7页

Trojan Malware Detection using ANN, Naïve Bayes and SVM Machine Learning Algorithms 木马恶意软件检测使用ANN, Naïve贝叶斯和SVM机器学习算法

2022 2nd International Conference in Information and Computing Research (iCORE) Pub Date : 2022-12-01 DOI: 10.1109/iCORE58172.2022.00033

Anjelica M. Castillo, Allen Bryant S. Lineses, Brenson Go, Rogel M. Labanan, Manolito V. Octaviano

{"title":"Trojan Malware Detection using ANN, Naïve Bayes and SVM Machine Learning Algorithms","authors":"Anjelica M. Castillo, Allen Bryant S. Lineses, Brenson Go, Rogel M. Labanan, Manolito V. Octaviano","doi":"10.1109/iCORE58172.2022.00033","DOIUrl":"https://doi.org/10.1109/iCORE58172.2022.00033","url":null,"abstract":"Trojan malware is one of the most destructive forces in the cyber world that is not easy to detect. In this study, machine learning algorithms namely: Artificial Neural Networks (ANN), Support Vector Machine (SVM), and Naïve Bayes were used to detect computer-based DDoS Trojan malware through network traffic flows. Using the CICDDoS2019 dataset, the Correlation Attribute Evaluation feature in Weka was performed to identify the suitable feature set of the network traffic artifacts for malware detection in a computer system. An ablation feature technique was used in the result to understand the effects of different dataset features on the performance of the models. Moreover, the performance of the models was evaluated using Accuracy, Precision, Recall, F-Metric, Misclassification Rate (FPR), and Receiver Operating Characteristic (ROC). Amongst the machine learning models, the result of the ANN model obtained the highest percentage of correctly classified instances of DDoS Trojan malware. Furthermore, the ANN's model evaluation metrics also showed positive results thus, an indication that the model is suitable for performing DDoS Trojan Malware detection using network traffics. Lastly, the model was also evaluated using Local Interpretable Model - Agnostic Explanations (LiME), and live malware samples were tested.","PeriodicalId":229986,"journal":{"name":"2022 2nd International Conference in Information and Computing Research (iCORE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125580760","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

Hydrologic Assessment on the Impact of Land Cover Change in the Streamflow of Davao River Basin using Hydrologic Modeling System 基于水文模拟系统的达沃河流域土地覆盖变化对径流影响的水文评价

2022 2nd International Conference in Information and Computing Research (iCORE) Pub Date : 2022-12-01 DOI: 10.1109/iCORE58172.2022.00069

Levi John Amador, Katrina Mae Armea, Erick Oracion, John John Padolina, Jan Christopher Tuason, F. Santos

{"title":"Hydrologic Assessment on the Impact of Land Cover Change in the Streamflow of Davao River Basin using Hydrologic Modeling System","authors":"Levi John Amador, Katrina Mae Armea, Erick Oracion, John John Padolina, Jan Christopher Tuason, F. Santos","doi":"10.1109/iCORE58172.2022.00069","DOIUrl":"https://doi.org/10.1109/iCORE58172.2022.00069","url":null,"abstract":"Rapid population growth and urbanization have led to changes in land cover, including the transformation of agricultural areas and forest land into built-up areas. This paper aimed to analyze and assess the impact of changing land cover on the streamflow of the Davao River Basin using Geographical Information System (GIS) and Hydrologic Modeling. The Davao River Basin watershed was created using the ArcGIS tool, allowing the stream and sub-basin boundaries to be constructed. The Hydraulic Engineering Center -Hydrologic Modeling System (HEC-HMS), a computer simulation software, was then utilized to simulate the rainfall-runoff and to develop the Davao River Basin's hydrologic model. The developed model was simulated for a one-year rainfall-runoff event using the daily rainfall data for 2003, 2010, and 2015. Parameter calibration was done by comparing simulated discharges from the model to the observed data of the Department of Public Works and Highways (DPWH). The discharge values obtained from the calibrated model were used to generate flood inundation maps to assess the extent of flooding and relate it to the change in land cover of the basin. Simulations show that an increase of 76.61% in built-up areas (from 2003 to 2010) resulted in a 53.45% and 64.04% increase in the maximum depth of flood for 50-year and 100-year return periods, respectively. Moreover, the 12.40% increase in built-up areas from 2010 to 2015 only increased 21.06% and 26.37% in the maximum depth. These findings show that the continuous increase in built-up areas and further reduction of agricultural and forest lands in the area resulted in the broader spread of floods and an increase in the maximum flood depth of the Davao River Basin. The findings of this study can help in the decision-making of stakeholders in balancing future development and watershed preservation.","PeriodicalId":229986,"journal":{"name":"2022 2nd International Conference in Information and Computing Research (iCORE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131766149","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

Text-Based Sentiment Analysis of Students' Satisfaction: An Input to Strategic Plan 基于文本的学生满意度情感分析:为策略规划提供参考

2022 2nd International Conference in Information and Computing Research (iCORE) Pub Date : 2022-12-01 DOI: 10.1109/iCORE58172.2022.00034

Regina Garcia Almonte, E. Bustillos, L. L. Lacatan

{"title":"Text-Based Sentiment Analysis of Students' Satisfaction: An Input to Strategic Plan","authors":"Regina Garcia Almonte, E. Bustillos, L. L. Lacatan","doi":"10.1109/iCORE58172.2022.00034","DOIUrl":"https://doi.org/10.1109/iCORE58172.2022.00034","url":null,"abstract":"Sentiment analysis is the study of people's sentiments as expressed in written language. To ensure continuous improvement in higher education institutions (HEIs), it is critical to identify the sentiments of each stakeholder. City College of Calamba (CCC), as one of the recognized HEIs in the Philippines, utilized the traditional method to collect the sentiments of its stakeholders, which is the use of a suggestion box. Despite the pandemic, the suggestion box remains the primary platform for collecting the sentiments of its stakeholders and clients. In this paper, the most commonly used sentiment classification algorithms were Multinomial Nave Bayes (MNB) and Linear Support Vector Machine (LSVM). The main objective of the study is to analyzethe sentiments of CCC stakeholders retrieved from the suggestion box, and the results may serve as an input to the strategic plan of the institution to plan the necessary improvements. The method employed in the study has the following phases: data preprocessing, classification, validation, and evaluation. In terms of data classification, the most commonly used algorithms for sentiment classification were evaluated to identify the optimum algorithm for the sentiment analysis of the stakeholders and clients. The results revealed that the LSVM algorithm is the optimal algorithm for analyzing text sentiments. The results obtained using the LSVM algorithm may be used as input to the strengths and weaknesses analysis, which is vital to the strategic plan of the institution.","PeriodicalId":229986,"journal":{"name":"2022 2nd International Conference in Information and Computing Research (iCORE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123766891","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

CCT Online Request of Students Credentials: A Document Management System for Private HIEs in the Philippines CCT在线申请学生证书:菲律宾私立高等教育的文件管理系统

2022 2nd International Conference in Information and Computing Research (iCORE) Pub Date : 2022-12-01 DOI: 10.1109/iCORE58172.2022.00024

Kylie Ivy R. Abang, Diana Lenore V. Gatmaitan, Florence R. Manalo, Michelle R. Torcelino, Ramon L. Rodriguez, Elcid A. Serrano

{"title":"CCT Online Request of Students Credentials: A Document Management System for Private HIEs in the Philippines","authors":"Kylie Ivy R. Abang, Diana Lenore V. Gatmaitan, Florence R. Manalo, Michelle R. Torcelino, Ramon L. Rodriguez, Elcid A. Serrano","doi":"10.1109/iCORE58172.2022.00024","DOIUrl":"https://doi.org/10.1109/iCORE58172.2022.00024","url":null,"abstract":"At a start of an institution, manual requisition of documents and credentials can be quick, easy, and necessary. However, as your institution grows, the manual requisition can be a very cumbersome practice. In any busy institution, it is important that each accomplished student's request must be quick and effective. More efficient ways in today's growing technological world can help keep you organized with higher productivity. Since we are facing a worldwide pandemic, it is wiser to have a system that provides an online requisition of credentials. The goal is to develop an online request for student credentials for a Higher Education Institution in the Philippines, where the City College of Tagaytay (CCT) is the case site of the study. An Agile software methodology was used in the development of the system. The system was initially implemented in the CCT. Given the initial implementation of the system, it shows that it is more convenient and safer for the students to request student credentials. The importance of the system was highlighted during the pandemic, and other features of the system will be included to cater to other HIEs requirements.","PeriodicalId":229986,"journal":{"name":"2022 2nd International Conference in Information and Computing Research (iCORE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121287605","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

Topic Modeling on Customer Feedback from an Online Ticketing System using Latent Dirichlet Allocation and BERTopic 基于潜在狄利克雷分配和BERTopic的在线票务系统客户反馈主题建模

2022 2nd International Conference in Information and Computing Research (iCORE) Pub Date : 2022-12-01 DOI: 10.1109/iCORE58172.2022.00020

Charmaine S. Ponay

引用次数: 0

Cross-Model Interpretation of Machine Learning-Based Automatic Baybayin Script Recognition Systems 基于机器学习的Baybayin脚本自动识别系统的跨模型解释

2022 2nd International Conference in Information and Computing Research (iCORE) Pub Date : 2022-12-01 DOI: 10.1109/iCORE58172.2022.00071

Cerwin Dexter L. Dela Rosa, K. Z. Lagunilla, J. Ramos, A. K. S. San Pedro, G. Sampedro, Ramon L. Rodriguez

引用次数: 0

Fish-be-with-you: An Augmented Reality Mobile Application About Endangered Marine Species 鱼和你在一起:关于濒危海洋物种的增强现实移动应用程序

2022 2nd International Conference in Information and Computing Research (iCORE) Pub Date : 2022-12-01 DOI: 10.1109/iCORE58172.2022.00023

Marie Jocelle Y. Mina, Marr Darwin T. Antonio, John Matthew B. Clemente, Carl Ivan M. Yap, J. Q. Calleja, Ma.Corazon Fernando-Raguro, A. Lagman, John Heland Jasper Ortega

{"title":"Fish-be-with-you: An Augmented Reality Mobile Application About Endangered Marine Species","authors":"Marie Jocelle Y. Mina, Marr Darwin T. Antonio, John Matthew B. Clemente, Carl Ivan M. Yap, J. Q. Calleja, Ma.Corazon Fernando-Raguro, A. Lagman, John Heland Jasper Ortega","doi":"10.1109/iCORE58172.2022.00023","DOIUrl":"https://doi.org/10.1109/iCORE58172.2022.00023","url":null,"abstract":"This project aims to develop an augmented reality mobile application about endangered marine species. The program has made use of augmented reality technology to scan target photos on the card and show three-dimensional reconstructions of six endangered marine species. When a target image is detected, the program will show the 3D model of the sea species to the user. The application was built using Vuforia and Unity, the 3D models were modeled with Substance Painter and ZBrush, and the card layout was designed with Adobe Illustrator. The created system is one of the country's first augmented reality (AR) apps regarding endangered marine species, with the purpose of spreading information and increasing awareness about the situation of endangered marine species via AR. To demonstrate that the program is productive and user-friendly, the researchers surveyed ten IT experts. The survey findings demonstrate that the approach is effective and useable for sharing information and increasing awareness about the state of endangered marine species. Future researchers may enhance the system by incorporating some of the features and refining the mobile application so that people can still use it without the visual book.","PeriodicalId":229986,"journal":{"name":"2022 2nd International Conference in Information and Computing Research (iCORE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127220068","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