International Journal of Computers and Applications最新文献_第9页

Why do some IT freelancers in certain countries prefer digital payment with cryptocurrency despite it being illegal? 为什么某些国家的一些IT自由职业者更喜欢使用加密货币进行数字支付，尽管这是非法的?

International Journal of Computers and Applications Pub Date : 2023-04-03 DOI: 10.1080/1206212X.2023.2193778

A. Pathan

引用次数: 0

An efficient integrity based multi-user blockchain framework for heterogeneous supply chain management applications 一种高效的基于完整性的多用户区块链框架，用于异构供应链管理应用

International Journal of Computers and Applications Pub Date : 2023-04-03 DOI: 10.1080/1206212X.2023.2199966

Mani Deep Karumanchi, J. I. Sheeba, S. Devaneyan

{"title":"An efficient integrity based multi-user blockchain framework for heterogeneous supply chain management applications","authors":"Mani Deep Karumanchi, J. I. Sheeba, S. Devaneyan","doi":"10.1080/1206212X.2023.2199966","DOIUrl":"https://doi.org/10.1080/1206212X.2023.2199966","url":null,"abstract":"Most of the traditional cloud-based applications are insecure and difficult to compute the data integrity with variable hash size on heterogeneous supply chain datasets. Also, cloud storage systems are independent of integrity computational and data security due to structured data and computational memory. As the size of the cloud data files is increasing in the public and private cloud servers, it is difficult to provide strong data security due to file format and high dimensionality. The computational time and storage space of the conventional attribute-based encryption and decryption models are high during the data integrity verification in the traditional blockchain frameworks. This paper implements a hybrid variable size data integrity algorithm on the heterogeneous cloud supply chain data files for the strong data encryption and decryption process. This work implements an optimized blockchain framework using the advanced heterogeneous integrity computation approach and integrity policy-based attribute encryption and decryption approach for better cloud data security. Experimental results proved that the proposed integrity-based encryption model has better efficiency than the traditional integrity-based encryption frameworks on cloud heterogeneous data types.","PeriodicalId":39673,"journal":{"name":"International Journal of Computers and Applications","volume":"19 1","pages":"337 - 351"},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82732058","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

An efficient deep learning-based approach for human activity recognition using smartphone inertial sensors 一种基于深度学习的智能手机惯性传感器人体活动识别方法

International Journal of Computers and Applications Pub Date : 2023-04-03 DOI: 10.1080/1206212X.2023.2198785

R. Djemili, Merouane Zamouche

引用次数: 0

Image Encryption Algorithm Based on Arnold Transform and Chaos Theory in the Multi-wavelet Domain 基于多小波域Arnold变换和混沌理论的图像加密算法

International Journal of Computers and Applications Pub Date : 2023-04-03 DOI: 10.1080/1206212X.2023.2196902

Ali Akram Abdul-Kareem, W. A. M. Al-Jawher

引用次数: 2

Generative adversarial networks for network traffic feature generation 网络流量特征生成的生成对抗网络

International Journal of Computers and Applications Pub Date : 2023-03-28 DOI: 10.1080/1206212X.2023.2191072

T. J. Anande, Sami Al-Saadi, M. Leeson

{"title":"Generative adversarial networks for network traffic feature generation","authors":"T. J. Anande, Sami Al-Saadi, M. Leeson","doi":"10.1080/1206212X.2023.2191072","DOIUrl":"https://doi.org/10.1080/1206212X.2023.2191072","url":null,"abstract":"Generative Adversarial Networks (GANs) have remained an active area of research, particularly due to their increased and advanced evolving application capabilities. In several domains such as images, facial synthesis, character generation, language processing and multimedia, they have been implemented for advanced tasks. However, there has been more limited progress in network traffic data generation due to the complexities associated with data formats and distributions. This research implements two GAN architectures that include data transforms to simultaneously train and generate categorical and continuous network traffic features. These architectures demonstrate superior performance to the original ‘Vanilla’ GAN approach, which is included as a baseline comparator. Close matches are obtained between logarithms of the means and standard deviations of the fake data and the corresponding quantities from the real data. Moreover, similar principal components are exhibited by the fake and real data streams. Furthermore, some 85% of the features from the fake data could replace those in the real data without detection.","PeriodicalId":39673,"journal":{"name":"International Journal of Computers and Applications","volume":"42 1","pages":"297 - 305"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84338647","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

YOLOv5-based weapon detection systems with data augmentation 基于数据增强的yolov5武器探测系统

International Journal of Computers and Applications Pub Date : 2023-03-05 DOI: 10.1080/1206212X.2023.2182966

Lucy Sumi, Shouvik Dey

引用次数: 1

Block SMRT and knapsack optimization-based sequency selector for robust, imperceptible, and payload-efficient color image watermarking for binary watermark 基于块SMRT和背包优化的序列选择器用于二值水印的鲁棒、不易察觉和有效负载高效彩色图像水印

International Journal of Computers and Applications Pub Date : 2023-02-10 DOI: 10.1080/1206212X.2023.2175435

Febina Ikbal, R. Gopikakumari

{"title":"Block SMRT and knapsack optimization-based sequency selector for robust, imperceptible, and payload-efficient color image watermarking for binary watermark","authors":"Febina Ikbal, R. Gopikakumari","doi":"10.1080/1206212X.2023.2175435","DOIUrl":"https://doi.org/10.1080/1206212X.2023.2175435","url":null,"abstract":"Watermarking is a generic strategy for overcoming numerous issues associated with multimedia security. Performance of a watermarking system in terms of imperceptibility, robustness and payload is highly dependent on the positions used for embedding. The choice of sequency packets plays an important role in the performance when Sequency-based Mapped Real Transform (SMRT) is used for embedding. A novel sequency selector for robust, imperceptible and payload-efficient color image watermarking of binary watermark is proposed using SMRT and two-level optimization. SMRT of block partitioned Cb channel of cover image is input to sequency selector where results of first-level optimization, based on imperceptibility and robustness, along with payload is optimized using knapsack optimization in the second level. The binary watermark is LSB embedded in SMRT coefficients present in each packet of the optimal combination of sequencies chosen by the sequency selector. Simulation results show better performance compared to existing optimized and non-optimized embedding techniques.","PeriodicalId":39673,"journal":{"name":"International Journal of Computers and Applications","volume":"49 1","pages":"269 - 283"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87588673","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

Retracted Article: Based on deep learning in traffic remote sensing image processing to recognize target vehicle 基于深度学习的交通遥感图像处理识别目标车辆

International Journal of Computers and Applications Pub Date : 2023-02-01 DOI: 10.1080/1206212X.2020.1735764

Dan Wang, Kaidi Zhao, Yi Wang

{"title":"Retracted Article: Based on deep learning in traffic remote sensing image processing to recognize target vehicle","authors":"Dan Wang, Kaidi Zhao, Yi Wang","doi":"10.1080/1206212X.2020.1735764","DOIUrl":"https://doi.org/10.1080/1206212X.2020.1735764","url":null,"abstract":"We, the Editor and Publisher of the International Journal of Computers and Applications, have retracted the following article which was part of the Special Issue on Advanced Security Techniques for Cloud Computing and Big Data - New Directions: Dan Wang, Kai Zhao & Yi Wang (2020) Based on deep learning in traffic remote sensing image processing to recognize target vehicle, International Journal of Computers and Applications, DOI: 10.1080/1206212X.2020.1735764 Since publication, it came to our attention that the articles published in this Special Issue were not reviewed fully in line with the journal's peer review standards and policy. We did not find any evidence of misconduct by the authors. However, in order to ensure full assessment has been conducted, we sought expert advice on the validity and quality of the published articles from independent peer reviewers. Following this post publication peer review, the Editor has determined that the articles do not meet the required scholarly standards to remain published in the journal, and therefore has taken the decision to retract. The concerns raised have been shared with the authors and they have been given the opportunity to respond. The authors have been informed about the retraction of the article. We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’.","PeriodicalId":39673,"journal":{"name":"International Journal of Computers and Applications","volume":"113 1","pages":"180 - 186"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73284098","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: 3

Retracted Article: Collaborative correlation space big data clustering algorithm for abnormal flow monitoring 异常流量监测的协同关联空间大数据聚类算法

International Journal of Computers and Applications Pub Date : 2023-02-01 DOI: 10.1080/1206212X.2020.1727659

Ting Fu, Hong Chen, Fei Wu, Yuxin Su, L. Zhuang

{"title":"Retracted Article: Collaborative correlation space big data clustering algorithm for abnormal flow monitoring","authors":"Ting Fu, Hong Chen, Fei Wu, Yuxin Su, L. Zhuang","doi":"10.1080/1206212X.2020.1727659","DOIUrl":"https://doi.org/10.1080/1206212X.2020.1727659","url":null,"abstract":"The big data clustering process is a random nonlinear process with high uncertainty. Because traditional methods require prior knowledge to learn, they cannot adapt well to the real-time changes of big data, and cannot effectively achieve big data clustering. A good clustering structure can reduce redundancy, optimize network resource configuration, and reduce node overhead and balance the network. The collaborative correlation space is a powerful tool that will simulate the model to form a spatial analysis and process simulation. Therefore, in order to improve the fast processing and recognition ability of big data, a collaborative correlation spatial big data oriented to clustering network is proposed. Simulation experiments show that using this algorithm for big data clustering can effectively improve the data clustering efficiency, reduce energy consumption, has better anti-interference and adaptability, and has higher clustering accuracy. In the flow anomalydetectionexperiment,resultsshowthatthemethodproposedinthispaperhashighertrafficanomaly identificationaccuracythank-meansanddecisiontreealgorithm,andtherecallrateandROCareaarethelargest.","PeriodicalId":39673,"journal":{"name":"International Journal of Computers and Applications","volume":"50 1","pages":"136 - 143"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86345459","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

Retracted Article: A wireless network remote monitoring method driven by artificial intelligence 一种由人工智能驱动的无线网络远程监控方法

International Journal of Computers and Applications Pub Date : 2023-02-01 DOI: 10.1080/1206212X.2019.1710664

Lei Zhao, H. Yu

{"title":"Retracted Article: A wireless network remote monitoring method driven by artificial intelligence","authors":"Lei Zhao, H. Yu","doi":"10.1080/1206212X.2019.1710664","DOIUrl":"https://doi.org/10.1080/1206212X.2019.1710664","url":null,"abstract":"We, the Editor and Publisher of the International Journal of Computers and Applications, have retracted the following article which was part of the Special Issue on Advanced Security Techniques for Cloud Computing and Big Data - New Directions: Lei Zhao & Huang Yu (2020) A wireless network remote monitoring method driven by artificial intelligence, International Journal of Computers and Applications, DOI: 10.1080/1206212X.2019.1710664 Since publication, it came to our attention that the articles published in this Special Issue were not reviewed fully in line with the journal's peer review standards and policy. We did not find any evidence of misconduct by the authors. However, in order to ensure full assessment has been conducted, we sought expert advice on the validity and quality of the published articles from independent peer reviewers. Following this post publication peer review, the Editor has determined that the articles do not meet the required scholarly standards to remain published in the journal, and therefore has taken the decision to retract. The concerns raised have been shared with the authors and they have been given the opportunity to respond. The authors have been informed about the retraction of the article.   We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’.","PeriodicalId":39673,"journal":{"name":"International Journal of Computers and Applications","volume":"30 1","pages":"115 - 123"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80738763","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