2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA)最新文献_第5页

Balance-aware Cost-efficient Routing in the Payment Channel Network 支付通道网络中平衡感知的成本效益路由

2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA) Pub Date : 2023-05-23 DOI: 10.1109/SERA57763.2023.10197670

Suhan Jiang, Jie Wu, Fei Zuo, A. Mei

{"title":"Balance-aware Cost-efficient Routing in the Payment Channel Network","authors":"Suhan Jiang, Jie Wu, Fei Zuo, A. Mei","doi":"10.1109/SERA57763.2023.10197670","DOIUrl":"https://doi.org/10.1109/SERA57763.2023.10197670","url":null,"abstract":"Payment Channel Networks (PCNs) have been introduced as a viable solution to the scalability problem of the popular blockchain. In PCNs, a payment channel allows its end nodes to pay each other without publishing every transaction to the blockchain. A transaction can be routed in the network if there is a path of channels with sufficient funds, and the intermediate routing nodes can ask the transaction sender for a compensatory fee. However, a channel may eventually become depleted and cannot support further payments in a certain direction, as transaction flows from that direction is heavier than flows from the other direction. In this paper, we discuss a PCN node’s possible roles and objectives, and analyze the strategies nodes should take under different roles by considering nodes’ benefits and the network’s performance. Then, we examine two basic network structures (ring and chord) and determine the constraints under which they constitute a Nash equilibrium. Based on the theoretical results, we propose a balance-aware fee-incentivized routing algorithm to guarantee cost-efficient routing, fair fee charging, and the network’s long lasting good performance in general PCNs. Testbed-based evaluation is conducted to validate our theoretical results and to show the feasibility of our proposed approach.","PeriodicalId":211080,"journal":{"name":"2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126464298","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

Phishy? Detecting Phishing Emails Using ML and NLP Phishy吗?使用ML和NLP检测钓鱼邮件

2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA) Pub Date : 2023-05-23 DOI: 10.1109/SERA57763.2023.10197758

Md. Fazle Rabbi, Arifa I. Champa, M. Zibran

引用次数: 0

Mobile User Analysis Considering Collaboration with Financial Services 考虑与金融服务合作的移动用户分析

2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA) Pub Date : 2023-05-23 DOI: 10.1109/SERA57763.2023.10197691

K. Nishimatsu, A. Inoue

{"title":"Mobile User Analysis Considering Collaboration with Financial Services","authors":"K. Nishimatsu, A. Inoue","doi":"10.1109/SERA57763.2023.10197691","DOIUrl":"https://doi.org/10.1109/SERA57763.2023.10197691","url":null,"abstract":"The purpose of this study is to understand mobile user behavior for collaboration services, especially financial services, offered by mobile carriers in Japan. Mobile phone market in Japan remains highly competitive, mobile carriers are focusing on introducing various types of collaboration services other than mobile services. In recent years, loyalty programs based on collaboration services has become an important decision-making factor in mobile carrier choice behavior. This is because loyalty programs are increasingly allowing users to directly use the reward points they have earned as electronic money to purchase various products and other goods, and users can choose the loyalty program that best suits their lifestyle and benefits. With the spread of smartphones, telecommunication services and financial services are increasingly collaborating, and loyalty program is becoming important tool for retaining users. Using survey data, we analyze and evaluate the impact of financial services on the preferences of mobile carriers. The results showed that financial services were effective in retaining users.","PeriodicalId":211080,"journal":{"name":"2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132561052","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

SDCG: Silhouette-based Deep Clustering with GNN for Improved Graph Node Clustering SDCG:基于轮廓的深度聚类与改进图节点聚类的GNN

2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA) Pub Date : 2023-05-23 DOI: 10.1109/SERA57763.2023.10197683

Hyesoo Shin, Eunjo Jang, Sojeong Kim, Ki Yong Lee

{"title":"SDCG: Silhouette-based Deep Clustering with GNN for Improved Graph Node Clustering","authors":"Hyesoo Shin, Eunjo Jang, Sojeong Kim, Ki Yong Lee","doi":"10.1109/SERA57763.2023.10197683","DOIUrl":"https://doi.org/10.1109/SERA57763.2023.10197683","url":null,"abstract":"Graph Neural Networks (GNNs) are powerful tools for analyzing graph-structured data in various fields because of their great expressive power for graph data. They use a message-passing mechanism to update node embeddings, which are then used for tasks such as node classification and link prediction. Recently, node embeddings have also been used in research on graph node clustering, which aims to group similar nodes based on their features and graph topology. However, traditional methods for node clustering have a limitation in that GNNs only focus on generating node embeddings without considering the ultimate objective of clustering. To address this issue, a novel technique called \"Deep Clustering\" has been proposed, which integrates both node embedding and clustering stages. This requires defining a new loss function by simultaneously minimizing the GNN loss and the clustering loss. Our proposed loss function incorporates not only the distance within clusters but also the distance between clusters by applying the Silhouette coefficient, which enables us to achieve better clustering results. In this paper, we propose a Silhouette-based Deep Clustering with GNN (SDCG) to more effectively cluster nodes in a graph by iteratively training the embedding model to produce embedding vectors with improved clustering results. Through extensive experiments, we demonstrate that SDCG outperforms the conventional approach of performing embedding and clustering independently.","PeriodicalId":211080,"journal":{"name":"2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116724559","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

Fake News Detection Using Machine Learning Techniques 利用机器学习技术检测假新闻

2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA) Pub Date : 2023-05-23 DOI: 10.1109/SERA57763.2023.10197712

Achhiya Sultana, Mahmudul Islam, Mahady Hasan, F. Ahmed

{"title":"Fake News Detection Using Machine Learning Techniques","authors":"Achhiya Sultana, Mahmudul Islam, Mahady Hasan, F. Ahmed","doi":"10.1109/SERA57763.2023.10197712","DOIUrl":"https://doi.org/10.1109/SERA57763.2023.10197712","url":null,"abstract":"A lot of information is spread by people in the social media to update their status and share crucial news with others. But the majority of these platforms don’t promptly validate the individuals or their posts and people aren’t able to identify the fake news manually. Therefore, there is a need for an automated system capable of detecting fake news. This research has proposed to build a model using four machine learning algorithms. The dataset employed in the experiment is a composite of two datasets containing almost equal amounts of true and fake news articles on politics. The preprocessing stages begin with cleaning the data by removing punctuation, tokenization, special characters, white spaces, redundant word elimination, numerals, and English letters followed by stemming and stop with data discretization. Then, we analyzed the collected data and 80% of the data has been used to train each model initially. After that, the four manifested classification algorithms are applied. For identifying fake news from news articles, meth-ods like Logistic Regression, Decision Tree, Random Forest, and Gradient Boosting Classifier were used. The trained classifiers’ accuracy has been evaluated using the remaining 20% of the data. The results show that the decision tree model produces the best accuracy of 99.60% and gradient boosting of 99.55%. Besides, the random forest shows 99.10% along with the logistic regression 98.99%. Moreover, we have explored the best model to achieve the highest precision, recall, F1-score based on the confusion matrix’s outcome.","PeriodicalId":211080,"journal":{"name":"2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116472690","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

Consideration of Semantics between Q&A Statements to Obtain Factor Score 考虑问答语句之间的语义以获得因子得分

2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA) Pub Date : 2023-05-23 DOI: 10.1109/SERA57763.2023.10197794

Yuya Yokoyama

引用次数: 0

Cloud-based Digital Twins Storage in Emergency Healthcare 紧急医疗保健中基于云的数字孪生存储

2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA) Pub Date : 2023-05-23 DOI: 10.1109/SERA57763.2023.10197705

Erdan Wang, Pouria Tayebi, Yeong-Tae Song

{"title":"Cloud-based Digital Twins Storage in Emergency Healthcare","authors":"Erdan Wang, Pouria Tayebi, Yeong-Tae Song","doi":"10.1109/SERA57763.2023.10197705","DOIUrl":"https://doi.org/10.1109/SERA57763.2023.10197705","url":null,"abstract":"In this paper, we explore the potential of utilizing Digital Twin (DT) technology for real-time data storage and processing in emergency healthcare. Focusing on Internet of Things (IoT) and cloud computing technologies, we investigate various enabling technologies, including cloud platforms, data transmission formats, and storage file formats, to develop a feasible DT storage solution for emergency healthcare. Through our analysis, we find Amazon AWS to be the most suitable cloud platform due to its sophisticated real-time data processing and analytical tools. Additionally, we determine that the MQTT protocol is suitable for real-time medical data transmission, and FHIR is the most appropriate medical file storage format for emergency healthcare situations.We propose a cloud-based DT storage solution, in which real-time medical data is transmitted to AWS IoT Core, processed by Kinesis Data Analytics, and stored securely in AWS HealthLake. Despite the feasibility of the proposed solution, challenges such as insufficient access control, lack of encryption, and vendor conformity must be addressed for successful practical implementation. Future work may involve incorporating Hyperledger Fabric technology and HTTPS protocol to enhance security, while the maturation of DT technology is expected to resolve vendor conformity issues. By addressing these challenges, our proposed DT storage solution has the potential to improve data accessibility and decision-making in emergency healthcare settings.","PeriodicalId":211080,"journal":{"name":"2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131463586","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

A Library-Based Approach for Writing Design Assertions 基于库的设计断言编写方法

2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA) Pub Date : 2023-05-23 DOI: 10.1109/SERA57763.2023.10197770

Yoonsik Cheon, R. Lozano, Rajasoundarya Senthil Prabhu

引用次数: 0

Deep Learning Model to Improve the Stability of Damage Identification via Output-only Signal 基于只输出信号的深度学习模型提高损伤识别的稳定性

2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA) Pub Date : 2023-05-23 DOI: 10.1109/SERA57763.2023.10197684

Jongyeop Kim, Jinki Kim, M. Sands, Seongsoo Kim

引用次数: 0

Towards an Adversarial Machine Learning Framework in Cyber-Physical Systems 面向网络物理系统中的对抗性机器学习框架

2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA) Pub Date : 2023-05-23 DOI: 10.1109/SERA57763.2023.10197774

John Mulo, Pu Tian, Adamu Hussaini, Hengshuo Liang, Wei Yu

{"title":"Towards an Adversarial Machine Learning Framework in Cyber-Physical Systems","authors":"John Mulo, Pu Tian, Adamu Hussaini, Hengshuo Liang, Wei Yu","doi":"10.1109/SERA57763.2023.10197774","DOIUrl":"https://doi.org/10.1109/SERA57763.2023.10197774","url":null,"abstract":"The applications of machine learning (ML) in cyber-physical systems (CPS), such as the smart energy grid has increased significantly. While ML technology can be integrated into CPS, the security risk of ML technology has to be considered. In particular, adversarial examples provide inputs to a ML model with intentionally attached perturbations (noise) that could pose the model to make incorrect decisions. Perturbations are expected to be small or marginal so that adversarial examples could be invisible to humans, but can significantly affect the output of ML models. In this paper, we design a taxonomy to provide the problem space for investigating the adversarial example generation techniques based on state-of-the-art literature. We propose a three-dimensional framework containing three dimensions for adversarial attack scenarios (i.e., black-box, white-box, and gray-box), target type, and adversarial examples generation methods (gradient-based, score-based, decision-based, transfer- based, and others). Based on the designed taxonomy, we systematically review the existing research efforts on adversarial ML in representative CPS (i.e., transportation, healthcare, and energy). Furthermore, we provide one case study to demonstrate the impact of adversarial examples of attacks on a smart energy CPS deployment. The results indicate that the accuracy can decrease significantly from 92.62% to 55.42% with a 30% adversarial sample injection. Finally, we discuss potential countermeasures and future research directions for adversarial ML.","PeriodicalId":211080,"journal":{"name":"2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA)","volume":"240 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128621600","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