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311960

Data Security Evaluation Based on Trend Line Rules Model

Article

Last updated: 28 Dec 2024

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Abstract

 With the rise in demand for cloud services, most companies attempt to provide a lot of cloud services and benefit from them, one of the most important services is accounting the cost of data ciphering in the clouds market. This proposed work proved that the cryptographic keys are variable as evident mathematically, which in turn makes it difficult to guess the decoding of the data, and extends the cloud security model by generating both private and public keys based on local cost and trend line rules respectively. Due to the increased decoding time as evident from the proof results, the suitable security level is implemented and tested using Symmetric and Asymmetric encryption algorithms. 

DOI

10.21608/mjcis.2017.311960

Keywords

Cloud Computing, trend line Models, Symmetric and Asymmetric Algorithms

Authors

First Name

Nazar

Last Name

K. Khorsheed

MiddleName

-

Affiliation

Faculty of Computers and Information Mansoura University, Egypt

Email

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City

-

Orcid

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First Name

Mohammad

Last Name

A. El-Dosuky

MiddleName

-

Affiliation

Faculty of Computers and Information Mansoura University, Egypt

Email

-

City

-

Orcid

-

First Name

Taher

Last Name

T. Hamza

MiddleName

-

Affiliation

Faculty of Computers and Information Mansoura University, Egypt

Email

-

City

-

Orcid

-

First Name

Magdi

Last Name

Z. Rashad

MiddleName

-

Affiliation

Faculty of Computers and Information Mansoura University, Egypt

Email

mzrashad@mans.edu.eg

City

-

Orcid

-

Volume

13

Article Issue

1

Related Issue

42818

Issue Date

2017-12-01

Receive Date

2023-08-09

Publish Date

2017-12-01

Page Start

37

Page End

41

Print ISSN

2090-1666

Online ISSN

2090-1674

Article File

MJCIS_Volume 13_Issue 1_Pages 37-41.pdf

PDF . 378.0kB

Link

https://mjcis.journals.ekb.eg/article_311960.html

Detail API

https://mjcis.journals.ekb.eg/service?article_code=311960

Order

311,960

Type

Original Research Articles.

Type Code

1,784

Publication Type

Journal

Publication Title

Mansoura Journal for Computer and Information Sciences

Publication Link

https://mjcis.journals.ekb.eg/

MainTitle

Data Security Evaluation Based on Trend Line Rules Model

Details

Type

Article

Created At

28 Dec 2024