2023 World Conference on Communication & Computing (WCONF)最新文献_第3页

Routing Techniques in Body Sensor Network System for Healthcare: Applications, Challenges, and Research Trends 医疗保健身体传感器网络系统中的路由技术:应用、挑战和研究趋势

2023 World Conference on Communication & Computing (WCONF) Pub Date : 2023-07-14 DOI: 10.1109/WCONF58270.2023.10235256

Chetan Pandey, Sachin Sharma, Priya Matta

引用次数: 0

Investigating the Performance of Bluetooth Technology by Sensor Monitoring in Industrial WSN 基于传感器监测的蓝牙技术在工业无线传感器网络中的性能研究

2023 World Conference on Communication & Computing (WCONF) Pub Date : 2023-07-14 DOI: 10.1109/WCONF58270.2023.10235061

Romil Jain

引用次数: 0

Identification Method and System of Abnormal Electricity Transaction Price Based on Alpha Convex Hull 基于Alpha凸包的异常电价识别方法及系统

2023 World Conference on Communication & Computing (WCONF) Pub Date : 2023-07-14 DOI: 10.1109/WCONF58270.2023.10235017

Zhongkang Wei, Tianbo Zhu

引用次数: 0

An Exploration of Real-Time Intrusion Detection and Prevention Systems for Next Generation Networks 面向下一代网络的实时入侵检测与防御系统探索

2023 World Conference on Communication & Computing (WCONF) Pub Date : 2023-07-14 DOI: 10.1109/WCONF58270.2023.10235147

M. A. Gunavathie, P. D. Sneha, K. Yuvarani, P. Swathyshree

{"title":"An Exploration of Real-Time Intrusion Detection and Prevention Systems for Next Generation Networks","authors":"M. A. Gunavathie, P. D. Sneha, K. Yuvarani, P. Swathyshree","doi":"10.1109/WCONF58270.2023.10235147","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235147","url":null,"abstract":"Network security is facing new difficulties as a result of the development of 5G and other networks as well as software-defined networking (SDN). As the volume and complexity of network traffic increase, so does the risk of cyber threats and attacks. Designing and implementing a real-time Intrusion Detection and Prevention System (IDPS) for 5G and beyond SDNs requires addressing several challenges. These challenges include the high data rate and volume of traffic, the distributed and dynamic nature of 5G and beyond networks, and the complexity of the SDN architecture. A global IDPS architecture should be created to address these issues, using methods based on machine learning to quickly identify and categorize intrusions. To allow actual time monitoring and avoidance, the IDPS should also work across all the SDN design layers and interact with the SDN router. The implementation of a real-time IDPS for 5G and beyond SDNs would enhance network security by enabling real-time detection and prevention of intrusions. This would reduce the risk of data breaches, network downtime, and other Cyber Security threats. Moreover, a real-time IDPS would allow network administrators to respond to intrusions quickly and effectively, minimizing the impact of cyber threats on network operations. The actual time detection and avoidance of intrusions system for 5G technology along with SDN is thoroughly reviewed in this paper.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132750424","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

Applications of Accelerating Genetic Algorithms in System Engineering 加速遗传算法在系统工程中的应用

2023 World Conference on Communication & Computing (WCONF) Pub Date : 2023-07-14 DOI: 10.1109/WCONF58270.2023.10235117

Shaochi Li, Naiqi Wu, Kaizhou Gao

{"title":"Applications of Accelerating Genetic Algorithms in System Engineering","authors":"Shaochi Li, Naiqi Wu, Kaizhou Gao","doi":"10.1109/WCONF58270.2023.10235117","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235117","url":null,"abstract":"Groundwater system engineering is a complex field that involves the management and optimization of water resources. The use of genetic algorithms has been proposed to improve the efficiency and accuracy of groundwater system engineering. Genetic algorithm is a computational tool simulating natural selection and evolution, which is used to find the best solution to complex problems. An accelerated genetic algorithm has been developed to accelerate the optimization process by reducing the required number of iterations. These algorithms use advanced technologies such as parallel processing, adaptive mutation rate, and elite selection strategies to quickly converge to the optimal solution. The application of accelerated genetic algorithm in groundwater system engineering has shown good results. They have been used to optimize oil well layout, pump scheduling, and pollutant remediation strategies. These optimization measures have significantly improved water resource management, including increased efficiency, reduced costs, and improved environmental effects. Overall, accelerated genetic algorithms are a powerful tool for improving groundwater system engineering. With the continuous development and improvement of these technologies, they will undoubtedly play an increasingly important role in managing our precious water resources. Based on FORTRAN90 computer language, this paper studies the application of accelerated genetic algorithm in engineering calculation of groundwater system..","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115647114","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

Detection of Smartphone Permissioned Security Breaches using Machine Learning Techniques 使用机器学习技术检测智能手机允许的安全漏洞

2023 World Conference on Communication & Computing (WCONF) Pub Date : 2023-07-14 DOI: 10.1109/WCONF58270.2023.10234970

Atul Kumar, Ishu Sharma

{"title":"Detection of Smartphone Permissioned Security Breaches using Machine Learning Techniques","authors":"Atul Kumar, Ishu Sharma","doi":"10.1109/WCONF58270.2023.10234970","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10234970","url":null,"abstract":"Attackers may target cell phones by taking advantage of the rights given to installed applications. Users frequently have to provide application permission when they download and install it on their smartphones. This experimental study concentrates on the identification of permissioned malware assaults in smartphone security breaches using machine learning approaches. In order to uncover security flaws in smartphones, the study compares the effectiveness of three widely used machine learning algorithms: Naive Bayes, K-nearest neighbor, and Decision Tree. Each method was trained and evaluated using the pre-processed data and then divided into training, and testing sets. The study evaluated trained and tested algorithm’s accuracy, precision, recall, and F1 score so that machine learning techniques can be deployed for detecting permissioned malware attack. The results prove that the technique Decision Tree Classifier is performing overall better in comparison with other chosen techniques for spotting security flaws in cellphones. Performance indicators for Naive Bayes were lower than those for the other two algorithms. This study offers insightful information about how well machine learning algorithms can execute early detection of permissioned malware attacks on smartphones, and it can be utilized as a model for creating secure smartphone defenses.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124219963","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

Drug Quality Classification Using Sentiment Analysis of Drug Reviews 基于药品评论情感分析的药品质量分类

2023 World Conference on Communication & Computing (WCONF) Pub Date : 2023-07-14 DOI: 10.1109/WCONF58270.2023.10235160

Devesh Parmar, Harsh Katariya, Arpit Dobariya, R. K. Gupta, S. Bharti

{"title":"Drug Quality Classification Using Sentiment Analysis of Drug Reviews","authors":"Devesh Parmar, Harsh Katariya, Arpit Dobariya, R. K. Gupta, S. Bharti","doi":"10.1109/WCONF58270.2023.10235160","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235160","url":null,"abstract":"Since the pandemic emerged, there has been a shortage in remote access to medical resources, a lack of medical experts and healthcare professionals, an absence of adequate instruments and medicines etc. As a result, many people have passed away. As there is absence of resources, people started off following medical recommendations without sufficient consultation, giving rise to their wellbeing to decline should have been. In recent years, machine learning has found several useful uses. The main objective for the study was to give a drug review prediction which would help to decrease the number of health care specialists and authority needed. In this investigation, we are developing a drug review system that analyses sick persons feedback to forecast patient’s comments using various vectorization algorithms, such as the Count Vectorizer, TF-IDF, Bag of Words, and handy analysis of characteristics that can aid in identifying the most effective course of treatment for a condition using several classification methods. The predicted results were assessed using the precision, accuracy, AUC, and F1 scores. The results demonstrate that the Random Forest Classifier surpasses every other model with an accuracy rate of 94%.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"57 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124337198","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

Unstructured Big Data Quality Measurements and Failed Data Re-Processing Approach 非结构化大数据质量测量和失败数据再处理方法

2023 World Conference on Communication & Computing (WCONF) Pub Date : 2023-07-14 DOI: 10.1109/WCONF58270.2023.10235088

Prasad Pande, Nikhil Rao

{"title":"Unstructured Big Data Quality Measurements and Failed Data Re-Processing Approach","authors":"Prasad Pande, Nikhil Rao","doi":"10.1109/WCONF58270.2023.10235088","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235088","url":null,"abstract":"This paper discusses role of data quality checks, in identifying message loss during large volume semi structured and unstructured data processing. We discuss data quality dimensions, applicable to semi structured and unstructured data in the form of email data. Email data confirms to RFC822 format and can have unstructured data like images, documents as attachments. Along with discussion of applicable data quality dimensions, we also discuss the formulae to evaluate data quality for each of these dimensions. The paper, focuses on big-data reprocessing, starting with need for data re-processing and identifying generic re-processing scenarios. This scenario identification step is important to ensure that the solution caters to all the re-processing requirements. It further discusses about types of data re-processing, core concepts on which re-processing solution is based and approach for handling different type of re-processing. The paper subsequently discusses principles of backlog processing for streaming data. The streaming data like email data, keeps flowing continuously at a very high rate. Any downtime in processing system, results in accumulation of data backlog. This accumulated data must be processed fully without creating a domino of backlogs. This document discusses statistical approach for forecasting time required to clear piled-up backlog of streaming data.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122152392","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

Similar Images Finder Using Machine Learning 使用机器学习的类似图像查找器

2023 World Conference on Communication & Computing (WCONF) Pub Date : 2023-07-14 DOI: 10.1109/WCONF58270.2023.10235161

Sanidhya Nagar, Subhayan Das, Sangeeta

{"title":"Similar Images Finder Using Machine Learning","authors":"Sanidhya Nagar, Subhayan Das, Sangeeta","doi":"10.1109/WCONF58270.2023.10235161","DOIUrl":"https://doi.org/10.1109/WCONF58270.2023.10235161","url":null,"abstract":"Finding similar images using machine learning has become an important technique for image retrieval and organization in a numerous applications. This method involves training deep learning models to recognize visual patterns in images and extract features that can be used to identify similarities and differences between images. These features can then be used to create high-dimensional vectors that represent each image, which can be compared to find similar images. Various similarity metrics and clustering algorithms can be used to group similar images together, enabling efficient searching of large image datasets. This paper provides an outline of the methodology for finding similar images using machine learning, including data collection, preprocessing, deep learning model training, feature extraction, similarity calculation, and clustering. The paper also discusses the practical applications of this technique, such as image retrieval, image organization, and image analysis in fields such as medical research, computer vision, and machine learning. The proposed system can be a valuable tool for content creators, online platforms, and law enforcement agencies to ensure the protection of intellectual property rights and prevent unauthorized use of copyrighted images.","PeriodicalId":202864,"journal":{"name":"2023 World Conference on Communication & Computing (WCONF)","volume":"60 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120854399","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

Agricultural Management System Based on GPS and GIS 基于GPS和GIS的农业管理系统

2023 World Conference on Communication & Computing (WCONF) Pub Date : 2023-07-14 DOI: 10.1109/WCONF58270.2023.10234990

Yuping Hu

引用次数: 0