Privacy and Security in Cloud-Based Computing: Challenges and Solutions | Chapter 1 | Research and Applications Towards Mathematics and Computer Science Vol. 2

 Cloud calculating is now individual of the most rapidly increasing sectors in the data processing industry. The term "cloud computing" refers to differing devices, forms, programs, and services that can be achieve via the WWW or internet-based networks. There are many risks that can jeopardise the privacy and protection of the internet environment. Thus, these issues, in addition to potential solutions, are argued in this paper. Consumer hesitance to use cloud calculating services is still generally driven by concerns pertaining to the protection of cloud computing, especially the security and privacy of dossier in the cloud. To be more precise, these concerns involve loss of user dossier, data leaks, and solitude exposure. Cloud computing specifies companies and administration organisations with a suitable active environment and miscellaneous other benefits. Thus, skilled are significant issues with dossier security and solitude. Third parties are in charge of directing and storing the consumer's information. Most cloud computing consumers want their data expected protected against unauthorised access or misuse. Both things and businesses the one use the cloud are impacted by the lack of dossier protection, that leads to a number of challenges and problems, containing data stealing. Concerns about privacy increase as "cloud computing" expands and changes fast. Privacy and security worries are a obstruction to the adoption of cloud computing. In line with this, cloud protection issues and potential solutions will be argued in this work. For researchers and safety experts. This item will provide researchers and protection experts accompanying important information on solitude concerns, as well as potential answers.

Author(s) Details:

Fatimah Khalil Aljwari,
Computer Science Department, Umm Al Qura University, Makkah, Saudi Arabia.

Please see the link here: https://stm.bookpi.org/RATMCS-V2/article/view/11104

Study on Cloud Based Integrated Bhulekh Model Transforming Revenue Administration and Digitally Empowering Society | Chapter 8 | Research and Developments in Engineering Research Vol. 4

 The aim of the government search out deliver numerous national-centric aids in a cost-effective and obvious manner. To do this, the government must influence cutting-edge electronics in novel ways and connect it with process reengineering models that include a range of colleagues in service transmittal. Additionally, the government can act claim validation by directly proving documentary proofs through conceived databases.The study highlights the remarkable action taken for one Government of Uttar Pradesh to transform Bhulekh 1.0 to Bhulekh 2.0, by engaging cloud-based integration of partners in revenue presidency, including the record office, revenue courts, banks, Aadhar, e-District, and Common Service Center (CSC). This metamorphosis has set a new standard of digital childbirth of services and enhanced the performance of Revenue Administration through MeghRaj Cloud. The cloud powered Bhulekh 2.0 is making important progress towards creating a digitally authorized society by providing duties from anywhere at any time in a conscious manner.

Author(s) Details:

Saurabh Gupta,
National Informatics Centre, Ministry of Electronics and I.T., Government of India, India.

Rajesh Kumar Gangal,
National Informatics Centre, Ministry of Electronics and I.T., Government of India, India.

Sameer Rajan,
National Informatics Centre, Ministry of Electronics and I.T., Government of India, India.

Please see the link here: https://stm.bookpi.org/RADER-V4/article/view/10745

Design and Deployment of Secured Cloud Assist IIoT - SCADA System for Real Time Parameter Monitoring and Control in Process Control Applications | Chapter 7 | Technological Innovation in Engineering Research Vol. 4

With the help of Industrial IoT (IIoT) and the Cloud Assist function, we established secure SCADA-based real-time process parameter monitoring and control in this work. Today, IIoT is utilised by thousands of distinct applications throughout the globe in hundreds of industrial facilities. The use of cloud storage is also provided to monitor and regulate process industry characteristics including level, flow, temperature, and pressure. Cloud is a term used to describe online computer information access. To collect, display, and analyse all real-time data of a process while it is running, we utilised the "ThingSpeak" IoT analytics platform. For greater flexibility, it may also be done with the LabVIEW platform. Using wireless sensors that communicate in full duplex mode, the system can wirelessly monitor and manage flow, temperature, pressure, and level. Secure cloud data access is made possible by Passkey. An alarm system is used to alert the end user if any faults take place. The process station features a wireless transmitter that periodically transmits data and a Wi-Fi module in the reception part that receives received data. Since they are all stored on the Cloud, external devices like PCs, smartphones, and tablets may wirelessly access and manage the data. Additionally, it may be connected to automation devices like SCADA and PLCs with bidirectional control to guarantee operational efficiency and safety while utilising the most recent automation standards.

Author(s) Details:

D. Deivasigamani,

Department of Electronics and Instrumentation Engineering, Hindusthan College of Engineering and Technology, Coimbatore-641032, Tamil Nadu, India.

R. Vinoth Kumar,

Department of Electronics and Instrumentation Engineering, Hindusthan College of Engineering and Technology, Coimbatore-641032, Tamil Nadu, India.

Please see the link here: https://stm.bookpi.org/TIER-V4/article/view/7312

Study on Cloud Image Processing and Analysis Based Flatfoot Classification Approach | Chapter 5 | Current Topics on Mathematics and Computer Science Vol. 5

This paper proposes a Cloud Image Processing and Analysis based Flatfoot Classification technique to aid doctors in detecting flat feet. Using image processing and analysis set up on separate virtual servers in the cloud, the suggested technique can reduce noise and shape images of the foot based on X-ray images. After image processing, the suggested division approach divides the individual X-ray image into four blocks, taking into account the fraction of each foot. By dividing the original image into four independent sub-partitions, different analysis techniques for key-point finding can be applied to each divided image. Each image can be processed using a cloud-based virtual machine. Using the proposed cloud-based algorithms for individual sub-partitions of the original image, the system can find four decision points for each block. Based on the integration of processing data from several methods, the system can detect flat feet automatically. The data and results of the identification might alternatively be submitted to a doctor for manual identification. The decision point can also be manually selected. To put it another way, based on the doctor's selection, the system can produce more accurate and objective findings. The simulation indicates that accuracy may be enhanced based on the dpi of the X-ray image. Furthermore, different strategies for determining decision points work differently.

Author (s) Details

Ming-Shen Jian
Department of Computer Science and Information Engineering, National Formosa University, Huwei, Yunlin, Taiwan, R.O.C.

Jun-Hong Shen
Department of Information Communication, Asia University, Wufeng, Taichung, Taiwan, R.O.C.

Yu-Chih Chen
Department of Computer Science and Information Engineering, National Formosa University, Huwei, Yunlin, Taiwan, R.O.C.

Chao-Chun Chang
Department of Computer Science and Information Engineering, National Formosa University, Huwei, Yunlin, Taiwan, R.O.C.

Yi-Chi Fang
Department of Computer Science and Information Engineering, National Formosa University, Huwei, Yunlin, Taiwan, R.O.C.

Ci-Cheng Chen
Department of Computer Science and Information Engineering, National Formosa University, Huwei, Yunlin, Taiwan, R.O.C.

Wei-Han Chen
Department of Computer Science and Information Engineering, National Formosa University, Huwei, Yunlin, Taiwan, R.O.C.

View Book :- https://stm.bookpi.org/CTMCS-V5/article/view/2432

Recent Approach on a Software (MP-GEO) Process Framework for Guiding the Specification of Geospatial Databases in the Cloud | Chapter 1 | Recent Developments in Engineering Research Vol. 7

 The present study aims to define a recent approach to the MP-GEO software Process Architecture for geospatial database specification guidance in the cloud. There is a rising need for geospatial databases to support a range of applications and user needs. The general requirements for building such databases are well known, but due to the unique requirements of operating environments, technical tools and approaches continue their growth. The introduction of domain-specific databases also poses significant challenges in certain cases. There are many important issues emerging from the variety of geospatial data sources in interdisciplinary research environments in which groups can function in a similar geographical area. In the case of the MP-GEO project, key problems, namely authorship and copyright, require the involvement of software specialists with a fresh look at the specification structure and the management of its geospatial details. Natural and social processes related to agriculture, ecology and natural resources are investigated in the MP-GEO categories. In order to exchange and reuse information in various projects, the key problem is addressing data incompatibilities. The MP-Geo project arises from the long-standing and specific needs of scholars and students working in the fields described above. This paper therefore proposes enhancements in the specification of the MP-Geo software process to migrate a geospatial database to the cloud. The structure for software continues to emphasise good practises and standards of software engineering.

Author(s) Details

Yolanda M. Fernández-Ordóñez
Geomatics Laboratory, College of Postgraduates in Agricultural Sciences, Campus Montecillo, Texcoco, Mexico.

Jesús Soria-Ruiz
Geomatics & Agro-Climatology Lab., National Institute of Research for Forestry Agricultural and Livestock (INIFAP), Toluca, Mexico.



View Book :- https://bp.bookpi.org/index.php/bpi/catalog/book/299

Recent Approach on a Software (MP-GEO) Process Framework for Guiding the Specification of Geospatial Databases in the Cloud | Chapter 1 | Recent Developments in Engineering Research Vol. 7

 

The present study aims to define a recent approach to the MP-GEO software Process Architecture for geospatial database specification guidance in the cloud. There is a rising need for geospatial databases to support a range of applications and user needs. The general requirements for building such databases are well known, but due to the unique requirements of operating environments, technical tools and approaches continue their growth. The introduction of domain-specific databases also poses significant challenges in certain cases. There are many important issues emerging from the variety of geospatial data sources in interdisciplinary research environments in which groups can function in a similar geographical area. In the case of the MP-GEO project, key problems, namely authorship and copyright, require the involvement of software experts with a A new look at the structure of the requirements and the management of its geospatial details. Natural and social processes related to agriculture, ecology and natural resources are investigated in the MP-GEO categories. In order to exchange and reuse information in various projects, the key problem is addressing data incompatibilities. The MP-Geo project arises from the long-standing and specific needs of scholars and students working in the fields described above. This paper therefore proposes enhancements in the specification of the MP-Geo software process to migrate a geospatial database to the cloud. The structure for software continues to emphasise good practises and standards of software engineering.


Author(s) Details

Yolanda M. Fernández-Ordóñez
Geomatics Laboratory, College of Postgraduates in Agricultural Sciences, Campus Montecillo, Texcoco, Mexico.

Jesús Soria-Ruiz
Geomatics & Agro-Climatology Lab., National Institute of Research for Forestry Agricultural and Livestock (INIFAP), Toluca, Mexico.

Luis Alberto Ovando-Brito
Tecnológico de Estudios Superiores de Coacalco, México.


View Book :- https://bp.bookpi.org/index.php/bpi/catalog/book/299