Applied Computing Review最新文献_第10页

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

A Synthetic Dataset Generation for the Uveitis Pathology Based on MedWGAN Model 基于MedWGAN模型的葡萄膜炎病理合成数据集生成

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577648

Heithem Sliman, I. Megdiche, Sami Yangui, Aida Drira, Ines Drira, E. Lamine

{"title":"A Synthetic Dataset Generation for the Uveitis Pathology Based on MedWGAN Model","authors":"Heithem Sliman, I. Megdiche, Sami Yangui, Aida Drira, Ines Drira, E. Lamine","doi":"10.1145/3555776.3577648","DOIUrl":"https://doi.org/10.1145/3555776.3577648","url":null,"abstract":"Artificial Intelligence (AI) has undergone considerable development in recent years in the field of medicine and in particular in decision support diagnostic. However, the development of such algorithms depends on the presence of a sufficiently large amount of data to provide reliable results. Unfortunately in medicine, it is not always possible to provide so much data on all pathologies. This problem is particularly true for rare diseases. In this paper we focus on uveitis, a rare disease in ophthalmology which is the third cause of blindness worldwide. This pathology is difficult to diagnose because of the disparity in prevalence of its etiologies. In order to provide physicians with a diagnostic aid system, it would be necessary to have a representative dataset of epidemiological profiles that have been studied for a long time in this domain. This work proposes a breakthrough in this field by suggesting a methodological framework for the generation of an open source dataset based on the crossing of several epidemiological profiles and using data augmentation techniques. The results of these generated synthetic data have been qualitatively validated by specialist physicians in ophthalmology. Our results are very promising and consist in a first brick to promote research in AI on Uveitis disease.","PeriodicalId":42971,"journal":{"name":"Applied Computing Review","volume":"102 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90651227","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

Generic Privacy Preserving Private Permissioned Blockchains 通用隐私保护私有许可区块链

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577735

Frederic A. Hayek, Mirko Koscina, P. Lafourcade, Charles Olivier-Anclin

引用次数: 1

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":"12 1","pages":""},"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

Unsupervised Forecasting and Anomaly Detection of ADLs in single-resident elderly smart homes 单居老年人智能家居中ADLs的无监督预测与异常检测

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577822

Zahraa Khais Shahid, S. Saguna, C. Åhlund

{"title":"Unsupervised Forecasting and Anomaly Detection of ADLs in single-resident elderly smart homes","authors":"Zahraa Khais Shahid, S. Saguna, C. Åhlund","doi":"10.1145/3555776.3577822","DOIUrl":"https://doi.org/10.1145/3555776.3577822","url":null,"abstract":"As the aging population increases, predictive health applications for the elderly can provide opportunities for more independent living, increase cost efficiency and improve the quality of health services for senior citizens. Human activity recognition within IoT-based smart homes can enable detection of early health risks related to mild cognitive impairment by providing proactive measurements and interventions to both the elderly and supporting healthcare givers. In this paper, we develop and evaluate a method to forecast activities of daily living (ADL) and detect anomalous behaviour using motion sensor data from smart homes. We build a predictive Multivariate long short term memory (LSTM) model for forecasting activities and evaluate it using data from six real-world smart homes. Further, we use Mahalanobis distance to identify anomalies in user behaviors based on predictions and actual values. In all of the datasets used for forecasting both duration of stay and level of activities using duration of activeness/stillness features, the max NMAE error was about 6%, the values show that the performance of LSTM for predicting the direct next activity versus the seven coming activities are close.","PeriodicalId":42971,"journal":{"name":"Applied Computing Review","volume":"51 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81874960","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

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":"4 1","pages":""},"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

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

Software Aging in a Real-Time Object Detection System on an Edge Server 边缘服务器实时目标检测系统中的软件老化问题

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577717

Kengo Watanabe, F. Machida, E. Andrade, R. Pietrantuono, Domenico Cotroneo

{"title":"Software Aging in a Real-Time Object Detection System on an Edge Server","authors":"Kengo Watanabe, F. Machida, E. Andrade, R. Pietrantuono, Domenico Cotroneo","doi":"10.1145/3555776.3577717","DOIUrl":"https://doi.org/10.1145/3555776.3577717","url":null,"abstract":"Real-time object detection systems are rapidly adopted in many edge computing systems for IoT applications. Since the computational resources on edge devices are often limited, continuous real-time object detection may suffer from the degradation of performance and reliability due to software aging. To provide a reliable IoT applications, it is crucial to understand how software aging can manifest in object detection systems under resource-constrained environment. In this paper, we investigate the software aging issue in a real-time object detection system using YOLOv5 running on a Raspberry Pi-based edge server. By performing statistical analysis on the measurement data, we detected a suspicious trend of software aging in the memory usage, which is induced by real-time object detection workloads. We also observe that a system monitoring process is halted due to the shortage of free storage space as a result of YOLOv5's resource dissipation. The monitoring process fails after 24.11, 44.56, and 115.36 hours (on average), when we set the sizes of input images to 160px, 320px, and 640px, respectively, in our system. Our experimental results can be used to plan countermeasures such as software rejuvenation and task offloading.","PeriodicalId":42971,"journal":{"name":"Applied Computing Review","volume":"1 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89101926","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

Security Verification Software Platform of Data-efficient Image Transformer Based on Fast Gradient Sign Method 基于快速梯度符号法的数据高效图像转换器安全验证软件平台

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Applied Computing Review Pub Date : 2023-03-27 DOI: 10.1145/3555776.3577731

In-pyo Hong, Gyu-ho Choi, Pan-koo Kim, Chang Choi

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