Applied Computing Review最新文献_第10页

zCeph: Achieving High Performance On Storage System Using Small Zoned ZNS SSD zCeph:在存储系统上使用小分区ZNS SSD实现高性能

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577758

Jin-Yong Ha, H. Yeom

引用次数: 1

Reducing Power Consumption during Server Maintenance on Edge Computing Infrastructures 降低边缘计算基础设施维护服务器的功耗

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577739

Felipe Rubin, Paulo S. Souza, T. Ferreto

引用次数: 0

Student Research Abstract: SplitChain: Blockchain with fully decentralized dynamic sharding resilient to fast adaptive adversaries 摘要:SplitChain:具有完全去中心化动态分片的区块链，具有快速适应对手的弹性

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577207

Arthur Rauch

引用次数: 0

Free Willy: Prune System Calls to Enhance Software Security Free Willy:减少系统调用以增强软件安全性

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577593

Charlie Groh, Sergej Proskurin, Apostolis Zarras

{"title":"Free Willy: Prune System Calls to Enhance Software Security","authors":"Charlie Groh, Sergej Proskurin, Apostolis Zarras","doi":"10.1145/3555776.3577593","DOIUrl":"https://doi.org/10.1145/3555776.3577593","url":null,"abstract":"Many privilege escalation exploits on Linux abuse vulnerable system calls to threaten the system's security. Therefore, various static and dynamic analysis based seccomp policy generation frameworks emerged. Yet, they either focus on a subset of the available binaries or are constrained by the inherent properties of dynamic, testing-based analysis, which are prone to false negatives. In this paper, we present Jesse, a static-analysis-based framework for generating seccomp policies for ELF binaries. We design and implement an abstract-interpretation-based constant propagation that helps the analyst identify vital system calls for arbitrary, non-obfuscated binaries. Using the extracted results, Jesse allows producing effective seccomp policies, reducing the system's attack vector. To assess Jesse's effectiveness and accuracy, we have applied our system to over 1,000 ELF binaries for Debian 10, and show that---contrary to existing solutions---Jesse produces accurate and safely approximated results, without relying on any properties of the target binaries. In addition, we conduct a case study in which we combine Jesse's constant propagation strategy with container debloating techniques to produce seccomp policies that restrict up to five times more system calls than the Docker's default seccomp policy on average.","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":"90065825","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

Modeling a Conversational Agent using BDI Framework 使用BDI框架对会话代理建模

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577657

Alexandre Yukio Ichida, Felipe Meneguzzi

引用次数: 0

Zero-Shot Taxonomy Mapping for Document Classification 用于文档分类的零采样分类法映射

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577653

L. Bongiovanni, Luca Bruno, Fabrizio Dominici, Giuseppe Rizzo

{"title":"Zero-Shot Taxonomy Mapping for Document Classification","authors":"L. Bongiovanni, Luca Bruno, Fabrizio Dominici, Giuseppe Rizzo","doi":"10.1145/3555776.3577653","DOIUrl":"https://doi.org/10.1145/3555776.3577653","url":null,"abstract":"Classification of documents according to a custom internal hierarchical taxonomy is a common problem for many organizations that deal with textual data. Approaches aimed to address this challenge are, for the vast majority, supervised methods, which have the advantage of producing good results on specific datasets, but the major drawbacks of requiring an entire corpus of annotated documents, and the resulting models are not directly applicable to a different taxonomy. In this paper, we aim to contribute to this important issue, by proposing a method to classify text according to a custom hierarchical taxonomy entirely without the need of labelled data. The idea is to first leverage the semantic information encoded into pre-trained Deep Language Models to assigned a prior relevance score for each label of the taxonomy using zero-shot, and secondly take advantage of the hierarchical structure to reinforce this prior belief. Experiments are conducted on three hierarchically annotated datasets: WebOfScience, DBpedia Extracts and Amazon Product Reviews, which are very diverse in the type of language adopted and have taxonomy depth of two and three levels. We first compare different zero-shot methods, and then we show that our hierarchy-aware approach substantially improves results across every dataset.","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":"79385181","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 Biomedical Entity Extraction Pipeline for Oncology Health Records in Portuguese 葡萄牙语肿瘤健康记录的生物医学实体提取管道

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3578577

Hugo Sousa, Arian Pasquali, Alípio Jorge, Catarina Sousa Santos, M'ario Amorim Lopes

{"title":"A Biomedical Entity Extraction Pipeline for Oncology Health Records in Portuguese","authors":"Hugo Sousa, Arian Pasquali, Alípio Jorge, Catarina Sousa Santos, M'ario Amorim Lopes","doi":"10.1145/3555776.3578577","DOIUrl":"https://doi.org/10.1145/3555776.3578577","url":null,"abstract":"Textual health records of cancer patients are usually protracted and highly unstructured, making it very time-consuming for health professionals to get a complete overview of the patient's therapeutic course. As such limitations can lead to suboptimal and/or inefficient treatment procedures, healthcare providers would greatly benefit from a system that effectively summarizes the information of those records. With the advent of deep neural models, this objective has been partially attained for English clinical texts, however, the research community still lacks an effective solution for languages with limited resources. In this paper, we present the approach we developed to extract procedures, drugs, and diseases from oncology health records written in European Portuguese. This project was conducted in collaboration with the Portuguese Institute for Oncology which, besides holding over 10 years of duly protected medical records, also provided oncologist expertise throughout the development of the project. Since there is no annotated corpus for biomedical entity extraction in Portuguese, we also present the strategy we followed in annotating the corpus for the development of the models. The final models, which combined a neural architecture with entity linking, achieved F1 scores of 88.6, 95.0, and 55.8 per cent in the mention extraction of procedures, drugs, and diseases, respectively.","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":"75786805","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

Deep-Learning based Trust Management with Self-Adaptation in the Internet of Behavior 行为网络中基于深度学习的自适应信任管理

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577694

Hind Bangui, Emilia Cioroaica, Mouzhi Ge, Barbora Buhnova

{"title":"Deep-Learning based Trust Management with Self-Adaptation in the Internet of Behavior","authors":"Hind Bangui, Emilia Cioroaica, Mouzhi Ge, Barbora Buhnova","doi":"10.1145/3555776.3577694","DOIUrl":"https://doi.org/10.1145/3555776.3577694","url":null,"abstract":"Internet of Behavior (IoB) has emerged as a new research paradigm within the context of digital ecosystems, with the support for understanding and positively influencing human behavior by merging behavioral sciences with information technology, and fostering mutual trust building between humans and technology. For example, when automated systems identify improper human driving behavior, IoB can support integrated behavioral adaptation to avoid driving risks that could lead to hazardous situations. In this paper, we propose an ecosystem-level self-adaptation mechanism that aims to provide runtime evidence for trust building in interaction among IoB elements. Our approach employs an indirect trust management scheme based on deep learning, which has the ability to mimic human behaviour and trust building patterns. In order to validate the model, we consider Pay-How-You-Drive vehicle insurance as a showcase of a IoB application aiming to advance the adaptation of business incentives based on improving driver behavior profiling. The experimental results show that the proposed model can identify different driving states with high accuracy, to support the IoB applications.","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":"80312584","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: 2

A DTW Approach for Complex Data A Case Study with Network Data Streams 复杂数据的DTW方法——以网络数据流为例

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577638

Paula Raissa Silva, João Vinagre, J. Gama

{"title":"A DTW Approach for Complex Data A Case Study with Network Data Streams","authors":"Paula Raissa Silva, João Vinagre, J. Gama","doi":"10.1145/3555776.3577638","DOIUrl":"https://doi.org/10.1145/3555776.3577638","url":null,"abstract":"Dynamic Time Warping (DTW) is a robust method to measure the similarity between two sequences. This paper proposes a method based on DTW to analyse high-speed data streams. The central idea is to decompose the network traffic into sequences of histograms of packet sizes and then calculate the distance between pairs of such sequences using DTW with Kullback-Leibler (KL) distance. As a baseline, we also compute the Euclidean Distance between the sequences of histograms. Since our preliminary experiments indicate that the distance between two sequences falls within a different range of values for distinct types of streams, we then exploit this distance information for stream classification using a Random Forest. The approach was investigated using recent internet traffic data from a telecommunications company. To illustrate the application of our approach, we conducted a case study with encrypted Internet Protocol Television (IPTV) network traffic data. The goal was to use our DTW-based approach to detect the video codec used in the streams, as well as the IPTV channel. Results strongly suggest that the DTW distance value between the data streams is highly informative for such classification tasks.","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":"77968707","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

Aging and rejuvenating strategies for fading windows in multi-label classification on data streams 数据流多标签分类中衰落窗口的老化与恢复策略

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577625

M. Roseberry, S. Džeroski, A. Bifet, Alberto Cano

引用次数: 1