The 5th International Conference on Future Networks & Distributed Systems最新文献_第2页

The Impact of Quantum Computing on Security in Emerging Technologies 量子计算对新兴技术安全的影响

The 5th International Conference on Future Networks & Distributed Systems Pub Date : 2021-12-15 DOI: 10.1145/3508072.3508099

A. Abuarqoub, Simak Abuarqoub, A. Alzu’bi, A. Muthanna

{"title":"The Impact of Quantum Computing on Security in Emerging Technologies","authors":"A. Abuarqoub, Simak Abuarqoub, A. Alzu’bi, A. Muthanna","doi":"10.1145/3508072.3508099","DOIUrl":"https://doi.org/10.1145/3508072.3508099","url":null,"abstract":"Quantum computing is rapidly shifting from high-tech lab to mainstream commercial use in the next few years, representing the next breakthrough in modern ICT. It is motivated by quantum computer's ability to perform computational tasks with efficiencies that are not possible with classical computers. Quantum computing technology has a lasting potential impact on society and broad implications on many aspects of our lives. Although quantum computing has several advantages, it threatens the security of current cryptographic techniques. It is expected that quantum computers will be able to solve the key distribution problem and break every single cryptography and authentication algorithm based on asymmetric cryptography. New emerging technologies such as the Internet of Things, blockchain, autonomous vehicles, 5G, artificial intelligence and robotics all rely on cryptography for their secure operation. Therefore, the realisation of quantum computing will pose significant challenges to the current progress and future development of these technologies. In this paper, the quantum technology preliminaries are discussed. The possible impact of quantum technologies on emerging technologies is investigated. Finally, some of the currently available quantum-safe cryptosystems devoted to protecting computer systems in the quantum era are discussed.","PeriodicalId":315315,"journal":{"name":"The 5th International Conference on Future Networks & Distributed Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128657433","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

ICT and Economic Growth: Evidence from Cross-Country Growth Modeling 信息通信技术与经济增长:来自跨国增长模型的证据

The 5th International Conference on Future Networks & Distributed Systems Pub Date : 2021-12-15 DOI: 10.1145/3508072.3508204

Akram Ishnazarov, N. Kasimova, Shakhnoza Tosheva, A. Isaeva

引用次数: 4

Development of high-speed fiber-optic communication lines for transferring large amounts of information 发展高速光纤通信线路以传输大量信息

The 5th International Conference on Future Networks & Distributed Systems Pub Date : 2021-12-15 DOI: 10.1145/3508072.3508190

D. Shurupov, G. A. Pchelkin, V. Davydov, V. Rud

引用次数: 0

Features of Digitalization and Ensuring Transparency of Accounting and Audit in Uzbekistan 数字化特点与确保乌兹别克斯坦会计和审计透明度

The 5th International Conference on Future Networks & Distributed Systems Pub Date : 2021-12-15 DOI: 10.1145/3508072.3508201

Minavar Tulakhodjaeva, Mutabar Khodjaeva

引用次数: 2

Web Scraper Application for Extracting Scientific Journals Data Web Scraper应用程序提取科学期刊数据

The 5th International Conference on Future Networks & Distributed Systems Pub Date : 2021-12-15 DOI: 10.1145/3508072.3508106

W. Alkaberi, Reem Hamed Aljuhani, H. Alamoudi

引用次数: 0

Deep learning Arabic printed document knowledge extraction 深度学习阿拉伯语印刷文档知识提取

The 5th International Conference on Future Networks & Distributed Systems Pub Date : 2021-12-15 DOI: 10.1145/3508072.3508103

Taghreed Alghamdi, S. Snoussi, L. Hsairi

引用次数: 0

The Impact of Tourism on Employment and Economic Growth in Uzbekistan: An ARDL bounds testing approach 旅游业对乌兹别克斯坦就业和经济增长的影响:一个ARDL边界检验方法

The 5th International Conference on Future Networks & Distributed Systems Pub Date : 2021-12-15 DOI: 10.1145/3508072.3508158

Gulnora Qalandarovna Abdurakhmanova, J. Jeong, Ravshan Rakhimjon ugli Oqmullayev, M. Karimov

{"title":"The Impact of Tourism on Employment and Economic Growth in Uzbekistan: An ARDL bounds testing approach","authors":"Gulnora Qalandarovna Abdurakhmanova, J. Jeong, Ravshan Rakhimjon ugli Oqmullayev, M. Karimov","doi":"10.1145/3508072.3508158","DOIUrl":"https://doi.org/10.1145/3508072.3508158","url":null,"abstract":"This research empirically investigates influence of tourism on employment and economic growth in case of Uzbekistan. Using time periods empirical technics, the study explores long-run and short-run connection between global tourism arrivals, employment including real GDP in Uzbekistan by using Autoregressive Distributed Lag model for the interval from 1991 to 2020. The effects attained from the studies show that there is a close connection among tourism, employment and economic rise of Uzbekistan. Furthermore, the studies show that there is one-way Granger causality flow between tourism and economic growth of Uzbekistan. The main benefit of the study is that, despite of providing robust results in small sample areas, it is no need to a priori information about the integration belongings of the variables. Moreover, growing number of international tourists will thus give a positive influence on Uzbekistan's economy and employment. Our investigations suggest that Uzbekistan can strengthen its economic prosperity by strategically supporting its tourism sector in the country.","PeriodicalId":315315,"journal":{"name":"The 5th International Conference on Future Networks & Distributed Systems","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132843375","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

A Comparison of Deep Learning Methods for Vision-based Fire Detection in Surveillance System 基于视觉的火灾检测中深度学习方法的比较

The 5th International Conference on Future Networks & Distributed Systems Pub Date : 2021-12-15 DOI: 10.1145/3508072.3508074

Wahyono, A. Harjoko, Andi Dharmawan, Gamma Kosala, Putra Yudha Pranata

{"title":"A Comparison of Deep Learning Methods for Vision-based Fire Detection in Surveillance System","authors":"Wahyono, A. Harjoko, Andi Dharmawan, Gamma Kosala, Putra Yudha Pranata","doi":"10.1145/3508072.3508074","DOIUrl":"https://doi.org/10.1145/3508072.3508074","url":null,"abstract":"Fire detection by analyzing video and images from surveillance cameras is increasingly being used as an early warning system. Fire detection using video surveillance as input is much more efficient than fire sensors because of the broader coverage area and is relatively cheaper. Several previous studies used handcrafted features as a differentiator between fire and other objects. Features like color, texture, and motion can be used as a reference for detecting fire. Object detection techniques using video as input are overgrowing. Some researchers use deep learning architecture to detect objects from video input. The deep learning architecture is capable of extracting features directly from video input by leveraging neural network layers. This study tries to compare several deep learning methods for fire detection from video input. The methods compared are Faster RCNN, Yolov4, and Yolov5. After being evaluated, the method with the best True Positive Rate is Yolov4 with a value of 84.62%, while the method with the best True Negative Rate value is Yolov5 with a value of 97.06%. Yolov5 is also the method with the best computational time that is 23.26 FPS. Faster RCNN got an excellent positive rate, almost close to the positive rate of Yolov4 and Yolov5. However, the negative rate of Faster RCNN is quite alarming. The computation time required is also longer than Yolov4 and Yolov5.","PeriodicalId":315315,"journal":{"name":"The 5th International Conference on Future Networks & Distributed Systems","volume":"371 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126713532","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

Calculating Share of Factors of Intensive Economic Growth in Uzbekistan 乌兹别克斯坦集约经济增长要素占比计算

The 5th International Conference on Future Networks & Distributed Systems Pub Date : 2021-12-15 DOI: 10.1145/3508072.3508144

Shohjakhon Khamdamov

引用次数: 2

Two routers network architecture and scheduling algorithms under packet category classification constraint 两种路由器在分组分类约束下的网络结构和调度算法

The 5th International Conference on Future Networks & Distributed Systems Pub Date : 2021-12-15 DOI: 10.1145/3508072.3508092

Akram Y. Sarhan, M. Jemmali, A. B. Hmida

{"title":"Two routers network architecture and scheduling algorithms under packet category classification constraint","authors":"Akram Y. Sarhan, M. Jemmali, A. B. Hmida","doi":"10.1145/3508072.3508092","DOIUrl":"https://doi.org/10.1145/3508072.3508092","url":null,"abstract":"The sending and exchanging of data have become essential in the current revolution of industry 4.0 and digital transformation and all aspects of life. Ensuring the security of transmitted data continues to be a critical issue due to the fast advancement in technology. The studied problem is proven to be NP-hard in the strong sense. The contribution of this paper is twofold. First, we propose a network architecture that enables multilevel data sharing through two routers based on a data category classification constraint. Second, we propose a set of heuristic algorithms for an NP-Hard problem. The constraint of the studied problem is described as follows. Two files belonging to the same category of confidential level should not be transmitted simultaneously through the routers. The proposed architecture involves a scheduler component responsible for finding a schedule that minimizes the maximum estimated transmission time respecting the data category classification constraint. An experimental result is carried out to show the performance of the proposed algorithms. Several indicators are used to measure the performance of algorithms. The best algorithm is the Modified decreasing estimated-transmission time algorithm in 91.6% of cases. The experimental results confirm the practicality of the proposed scheme in terms of two-machines scheduling problems.","PeriodicalId":315315,"journal":{"name":"The 5th International Conference on Future Networks & Distributed Systems","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126583694","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: 7