电脑和通信(英文)最新文献_第10页

Implementation of a Hybrid Triple-Data Encryption Standard and Blowfish Algorithms for Enhancing Image Security in Cloud Environment 云环境下增强图像安全的混合三数据加密标准和河豚算法的实现

电脑和通信(英文) Pub Date : 2023-01-01 DOI: 10.4236/jcc.2023.1110009

Mohan Nagamunthala, Ramakrishnan Manjula

{"title":"Implementation of a Hybrid Triple-Data Encryption Standard and Blowfish Algorithms for Enhancing Image Security in Cloud Environment","authors":"Mohan Nagamunthala, Ramakrishnan Manjula","doi":"10.4236/jcc.2023.1110009","DOIUrl":"https://doi.org/10.4236/jcc.2023.1110009","url":null,"abstract":"In recent years, technological advancements have provided the world with cloud computing which can transfer, store, and process huge data chunks in the form of video, audio, images, and text efficiently. In spite of the universal hype on the subject across the information technology world, protecting sensitive data stored in the cloud server is one of the crucial problems. The large volume and sophistication of cyberattacks conclude to the fact that private pictures need exceptional care than other forms of data on the cloud. Since the user who has stored their private pictures in the cloud has no control over the privacy protection of data, the cloud vendors have to assure a greater level of security in terms of authentication and prevention from cyberattacks. Image encryption algorithms secure visual data by transmuting pictures into an unintelligible form to preserve the confidentiality of pictures over reliable unrestricted social media. This work aims to develop a method for enhancing the security of user photographs on a cloud platform by means of cryptography algorithms. The proposed hybrid technique presents the idea of protecting images in two straightforward steps. First, we generate a chipper text (i.e., secret key) using Triple Data Encryption Standard (TDES) by giving a plaintext and a key as input. Then, the cipher text obtained from TDES is given to the Blowfish algorithm for encrypting the user images. The encrypted image is then uploaded to the database of the cloud server and can be retrieved whenever the user requests it. Both image encryption and decryption processes are analyzed and evaluated based on performance metrics such as cloud storage time, encryption time, decryption time, and encryption throughput. A comparative study with conventional image encryption methods will demonstrate the effectiveness and robustness of our proposed method.","PeriodicalId":67799,"journal":{"name":"电脑和通信(英文)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135319074","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

Improving Resilience Models of Health Systems before COVID-19 Pandemic in Côte d’Ivoire 在COVID-19大流行之前改进科特迪瓦卫生系统的复原力模型

电脑和通信(英文) Pub Date : 2023-01-01 DOI: 10.4236/jcc.2023.112001

G. B. N’guessan, Ida Brou Assie, Jean S. Inkpé Haudie

引用次数: 0

Creating Bengali Freebase Using Wikidata 使用维基数据创建孟加拉语Freebase

电脑和通信(英文) Pub Date : 2023-01-01 DOI: 10.4236/jcc.2023.115011

Rukaiya Habib, M. Ferdous, M. Anwar

{"title":"Creating Bengali Freebase Using Wikidata","authors":"Rukaiya Habib, M. Ferdous, M. Anwar","doi":"10.4236/jcc.2023.115011","DOIUrl":"https://doi.org/10.4236/jcc.2023.115011","url":null,"abstract":"Freebase is a large collaborative knowledge base and database of general, structured information for public use. Its structured data had been harvested from many sources, including individual, user-submitted wiki contributions. Its aim is to create a global resource so that people (and machines) can access common information more effectively which is mostly available in English. In this research work, we have tried to build the technique of creating the Free-base for Bengali language. Today the number of Bengali articles on the internet is growing day by day. So it has become a necessary to have a structured data store in Bengali. It consists of different types of concepts (topics) and relationships between those topics. These include different types of areas like popular culture (e.g. films, music, books, sports, television), location information (restaurants, geolocations, businesses), scholarly information (linguistics, biology, astronomy), birth place of (poets, politicians, actor, actress) and general knowledge (Wikipedia). It will be much more helpful for relation extraction or any kind of Natural Language Processing (NLP) works on Ben-gali language. In this work, we identified the technique of creating the Bengali Freebase and made a collection of Bengali data. We applied SPARQL query language to extract information from natural language (Bengali) documents such as Wikidata which is typically in RDF (Resource Description Format) triple format.","PeriodicalId":67799,"journal":{"name":"电脑和通信(英文)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70936853","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

Design of Indoor Security Robot based on Robot Operating System 基于机器人操作系统的室内安防机器人设计

电脑和通信(英文) Pub Date : 2023-01-01 DOI: 10.4236/jcc.2023.115008

Faxu He, Liye Zhang

引用次数: 0

End-to-End Auto-Encoder System for Deep Residual Shrinkage Network for AWGN Channels AWGN信道深度残余收缩网络端到端自动编码器系统

电脑和通信(英文) Pub Date : 2023-01-01 DOI: 10.4236/jcc.2023.115012

Wenhao Zhao, Shengbo Hu

引用次数: 1

Neural Network-Based Performance Index Model for Enterprise Goals Simulation and Forecasting 基于神经网络的企业目标仿真与预测绩效指标模型

电脑和通信(英文) Pub Date : 2023-01-01 DOI: 10.4236/jcc.2023.118001

J. Essien, Martin Ogharandukun