Journal of Information Processing最新文献

Demonstration Experiment of a System that Helps Users Select Educational Content Using Terms in Basic/advanced Relationships 基于基本/高级关系的词汇选择教学内容系统的演示实验

Journal of Information Processing Pub Date : 2023-01-01 DOI: 10.2197/ipsjjip.31.766

Shoko Fujii, Shinya Abe, Satoshi Fujitsu, Kinji Matsumura, Hiroshi Fujisawa

{"title":"Demonstration Experiment of a System that Helps Users Select Educational Content Using Terms in Basic/advanced Relationships","authors":"Shoko Fujii, Shinya Abe, Satoshi Fujitsu, Kinji Matsumura, Hiroshi Fujisawa","doi":"10.2197/ipsjjip.31.766","DOIUrl":"https://doi.org/10.2197/ipsjjip.31.766","url":null,"abstract":"With a range of learning platforms available on the Internet and the increasing use of video content in education, there have been many studies on using ontologies to support education and learning. However, in many cases, the connections among content systematized in this way are confined within a subject, and there is no learning across subjects or expansion of learners' interests beyond individual subjects. We aimed to connect all educational content in a way that goes beyond school subjects and curricula. In this study, we re-examined the learning sequence of subject matter terms over the course of the learning process, redefined it as a set of basic/advanced relationships among the terms, and proposed a method of estimating the appropriate ordering of content for learning by structuring and utilizing this terminological attribute. We also prototyped a system incorporating our proposed method to help users select educational content and tested it in a proof-of-concept experiment. By comparing the textbook-based presentation of related content with our proposed cross-subject presentation, we identified each method's characteristics and confirmed the proposed method's effectiveness at expanding learners' interests.","PeriodicalId":16243,"journal":{"name":"Journal of Information Processing","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135703751","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

Container-native Managed Data Sharing 容器原生托管数据共享

Journal of Information Processing Pub Date : 2023-01-01 DOI: 10.2197/ipsjjip.31.689

Koichi Onoue, Masaru Ueno, Yui Noma

{"title":"Container-native Managed Data Sharing","authors":"Koichi Onoue, Masaru Ueno, Yui Noma","doi":"10.2197/ipsjjip.31.689","DOIUrl":"https://doi.org/10.2197/ipsjjip.31.689","url":null,"abstract":"Cross-industrial collaboration can yield disruptive innovations. However, there are fears regarding data sharing across different organizations. Even if data providers make contracts covering the data shared with their consumers, they will not be able to delete the shared data in accordance with the expiration dates and modify them after they were delivered to the consumers. Data consumers need to be extremely careful about management of shared data since huge penalties are imposed against violations of data protection laws. To allay these fears, we propose a system to handle external data management instead of data providers and consumers. In our system, containerized lifetime controllers delete expired shared data in accordance with contracts for shared data called life cycle policies. To allow only service programs stipulated in the policies to manipulate shared data, containerized volume controllers enforce the access control on the basis of the FUSE interceptions and the /proc file system. The proposed system is transparent to service programs because the containerized controllers run in execution environments that are separate from service programs. The proposed system can be applied to multiple container orchestration clusters in which a provider and consumer independently administer Kubernetes container orchestrators, as well as a single container orchestration cluster. We built a prototype system on Kubernetes container orchestrators presented by the Kubernetes community and public cloud service providers. Experimental results demonstrate that the proposed system achieves data sharing between a provider and consumer with moderate overheads for disk consumption of the containerized controllers, the extensions of the volume drivers, and execution time of the FUSE access control.","PeriodicalId":16243,"journal":{"name":"Journal of Information Processing","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135442524","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

Analysis and Consideration of Detection Methods to Prevent Fraudulent Access by Utilizing Attribute Information and the Access Log History 利用属性信息和访问日志历史防止欺诈访问的检测方法分析与思考

Journal of Information Processing Pub Date : 2023-01-01 DOI: 10.2197/ipsjjip.31.602

Michio Kunimoto, Takao Okubo

{"title":"Analysis and Consideration of Detection Methods to Prevent Fraudulent Access by Utilizing Attribute Information and the Access Log History","authors":"Michio Kunimoto, Takao Okubo","doi":"10.2197/ipsjjip.31.602","DOIUrl":"https://doi.org/10.2197/ipsjjip.31.602","url":null,"abstract":"Fraudulent access by way of nInternet banking, credit cards and e-commerce are a serious problem. Fraudsters intend to steal credentials and log in to these websites in many ways such as phishing, malware infection, list based attack etc. There are products and services to prevent fraudulent access like fraud detection software and multi-factor authentication, however these have issues such as installation costs, detection accuracy and operation cost. Some security vendors provide client-side software to prevent fraud, but it is usually difficult for the companies to compel their end-users to install additional software because it may cause trouble and decrease usability. Regarding these issues we are researching an effective fraud detection method using server-side log information. In this paper, we show results from analyzing the attacker device attribute information and the environmental differences between genuine users and fraudsters based on the access log history from actual services and found that the attacker's environment changes year by year. We also discuss the effectiveness of the fraud detection methods described in previous research and effective detection methods utilizing real-world data.","PeriodicalId":16243,"journal":{"name":"Journal of Information Processing","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135442744","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 Deeper Look into Deep Learning-based Output Prediction Attacks Using Weak SPN Block Ciphers 使用弱SPN块密码深入研究基于深度学习的输出预测攻击

Journal of Information Processing Pub Date : 2023-01-01 DOI: 10.2197/ipsjjip.31.550

Hayato Kimura, Keita Emura, Takanori Isobe, Ryoma Ito, Kazuto Ogawa, Toshihiro Ohigashi

{"title":"A Deeper Look into Deep Learning-based Output Prediction Attacks Using Weak SPN Block Ciphers","authors":"Hayato Kimura, Keita Emura, Takanori Isobe, Ryoma Ito, Kazuto Ogawa, Toshihiro Ohigashi","doi":"10.2197/ipsjjip.31.550","DOIUrl":"https://doi.org/10.2197/ipsjjip.31.550","url":null,"abstract":"Cryptanalysis in a blackbox setting using deep learning is powerful because it does not require the attacker to have knowledge about the internal structure of the cryptographic algorithm. Thus, it is necessary to design a symmetric key cipher that is secure against cryptanalysis using deep learning. Kimura et al. (AIoTS 2022) investigated deep learning-based attacks on the small PRESENT-[4] block cipher with limited component changes, identifying characteristics specific to these attacks which remain unaffected by linear/differential cryptanalysis. Finding such characteristics is important because exploiting such characteristics can make the target cipher vulnerable to deep learning-based attacks. Thus, this paper extends a previous method to explore clues for designing symmetric-key cryptographic algorithms that are secure against deep learning-based attacks. We employ small PRESENT-[4] with two weak S-boxes, which are known to be weak against differential/linear attacks, to clarify the relationship between classical and deep learning-based attacks. As a result, we demonstrated the success probability of our deep learning-based whitebox analysis tends to be affected by the success probability of classical cryptanalysis methods. And we showed our whitebox analysis achieved the same attack capability as traditional methods even when the S-box of the target cipher was changed to a weak one.","PeriodicalId":16243,"journal":{"name":"Journal of Information Processing","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135443098","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

Editor's Message to Special Issue of Computer Security Technologies for Secure Cyberspace 编者致《保障网络空间的计算机安全技术》特刊的寄语

Journal of Information Processing Pub Date : 2023-01-01 DOI: 10.2197/ipsjjip.31.522

Toshihiro Ohigashi

引用次数: 0

An Analysis of Susceptibility to Phishing via Business Chat through Online Survey 基于在线调查的商务聊天网络钓鱼易感性分析

Journal of Information Processing Pub Date : 2023-01-01 DOI: 10.2197/ipsjjip.31.609

Rei Yamagishi, Shota Fujii

引用次数: 0

MathTOUCH Editor: Rich-text Editor for Math E-learning Using an Intelligent Math Input Interface MathTOUCH编辑器:使用智能数学输入界面的数学电子学习的富文本编辑器

Journal of Information Processing Pub Date : 2023-01-01 DOI: 10.2197/ipsjjip.31.775

Shizuka Shirai, Takahiro Nakahara, Tetsuo Fukui

引用次数: 0

Type Checking Data Structures More Complex than Trees 类型检查数据结构比树更复杂

Journal of Information Processing Pub Date : 2023-01-01 DOI: 10.2197/ipsjjip.31.112

Jin Sano, Naoki Yamamoto, Kazunori Ueda

引用次数: 1

Understanding the Inconsistencies in the Permissions Mechanism of Web Browsers 了解Web浏览器权限机制的不一致性

Journal of Information Processing Pub Date : 2023-01-01 DOI: 10.2197/ipsjjip.31.620

Kazuki Nomoto, Takuya Watanabe, Eitaro Shioji, Mitsuaki Akiyama, Tatsuya Mori

{"title":"Understanding the Inconsistencies in the Permissions Mechanism of Web Browsers","authors":"Kazuki Nomoto, Takuya Watanabe, Eitaro Shioji, Mitsuaki Akiyama, Tatsuya Mori","doi":"10.2197/ipsjjip.31.620","DOIUrl":"https://doi.org/10.2197/ipsjjip.31.620","url":null,"abstract":"Modern Web services provide advanced features by utilizing hardware resources on the user's device. Web browsers implement a user consent-based permission model to protect user privacy. In this study, we developed PERMIUM, a web browser analysis framework that automatically analyzes the behavior of permission mechanisms implemented by various browsers. We systematically studied the behavior of permission mechanisms for 22 major browser implementations running on five different operating systems. We found fragmented implementations. Implementations between browsers running on different operating systems are not always identical. We determined that implementation inconsistencies could lead to privacy risks. We identified gaps between browser permission implementations and user perceptions from the user study corresponding to the analyses using PERMIUM. Based on the implementation inconsistencies, we developed two proof-of-concept attacks and evaluated their feasibility. The first attack uses permission information to secretly track the user. The second attack aims to create a situation in which the user cannot correctly determine the origin of the permission request and the user mistakenly grants permission. Finally, we clarify the technical issues that must be standardized in privacy mechanisms and provide recommendations to OS/browser vendors to mitigate the threats identified in this study.","PeriodicalId":16243,"journal":{"name":"Journal of Information Processing","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135442730","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

Cryptanalysis on End-to-End Encryption Schemes of Communication Tools and Its Research Trend 通信工具端到端加密方案的密码分析及其研究趋势

Journal of Information Processing Pub Date : 2023-01-01 DOI: 10.2197/ipsjjip.31.523

Takanori Isobe, Ryoma Ito, Kazuhiko Minematsu

引用次数: 0