Showing posts with label computing. Show all posts
Showing posts with label computing. Show all posts

Monday, 17 July 2023

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

Wednesday, 13 July 2022

Algorithmic Abstraction and Mathematical Knowledge on Rates of Dropout from Computing Degree Courses | Chapter 2 | Novel Research Aspects in Mathematical and Computer Science Vol. 5

Based on information provided by INEP and a case study completed at the University of Brasilia (UnB), the overall goal of the present study was to examine dropout from Brazilian computing degree courses. A student was deemed to have circumvented the system if they "disengage[d] from the course for any reason other than degree attainment." In order to examine potential relationships between dropout rates from courses in the major fields of Science, Mathematics, and Computing, as well as possible correlations between the number of applicants per opening, the impact of gender, and requirements for algorithmic abstraction and mathematical proficiency, dropout rates from these courses were examined. The Organisation for Economic Co-operation and Development (OECD) has identified eight important categories for classification, along with the field of computing, and these areas were used to calculate dropout between 2010 and 2014. The analysis of the data looked for any indication that variables like algorithmic abstraction, the number of applications per opening, or the gender of the students had an effect on dropout rates. Although the present study is limited in its ability to draw general conclusions about such a broad and complicated topic, it does offer some evidence for the impact of prerequisites for mathematical proficiency and algorithmic abstraction on students' decision to leave computing degree programmes. The poll of evaded students was conducted in a public university, it should be underlined (UnB).


Author (s) Details:

Raphael Magalhães Hoed,
Federal Institute of Education, Science and Technology of Northern Minas Gerais (IFNMG), Farm São Geraldo, Kilometer 06, Januária, MG CEP 39480-000, Brazil.

Marcelo Ladeira,
Department of Computer Science, University of Brasilia (UnB), CP 4466, Brasília, DF CEP 70919-970, Brazil.

Leticia Lopes Leite,
Department of Computer Science, University of Brasilia (UnB), CP 4466, Brasília, DF CEP 70919-970, Brazil.