2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE)最新文献_第2页

Design and Development of A Cloud-Based IDS using Apache Kafka and Spark Streaming 基于Apache Kafka和Spark Streaming的基于云的IDS的设计与开发

2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2022-06-22 DOI: 10.1109/jcsse54890.2022.9836264

Len Wirz, Rinrada Tanthanathewin, Asipan Ketphet, S. Fugkeaw

{"title":"Design and Development of A Cloud-Based IDS using Apache Kafka and Spark Streaming","authors":"Len Wirz, Rinrada Tanthanathewin, Asipan Ketphet, S. Fugkeaw","doi":"10.1109/jcsse54890.2022.9836264","DOIUrl":"https://doi.org/10.1109/jcsse54890.2022.9836264","url":null,"abstract":"Owing to the efficient resource management, accessibility, and high service availability, cloud computing has been leveraged by several intensive-data processing applications such as big data analytics, social media applications. These applications are typically based on the development of web service and web application. Even though web-based technology offers effective communication and implementation, it has been susceptible to various kinds of attack. In this paper, we investigate possible attacks on REST which is a commonly used protocol for the web service implementation. In REST, HTTP requests are mapped to GET, POST, PUT, and DELETE that have been proven to be prone to common attacks including Automated Brute Forcing on web-based login, HTTP flood attacks, SQL injections (SQLi), and Cross-Site Scripting (XSS). To this end, we propose a design and implementation of the cloud-based IDS to detect such attacks by employing Apache Kafka and Spark streaming to classify and process the high volume of user inputs in REST HTTP communication. To detect the anomalous inputs, we apply the signature-based approach to construct an IDS engine based on a set of known attack patterns that will be leveraged by the Spark Streaming. Specifically, we introduce a new string comparison collection that improves the False Positive (FP) rate in SQL injection detection, which has been a major issue in most proposed IDS currently available. In our experiment, the system is able to determine malicious patterns with high performance as well as to generate SMS alerts and log the event in a Google Cloud Storage Bucket in an efficient manner.","PeriodicalId":284735,"journal":{"name":"2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129089519","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

Using Latent Dirichlet Allocation to investigate guest experience in Airbnb accommodation during COVID-19 pandemic in the United Kingdom 使用潜在狄利克雷分配来调查英国COVID-19大流行期间Airbnb住宿的客人体验

2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2022-06-22 DOI: 10.1109/jcsse54890.2022.9836314

Nathakit Keawtoomla, Arinya Pongwat, Jakramate Bootkrajang

引用次数: 0

MAX-CUT on Samplings of Dense Graphs 密集图抽样的MAX-CUT

2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2022-06-22 DOI: 10.1109/jcsse54890.2022.9836261

Jittat Fakcharoenphol, Phanu Vajanopath

引用次数: 0

Identifying Significant Customer Opinion Information of Each Aspect from Hotel Reviews 从酒店评论中识别各方面的重要客户意见信息

2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2022-06-22 DOI: 10.1109/jcsse54890.2022.9836251

J. Polpinij, Umaporn Saisangchan, Vorakit Vorakitphan, B. Luaphol

{"title":"Identifying Significant Customer Opinion Information of Each Aspect from Hotel Reviews","authors":"J. Polpinij, Umaporn Saisangchan, Vorakit Vorakitphan, B. Luaphol","doi":"10.1109/jcsse54890.2022.9836251","DOIUrl":"https://doi.org/10.1109/jcsse54890.2022.9836251","url":null,"abstract":"Recognizing whether customers like or dislike a product or service from online reviews may not be sufficient for other customers to make decisions or for owners to improve their merchandising. This was taken up as a challenge in this study that focused on finding significant sentiment information from customer reviews on each hotel aspect. The proposed framework first separated customer reviews into sentences, and then assembled all customer review sentences relating to each aspect of customer reviews using the k-means clustering. Later, those customer sentences are classified them into positive and negative sentiment polarity classes. The classifier was developed by Support Vector Machines (SVM). This can help other customers or the owner to understand why customers like or dislike a particular hotel aspect. The experimental results were evaluated using recall, precision, F1 and accuracy. The clustering method returned satisfactory results of 0.81, 0.80, 0.80 and 0.80, respectively. Meanwhile, the classification method also gave satisfactory results at 0.81, 0.79, 0.80 and 0.79, respectively. Compared to the baseline using F1 and accuracy, our proposed method produces very similar experimental results to the baseline method but our proposed method requires less computational time than the baseline.","PeriodicalId":284735,"journal":{"name":"2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116282574","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

Automatic Thai Ticket Classification By Using Machine Learning For IT Infrastructure Company IT基础设施公司使用机器学习的自动泰国票务分类

2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2022-06-22 DOI: 10.1109/jcsse54890.2022.9836250

Kraidet Khowongprasoed, Taravichet Titijaroonroj

引用次数: 1

Outcome Based Education: An Evaluation from SOs to PLOs 基于结果的教育:从SOs到PLOs的评估

2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2022-06-22 DOI: 10.1109/jcsse54890.2022.9836307

Thana Hongsuwan, Nattarat Serirat, Noppanat Panlutan, Thanapat Danpattanachaikul, C. Jinjakam

{"title":"Outcome Based Education: An Evaluation from SOs to PLOs","authors":"Thana Hongsuwan, Nattarat Serirat, Noppanat Panlutan, Thanapat Danpattanachaikul, C. Jinjakam","doi":"10.1109/jcsse54890.2022.9836307","DOIUrl":"https://doi.org/10.1109/jcsse54890.2022.9836307","url":null,"abstract":"The main processes of outcome-based education management are setting learning outcomes, measuring, evaluating learning results, and improving. Teachers must plan exercises, homework, classroom activities, midterm exams, and final exams that are consistent and align with program outcomes and educational standards. The proposed Outcome-Based Education (OBED) Web Application supports administrators and faculty staff for program and course management. After administrators or course committees designed the program learning outcomes to meet the referred educational standards (ex. TQF and TABEE), this web app supports their alignment PLOs to courses. Then, faculty staff can create expected course learning outcomes connected to the assigned PLOs. In addition, the system supports data transfer from the learning management system. With this web app, administrators and teachers can observe student outcomes from student activity results compared with the expected program learning outcome reported by course, cohort, or individual student. Therefore, teachers can adjust activities during the semester to get much closer to the target expected PLOs. Moreover, by OBED app support, semester assessment reports are ready to use according to the form prescribed by departments and educational standards.","PeriodicalId":284735,"journal":{"name":"2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131331947","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

Multi-Sensor Fusion with Extended Kalman Filter for Indoor Localization system of Multirotor UAV 基于扩展卡尔曼滤波的多传感器融合多旋翼无人机室内定位系统

2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2022-06-22 DOI: 10.1109/jcsse54890.2022.9836275

Pawarut Karaked, Watcharapol Saengphet, S. Tantrairatn

引用次数: 0

Automated Clinical Assessment in Diabetic Retinopathy Retinal Images: A Review 糖尿病视网膜病变视网膜图像的自动临床评估:综述

2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2022-06-22 DOI: 10.1109/jcsse54890.2022.9836245

B. Sriman, Nittaya Muangnak, Chaiwat Sirawattananon

引用次数: 0

Quantitative analysis of the 2D tissue skin layer with fluorescent dyes 用荧光染料定量分析二维组织皮肤层

2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2022-06-22 DOI: 10.1109/jcsse54890.2022.9836243

Rachata Chaiprasongsuk, Paniti Achararit, Pasit Jarutatsanangkoon, Pawaree Nonthasaen, Wiriya Mahikul, Anyamanee Chaiprasongsuk, U. Panich, P. Prombut

{"title":"Quantitative analysis of the 2D tissue skin layer with fluorescent dyes","authors":"Rachata Chaiprasongsuk, Paniti Achararit, Pasit Jarutatsanangkoon, Pawaree Nonthasaen, Wiriya Mahikul, Anyamanee Chaiprasongsuk, U. Panich, P. Prombut","doi":"10.1109/jcsse54890.2022.9836243","DOIUrl":"https://doi.org/10.1109/jcsse54890.2022.9836243","url":null,"abstract":"Development of an automated process for quantifying proteins in multiple layers of skin is essential to research in the field of cell biology. Researchers aimed to quantify the cell density and levels of biomarkers on tissue samples. Immunofluorescence tissue staining is one of the standard methods used for the protein detection by tagging with the fluorescein isothiocyanate (FITC), the green fluorescent agent. Recently, the single-cell (monolayer tissue) analysis software automation has been obtained to quantify the protein levels. However, there are limitations for the analysis of overlapping multilayer tissue. Since the automatic analysis cannot be operated on the rough and muti-layered surface, the analysis is then manually performed using ImageJ software which process more than 5 minutes/image. Problems arise when many images of tissues need to be analyzed. Therefore, an automatic process has been developed for the image analysis to reduce time and error. This study developed the automatic process by adjusting the pixel intensity and splitting into the RGB channels and converting into gray with different intensities. The intensity can be measured on grayscale from 0 to 255 units based on the KODAK grayscale zone. The FITC staining is converted to be the grayscale intensity for the pixel intensity calculation. The gray level < 25 units was setup to be the exclusion criteria to solve the problem of over-exposure due to background noise. Therefore, this automated data processing enhances the technical capabilities and computational accuracy, which proposes an alternative approach to improve the tissue analysis for cell biology research.","PeriodicalId":284735,"journal":{"name":"2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116879586","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

Two-Dimensional Variational Mode Decomposition with Texture Feature Extraction for Glaucoma Classification from Retinal Images 基于纹理特征提取的二维变分模分解视网膜图像青光眼分类

2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2022-06-22 DOI: 10.1109/jcsse54890.2022.9836303

Aekapop Bunpeng, Ungsumalee Suttapakti

引用次数: 0