2022 9th NAFOSTED Conference on Information and Computer Science (NICS)最新文献

Fairness Enhanced Dynamic Routing Protocol in Software-Defined Networking 软件定义网络中增强公平性的动态路由协议

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013394

Nguyen Viet Ha, Tran Anh Tuan, T. T. T. Nguyen

引用次数: 0

Multi-Task Learning with Convolutional Neural Network Approach for Packet Collision Avoidance in 802.11 WLAN 基于卷积神经网络的802.11无线局域网分组避免多任务学习

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013420

Dody Ichwana Putra, Harry Bintang Pratama, Tomoki Nakashima, Y. Nagao, M. Kurosaki, H. Ochi

{"title":"Multi-Task Learning with Convolutional Neural Network Approach for Packet Collision Avoidance in 802.11 WLAN","authors":"Dody Ichwana Putra, Harry Bintang Pratama, Tomoki Nakashima, Y. Nagao, M. Kurosaki, H. Ochi","doi":"10.1109/NICS56915.2022.10013420","DOIUrl":"https://doi.org/10.1109/NICS56915.2022.10013420","url":null,"abstract":"Packet collision can degrade wireless network performance. The IEEE 802.11 Wireless Local Area Network (WLAN) uses the Clear Channel Assessment (CCA) mechanism to monitor channel availability to avoid interference of the presence signal. CCA successfully detects 802.11 signals if it obtains the packet preamble information or detects the threshold ambient power on the channel to determine the channel state. This paper proposes multi-task learning (MTL) with convolutional neural network (CNN) approach to detect WLAN packet formats and modulation types without preamble part information as a supplement to enhance CCA sensitivity. The main advantages of this method over single-task training are high classification accuracy and rapid learning with a lightweight neural network model. Shared knowledge of representation layers, such as model weights or gradients, improves the efficiency of training data and reduces redundancy. WLAN signals generated by the Matlab waveform simulator are used to verify the accuracy of the proposed method, which is then implemented on a real-time SDR-based hardware testbed. Although different time offsets affect the classifications, the proposed method proves superior in classifying the packet format and modulation of WLAN signals with an accuracy of 98.93% and 88.53% at SNR = 24 dB, respectively. The proposed method improves channel utilization and throughput of the WLAN network, as demonstrated by an NS-3 simulation.","PeriodicalId":381028,"journal":{"name":"2022 9th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"258 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115282543","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

Generating Test Paths to Detect XSS Vulnerabilities of Web Applications 生成测试路径以检测Web应用程序的XSS漏洞

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013397

H. Nguyen, Thanh-Nhan Luong, Ninh-Thuan Truong

{"title":"Generating Test Paths to Detect XSS Vulnerabilities of Web Applications","authors":"H. Nguyen, Thanh-Nhan Luong, Ninh-Thuan Truong","doi":"10.1109/NICS56915.2022.10013397","DOIUrl":"https://doi.org/10.1109/NICS56915.2022.10013397","url":null,"abstract":"Web technologies have developed rapidly because web applications are currently leading the trends in software development. In the face of emerging security issues, preventing software security vulnerabilities is a great concern for developers, vendors, and customers. In fact, the cross-site scripting (XSS) attack is a very popular type of attack that causes security vulnerabilities in web systems. However, when testing to detect XSS attacks for web applications, optimizing the test paths still has some problems with the time or space of the test paths. Therefore, in this paper, we propose a method to solve this problem. Our approach uses Q-learning in generating automated test paths to test XSS vulnerabilities for web applications. The proposed method consists of generating the graph of the web application, setting the weight for the graph, building the memory matrix, and generating test paths. We have experimented proposed approach with the online learning website system. The experimental results show a significant reduction in the number of test paths and this helps to reduce the test case space and test time to detect XSS vulnerabilities of web applications.","PeriodicalId":381028,"journal":{"name":"2022 9th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123215320","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

Page Object Detection in Vietnamese Document Images with Novel Approach 基于新方法的越南文文档图像页面目标检测

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013374

Luc T. Le, Trong-Thuan Nguyen, Khang Nguyen

引用次数: 0

A Linguistic-based Transfer Learning Approach for Low-resource Bahnar Text-to-Speech 基于语言的低资源巴纳尔语文转语音迁移学习方法

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013451

T. Nguyen, Quang Tuong Lam, D. Do, Huu Thuc Cai, Hoang Suong Nguyen, Thanh Hung Vo, Duc Dung Nguyen

{"title":"A Linguistic-based Transfer Learning Approach for Low-resource Bahnar Text-to-Speech","authors":"T. Nguyen, Quang Tuong Lam, D. Do, Huu Thuc Cai, Hoang Suong Nguyen, Thanh Hung Vo, Duc Dung Nguyen","doi":"10.1109/NICS56915.2022.10013451","DOIUrl":"https://doi.org/10.1109/NICS56915.2022.10013451","url":null,"abstract":"The Text-to-Speech (TTS) model often requires a large number of recorded utterances in standard quality for a high-fidelity synthesized speech. For low-resource languages, lacking data becomes a big challenge. In this work, we address this problem in the Bahnar Kriem language, a rare language used by Bahnar people living in Binh Dinh county, Vietnam. We propose the linguistic approach to process a poor-quality dataset of 720 utterances of Bahnar Kriem language, along with some preprocessing steps. We also analyze the Bahnar Kriem language and figure out a mixture between Bahnar and Vietnamese due to the historical development between the two races. Therefore, we propose the transfer learning approach to integrate the Vietnamese pronunciation into the Bahnar TTS synthesizer. The experiments show significant improvement in the performance of the TTS model for a low-resource language. Our model can also generate long Bahnar sentences with a short inference time. The subjective and objective evaluations suggest promising results and some potential improvements based on our approach. We also provide audio samples generated from our model1.","PeriodicalId":381028,"journal":{"name":"2022 9th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116725271","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

Empirical Study One-stage Object Detection methods for RoboCup Small Size League RoboCup小型联赛单阶段目标检测方法的实证研究

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013320

Khang Nguyen, Luu Ngo, Kiet Huynh, Nguyen Thanh Nam

引用次数: 0

Integrating Semantic Information into Sketchy Reading Module of Retro-Reader for Vietnamese Machine Reading Comprehension 将语义信息整合到越南语机器阅读理解的复古阅读器略读模块中

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013390

Hang Le, Viet-Duc Ho, Duc-Vu Nguyen, N. Nguyen

{"title":"Integrating Semantic Information into Sketchy Reading Module of Retro-Reader for Vietnamese Machine Reading Comprehension","authors":"Hang Le, Viet-Duc Ho, Duc-Vu Nguyen, N. Nguyen","doi":"10.1109/NICS56915.2022.10013390","DOIUrl":"https://doi.org/10.1109/NICS56915.2022.10013390","url":null,"abstract":"Machine Reading Comprehension has become one of the most advanced and popular research topics in the fields of Natural Language Processing in recent years. The classification of answerability questions is a relatively significant sub-task in machine reading comprehension; however, there haven't been many studies. Retro-Reader is one of the studies that has solved this problem effectively. However, the encoders of most traditional machine reading comprehension models in general and Retro-Reader, in particular, have not been able to exploit the contextual semantic information of the context completely. Inspired by SemBERT, we use semantic role labels from the Semantic Role Labeling (SRL) task to add semantics to pre-trained language models such as mBERT, XLM-R, PhoBERT. This experiment was conducted to compare the influence of semantics on the classification of answerability for the Vietnamese machine reading comprehension. Additionally, we hope this experiment will enhance the encoder for the Retro-Reader model's Sketchy Reading Module. The improved Retro-Reader model's encoder with semantics was first applied to the Vietnamese Machine Reading Comprehension task and obtained positive results.","PeriodicalId":381028,"journal":{"name":"2022 9th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121562641","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

An Approach for the Teamwork Scheduling Problem with Job-person Constraint 具有工作-人约束的团队调度问题的一种方法

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013369

Trang Hong Son, Hoang Xuan Long, Nguyen Huynh-Tuong, Tran Van Lang

引用次数: 0

Comprehensible Alarm Message Generation for Natural Disaster 可理解的自然灾害报警信息生成

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013384

Phuc Nguyen, Nguyen Tran, Shahaboddin Shamshirband, T. Tran, T. Quan

引用次数: 0

Classification I-EEG Signals Using Ensemble Algorithms 基于集成算法的脑电信号分类

2022 9th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2022-10-31 DOI: 10.1109/NICS56915.2022.10013378

Hoang-Thuy-Tien Vo, Thi-Nhu-Quynh Nguyen, Tuan Van Huynh

引用次数: 0