South Afr. Comput. J.最新文献

Taylor Sun Flower Optimization-Based Compressive Sensing for Image Compression and Recovery 基于Taylor Sun Flower优化的图像压缩和恢复压缩感知

South Afr. Comput. J. Pub Date : 2023-05-17 DOI: 10.1093/comjnl/bxab202

R. Sekar, G. Ravi

引用次数: 0

Special Issue on Failed Approaches and Insightful Losses in Cryptology - Foreword 关于密码学中失败的方法和深刻的损失的特刊-前言

South Afr. Comput. J. Pub Date : 2023-05-05 DOI: 10.1093/comjnl/bxac191

T. Ashur, C. Mitchell

引用次数: 0

Role of Machine Learning on Key Extraction for Data Privacy Preservation of Health Care Sectors in IoT Environment 机器学习在物联网环境下医疗保健部门数据隐私保护密钥提取中的作用

South Afr. Comput. J. Pub Date : 2023-03-14 DOI: 10.1093/comjnl/bxad016

P. N. Kathavate

{"title":"Role of Machine Learning on Key Extraction for Data Privacy Preservation of Health Care Sectors in IoT Environment","authors":"P. N. Kathavate","doi":"10.1093/comjnl/bxad016","DOIUrl":"https://doi.org/10.1093/comjnl/bxad016","url":null,"abstract":"\u0000 Privacy and security in the medical field are major aspects to consider in the current era. This is due to the huge necessity for data among providers, payers and patients, respectively. Recently, more researchers are making their contributions in this field under different aspects. But, there need more enhancements concerning security. In this circumstance, this paper intends to propose a new IoT-dependent health care privacy preservation model with the impact of the machine learning algorithm. Here, the information or data from IoT devices is subjected to the proposed sanitization process via generating the optimal key. In this work, the utility of the machine learning model is the greatest gateway to generating optimal keys as it is already trained with the neural network. Moreover, identifying the optimal key is the greatest crisis, which is done by a new Improved Dragonfly Algorithm algorithm. Thereby, the sanitization process works, and finally, the sanitized data are uploaded to IoT. The data restoration is the inverse process of sanitization, which gives the original data. Finally, the performance of the proposed work is validated over state-of-the-art models in terms of sanitization and restoration analysis.","PeriodicalId":21872,"journal":{"name":"South Afr. Comput. J.","volume":"45 1","pages":"1549-1562"},"PeriodicalIF":0.0,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82864408","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

Incorrectly Generated RSA Keys: How I Learned To Stop Worrying And Recover Lost Plaintexts 错误生成的RSA密钥:我如何学会停止担心和恢复丢失的明文

South Afr. Comput. J. Pub Date : 2023-01-22 DOI: 10.1093/comjnl/bxac199

D. Shumow

引用次数: 1

A Self-Stabilizing Distributed Algorithm for the Generalized Dominating Set Problem With Safe Convergence 安全收敛广义控制集问题的一种自稳定分布算法

South Afr. Comput. J. Pub Date : 2023-01-01 DOI: 10.1093/comjnl/bxac021

Hisaki Kobayashi, Y. Sudo, H. Kakugawa, T. Masuzawa

引用次数: 0

Improvement of MADRL Equilibrium Based on Pareto Optimization 基于Pareto优化的MADRL均衡改进

South Afr. Comput. J. Pub Date : 2023-01-01 DOI: 10.1093/comjnl/bxac027

Zhiruo Zhao, Lei Cao, Xi-liang Chen, Jun Lai, Legui Zhang

引用次数: 0

An Improved Hill Climbing Algorithm for Graph Partitioning 图划分的一种改进爬坡算法

South Afr. Comput. J. Pub Date : 2023-01-01 DOI: 10.1093/comjnl/bxac039

He Li, Yanna Liu, Shu-Huei Yang, Yishuai Lin, Yezhou Yang, Jaesoo Yoo

引用次数: 1

F2SO: An Energy Efficient Cluster Based Routing Protocol Using Fuzzy Firebug Swarm Optimization Algorithm in WSN 基于模糊Firebug群优化算法的无线传感器网络节能聚类路由协议

South Afr. Comput. J. Pub Date : 2023-01-01 DOI: 10.1093/comjnl/bxac002

K. Suresh, S. Mole, A. Joseph Selva Kumar

引用次数: 8

Indistinguishable Leakage-Resilient Circuit Compiler 不可区分的防泄漏电路编译器

South Afr. Comput. J. Pub Date : 2023-01-01 DOI: 10.1093/comjnl/bxac036

Shiyou Xu, Jian Wang, Liangliang Wang

引用次数: 0

Decentralized Data Flows for the Functional Scalability of Service-Oriented IoT Systems 面向服务的物联网系统功能可扩展性的分散数据流

South Afr. Comput. J. Pub Date : 2023-01-01 DOI: 10.1093/comjnl/bxac023

Damian Arellanes, K. Lau, R. Sakellariou

{"title":"Decentralized Data Flows for the Functional Scalability of Service-Oriented IoT Systems","authors":"Damian Arellanes, K. Lau, R. Sakellariou","doi":"10.1093/comjnl/bxac023","DOIUrl":"https://doi.org/10.1093/comjnl/bxac023","url":null,"abstract":"Horizontal and vertical scalability have been widely studied in the context of computational resources. However, with the exponential growth in the number of connected objects, functional scalability (in terms of the size of software systems) is rapidly becoming a central challenge for building eﬃcient service-oriented IoT systems that generate huge volumes of data continuously. As systems scale up, a centralised approach for moving data between services becomes infeasible because it leads to a single performance bottleneck. A distributed approach avoids such a bottleneck but it incurs additional network traﬃc as data streams pass through multiple mediators. Decentralised data exchange is the only solution for realising totally eﬃcient IoT systems, since it avoids a single performance bottleneck and dramatically minimises network traﬃc. In this paper, we present a functionally scalable approach that separates data and control for the realisation of decentralised data ﬂows in service-oriented IoT systems. Our approach is evaluated empirically, and the results show that it scales well with the size of IoT systems by substantially reducing both the number of data ﬂows and network traﬃc in comparison with distributed data ﬂows.","PeriodicalId":21872,"journal":{"name":"South Afr. Comput. J.","volume":"8 1","pages":"1477-1506"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81298707","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