Applied Computing Review最新文献_第3页

SocioPedia: Visualizing Social Knowledge over Time 社会化媒体:随着时间的推移可视化社会知识

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577660

Try My Nguyen, Jason J. Jung

引用次数: 0

Expressive and Systematic Risk Assessments with Instance-Centric Threat Models 基于实例中心威胁模型的表达性和系统性风险评估

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577668

Stef Verreydt, Dimitri Van Landuyt, W. Joosen

{"title":"Expressive and Systematic Risk Assessments with Instance-Centric Threat Models","authors":"Stef Verreydt, Dimitri Van Landuyt, W. Joosen","doi":"10.1145/3555776.3577668","DOIUrl":"https://doi.org/10.1145/3555776.3577668","url":null,"abstract":"A threat modeling exercise involves systematically assessing the likelihood and potential impact of diverse threat scenarios. As threat modeling approaches and tools act at the level of a software architecture or design (e.g., a data flow diagram), they consider threat scenarios at the level of classes or types of system elements. More fine-grained analyses in terms of concrete instances of these elements are typically not conducted explicitly nor rigorously. This hinders (i) expressiveness, as threats that require articulation at the level of instances can not be expressed nor managed properly, and (ii) systematic risk calculation, as risk cannot be expressed and estimated with respect to instance-level properties. In this paper, we present a novel threat modeling approach that acts on two layers: (i) the design layer defines the classes and entity types in the system, and (ii) the instance layer models concrete instances and their properties. This, in turn, allows both rough risk estimates at the design-level, and more precise ones at the instance-level. Motivated by a connected vehicles application, we present the key challenges, the modeling approach and a tool prototype. The presented approach is a key enabler for more continuous and frequent threat (re-)assessment, the integration of threat analysis models in CI/CD pipelines and agile development environments on the one hand (development perspective), and in risk management approaches at run-time (operations perspective).","PeriodicalId":42971,"journal":{"name":"Applied Computing Review","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78860802","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

Traffic Intersections as Agents: A model checking approach for analysing communicating agents 交通交叉口作为agent:一种分析通信agent的模型检验方法

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577720

Thamilselvam B, Y. Ramesh, S. Kalyanasundaram, M. Rao

引用次数: 0

Deduplication vs Privacy Tradeoffs in Cloud Storage 云存储中的重复数据删除与隐私权衡

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577711

Rodrigo de Magalhães Marques dos Santos Silva, Cláudio Correia, M. Correia, Luís Rodrigues

引用次数: 0

Mapping Strategies for Declarative Queries over Online Heterogeneous Biological Databases for Intelligent Responses 面向智能响应的在线异构生物数据库声明性查询映射策略

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577652

H. Jamil, Kallol Naha

{"title":"Mapping Strategies for Declarative Queries over Online Heterogeneous Biological Databases for Intelligent Responses","authors":"H. Jamil, Kallol Naha","doi":"10.1145/3555776.3577652","DOIUrl":"https://doi.org/10.1145/3555776.3577652","url":null,"abstract":"The emergence of Alexa and Siri, and more recently, OpenAI's Chat-GPT, raises the question whether ad hoc biological queries can also be computed without end-users' active involvement in the code writing process. While advances have been made, current querying architectures for biological databases still assume some degree of computational competence and significant structural awareness of the underlying network of databases by biologists, if not active code writing. Given that biological databases are highly distributed and heterogeneous, and most are not FAIR compliant, a significant amount of expertise in data integration is essential for a query to be accurately crafted and meaningfully executed. In this paper, we introduce a flexible and intelligent query reformulation assistant, called Needle, as a back-end query execution engine of a natural language query interface to online biological databases. Needle leverages a data model called BioStar that leverages a meta-knowledgebase, called the schema graph, to map natural language queries to relevant databases and biological concepts. The implementation of Needle using BioStar is the focus of this article.","PeriodicalId":42971,"journal":{"name":"Applied Computing Review","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89067093","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 General and NLP-based Architecture to perform Recommendation: A Use Case for Online Job Search and Skills Acquisition 执行推荐的通用和基于nlp的架构:用于在线工作搜索和技能获取的用例

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577844

Rubén Alonso, D. Dessí, Antonello Meloni, Diego Reforgiato Recupero

引用次数: 0

Prediction of readmissions in hospitalized children and adolescents by machine learning 利用机器学习预测住院儿童和青少年的再入院情况

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577592

Nayara Cristina da Silva, M. Albertini, A. R. Backes, G. Pena

引用次数: 0

Analysis of active semi-supervised learning 主动半监督学习分析

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577621

Lilian Berton, Felipe Mitsuishi, Didier Vega Oliveros

引用次数: 0

Detecting Suspicious Conditional Statement using App Execution Log 使用应用程序执行日志检测可疑条件语句

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577722

Sumin Lee, Minho Park, Jiman Hong

{"title":"Detecting Suspicious Conditional Statement using App Execution Log","authors":"Sumin Lee, Minho Park, Jiman Hong","doi":"10.1145/3555776.3577722","DOIUrl":"https://doi.org/10.1145/3555776.3577722","url":null,"abstract":"Because1 the logic bomb performs malicious behaviors only within the branch that triggers the malicious behaviors, if the branch can be easily found, malicious behaviors can be detected efficiently. Existing malicious app analysis tools look for branches that trigger malicious behaviors based on static analysis, so if reflection is used in the app, this branch statement cannot be found properly. Therefore, in this paper, we propose an app execution log-based suspicious conditional statement detection tool that can detect suspicious conditional statements even when reflection is used. The proposed detection tool which is implemented on the android-10.0.0_r47 version of AOSP(Android Open Source Project) can check the branch statement and information about called method while the app is executing, including the method called by reflection. Also, since suspicious conditional statements are detected by checking the method call flow related to branch statements in the execution log, there is no need to examine all branch statements in the app. Experimental results show that the proposed detection tool can detect suspicious conditional statements regardless of the use of reflection.","PeriodicalId":42971,"journal":{"name":"Applied Computing Review","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90075158","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

Graph Convolutional Neural Network for Multimodal Movie Recommendation 多模态电影推荐的图卷积神经网络

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577853

Prabir Mondal, Daipayan Chakder, Subham Raj, S. Saha, N. Onoe

引用次数: 2