2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)最新文献_第7页

Confront Phishing Attacks — from a Perspective of Security Education 面对网络钓鱼攻击——从安全教育的角度

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923444

T. Takata, Kanayo Ogura

{"title":"Confront Phishing Attacks — from a Perspective of Security Education","authors":"T. Takata, Kanayo Ogura","doi":"10.1109/ICAwST.2019.8923444","DOIUrl":"https://doi.org/10.1109/ICAwST.2019.8923444","url":null,"abstract":"Recently, targeted attacks are drastically increasing in both indivduals and companies. For technical countermeasure against such a targeted attack, various methods such as email/web contents analysis etc., are developed and realized. However, as it is often said, attackers precisely exploit the most vulnerable part in order to achieve their goals.Therefore, spear phishing against human user is employed for such attacks in a large propotion. Moreover, in order to increase success probability of such attacks, attackers often adopt social engineering technique.In this paper, we present a current effort of our research group on combating targeted attacks employing spear phishing with using social engineering, through user education.Specifically, at first we present relationship between human psychological characteristics and vulnerability against social engineering. The result can be used for testing whether a user has vulnerability on some social engineering technique, and the testing result can be utilized for countermeasure or user’s training.Secondly, we present development of a web-based self learning material for countermeasure against social engineering which employs interactive motion picture contents.","PeriodicalId":156538,"journal":{"name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133210012","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: 6

Cyberbullying Detection on Twitter using Multiple Textual Features 使用多文本特征的Twitter网络欺凌检测

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923186

Jianwei Zhang, Taiga Otomo, Lin Li, Shinsuke Nakajima

引用次数: 17

Effective Dual-images based Reversible Information Hiding Scheme based on Complexity Analysis and Thresholds Controlling 基于复杂度分析和阈值控制的有效双图像可逆信息隐藏方案

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923492

T. Lu, Jau-Ji Shen, Ting-Chi Chang

引用次数: 0

A Deep Learning Model for Dimensional ValenceArousal Intensity Prediction in Stock Market 基于深度学习的股票市场维数波动强度预测模型

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923244

Jheng-Long Wu, Chi-Sheng Yang, Kai-Hsuan Liu, Min-Tzu Huang

{"title":"A Deep Learning Model for Dimensional ValenceArousal Intensity Prediction in Stock Market","authors":"Jheng-Long Wu, Chi-Sheng Yang, Kai-Hsuan Liu, Min-Tzu Huang","doi":"10.1109/ICAwST.2019.8923244","DOIUrl":"https://doi.org/10.1109/ICAwST.2019.8923244","url":null,"abstract":"This paper proposes a dimensional valence-arousal method to define sentiment status in the stock market. In the past, many kinds of research have focused on the valence sentiment on stock messages because it represents the stock trend such as upward and downward. In this case, if the stock price jumps or collapses (positive/negative trend) in the short term, the investor will necessarily need to immediately trade at this moment, but some case is not. Therefore, the valence-arousal method can be used to define the trend intensity and trading intensity for a stock message of the stock market. In order to obtain a powerful prediction model to learn the intensity of trend and trading of a stock message that we propose a keyword-based attention network into Hierarchical Attention Networks (HAN), namely HKAN model, to learn the relation between dimensional sentiments (trend and trading) and stock messages. The experimental results show that our proposed HKAN model for stock VA prediction has outperformed other baseline models such as HAN and Hierarchical Hybrid Attention Networks.","PeriodicalId":156538,"journal":{"name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115516194","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: 6

A Study of Influences of Social Network Awareness on MOOC Learner Behaviors: Case of Chulalongkorn University Free MOOC 社会网络意识对MOOC学习者行为的影响研究——以朱拉隆功大学免费MOOC为例

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923422

N. Cooharojananone, Orawun Moolpun, Pitchapa Pawong, Jidapa Dilokpabhapbhat, Thanaporn Rimnong-ang, Manutsaya Choosuwan, Pattamon Bunram, Suporn Pongnumkul

{"title":"A Study of Influences of Social Network Awareness on MOOC Learner Behaviors: Case of Chulalongkorn University Free MOOC","authors":"N. Cooharojananone, Orawun Moolpun, Pitchapa Pawong, Jidapa Dilokpabhapbhat, Thanaporn Rimnong-ang, Manutsaya Choosuwan, Pattamon Bunram, Suporn Pongnumkul","doi":"10.1109/ICAwST.2019.8923422","DOIUrl":"https://doi.org/10.1109/ICAwST.2019.8923422","url":null,"abstract":"In 2017, Chulalongkorn University has started an online learning platform providing many interesting courses by Chulalongkorn University lecturers that allows anyone to learn for free (Chula MOOC). However, each course is opened for certain period of time. If any courses are popular, they will be re-opened for the next batch. For each batch, a Facebook group is created to connect between learners and the instructor. However, we noticed that even in some popular courses, there are some learners who completed the course and some who did not complete the course. From this problem, we think that the data from each course Facebook group might give us some useful information related to the motivation behavior to finish the course. Therefore, in this work, we analyzed data from Facebook graph API from a popular course in three batches using statistics. Data consists of the amount of activities, instructor activities, learners’ activities and instructor and learners’ interaction activities. We also used some information from Chula MOOC platform. The result shows that the Facebook group is an area where students participate in the interaction, which has helped to motivate other learners in the group or who may not be interested to continue their learning or complete their learning. We also introduce that the chatbot could help to motivate the students to complete their course. For example, sending the messages to encourage others or asking students in the time that seem to be more dropout. Currently, we are developing the chatbot for checking the hypothesis further.","PeriodicalId":156538,"journal":{"name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121356100","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

Breast Cancer Detection Based on Medio-Lateral ObliqueView and Cranio-Caudal View Mammograms: An Overview 基于中外侧斜位和颅尾位乳房x线片的乳腺癌检测:综述

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923184

S. Sasikala, M. Bharathi, M. Ezhilarasi, S. Arunkumar

引用次数: 3

A Framework for Usability Design to Promote Awareness of Information Disseminated via Mobile Government Applications 一个可用性设计框架，以提高通过移动政府应用程序传播信息的意识

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923454

Pinnaree Kureerung, L. Ramingwong

{"title":"A Framework for Usability Design to Promote Awareness of Information Disseminated via Mobile Government Applications","authors":"Pinnaree Kureerung, L. Ramingwong","doi":"10.1109/ICAwST.2019.8923454","DOIUrl":"https://doi.org/10.1109/ICAwST.2019.8923454","url":null,"abstract":"Mobile application have become the first choice for disseminating information in several situations. Many government agencies developed m-government applications, mainly for information dissemination and electronic services delivery. Information has great effects to citizen’s life in several ways. Warning messages are an obvious example. They are usually provided to people in affected or risk areas. Effective information dissemination of such information requires more than assembling them on the user interface. It requires a careful design. Designing how they are presented is not an easy task. Moreover, effective and efficient presentation can be difficult. Appropriate presentation aids in understanding of information and gives the correct clue on what to do next. This paper presents the analysis of usability factors to support design and development of m-government applications which main task is information dissemination. Existing usability models were analyzed. Hundreds of publications in related areas were reviewed. Then, usability factors to m-government applications were collected and clustered. The usability design framework is proposed to promote effective use of the usability factors in the development process. The framework is designed to support incorporation of usability factors that lead to usable interface. The factors included in the framework are Learnability Satisfaction, Memorability, Simplicity, Privacy, and Security.","PeriodicalId":156538,"journal":{"name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117032371","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: 5

Improvement of ECG based Personal Identification Performance in Different Bathtub Water Temperature by CNN CNN改善浴缸水温下基于ECG的个人识别性能

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923503

Jianbo Xu, Tianhui Li, Peng Cui, Wenxi Chen

{"title":"Improvement of ECG based Personal Identification Performance in Different Bathtub Water Temperature by CNN","authors":"Jianbo Xu, Tianhui Li, Peng Cui, Wenxi Chen","doi":"10.1109/ICAwST.2019.8923503","DOIUrl":"https://doi.org/10.1109/ICAwST.2019.8923503","url":null,"abstract":"This paper aims at exploring the variety of Electrocardiogram(ECG) interval and amplitude during different bathtub water temperature and eliminating their influence on personal identification with ECG. There are 10 subjects in the experiment, each subject collects 2 ECG recordings, each recording is at least 220 s. One recording is collected at 38±0.5 °C bathtub water temperature and the other recording is collected at 42±0.5 °C bathtub water temperature. All the raw ECG are removed baseline drift and normalized, then the R peaks are detected and all the R-R interval(RRI) and amplitude are calculated. Through statistical analysis method, we find that the median of RRI in low bathtub water temperature is bigger than in high bathtub water temperature for all subjects, and compared with low bathtub water temperature, the variety of R peaks amplitude has 3 situations in high bathtub water temperature: increase, decrease and unchanged. Then all the QRS complex are segmented and are taken as training data and test data. During the training stage, there are 3340 training datasets, 1670 training datasets are from low bathing water temperature and the other 1670 training datasets are from high bathing water temperature. In the testing stage, first we use 410 testing data which are from low bathtub water temperature to test the trained model, the best and robust identification rate is 87.07%, when we use the other 410 testing data which are from high bathtub water temperature to test the trained model, the best and robust identification rate is 87.32%. To the best of our knowledge, this is the first time to explore the variety of ECG interval and amplitude during different bathing water temperature. However, further improvements are still needed during different bathing environment.","PeriodicalId":156538,"journal":{"name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","volume":"198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114279950","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: 3

Estimation of the Kansei Information obtained from Musical Scores via Machine Learning Algorithms : - Classification of Tempo into Two Classes Using Only Information Available in Musical Scores - 通过机器学习算法估计从乐谱中获得的感性信息:-仅使用乐谱中可用的信息将节奏分为两类-

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/ICAwST.2019.8923480

Satoshi Kawamura, Zhongda Liu, H. Yoshida

引用次数: 0

iCAST 2019 Cover Page iCAST 2019封面

2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST) Pub Date : 2019-10-01 DOI: 10.1109/icawst.2019.8923272

引用次数: 0