Checking integrity of data and recovery in the cloud environment

Kulkarni, Neha Narayan; Jain, Shitalkumar A.

doi:10.11591/ijeecs.v13.i2.pp626-633

Cited by 4 publications

(4 citation statements)

References 18 publications

(19 reference statements)

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“…The summary of findings as shown in Table 3. The summary of findings may be used as reference to various domains such as for cloud computing [10][11][12][13][14][15][16][17][18][19][20][21][22] and IoT [23 -25].…”

Section: Spearman's Rank Order Analysismentioning

confidence: 99%

The influence of Islamic culture on information privacy: case of Malaysia’s computer professionals

Isa

Suhaimi

Noordin

et al. 2020

IJEECS

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<p>In today's era of vulnerability and volatility, technologies in an organization evolving faster than the traditional landscape. Thus, sets the stage for trust and privacy concern for all the data that flying around in the database. Research on cultural aspects toward privacy starting to attract more ongoing research effort especially in Islamic religious culture. Islam gives great importance to the fundamental human right to privacy. This study aims to investigate Islamic cultural influences on Malaysia's computer professionals' self-regulatory efficacy towards the protection of personal information privacy by adapting the research frameworks of previous works. Further, data for this research obtained through the survey with computer professionals. Out of 226 respondents, 208 data are valid and usable for this study. Spearman's Rank Order Correlation was used to determine the relationship between culture and Information privacy self-regulatory efficacy dimensions. The findings from this research could provide a better understanding of the subject matter and be used as the basis for future studies.</p>

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Section: Spearman's Rank Order Analysismentioning

confidence: 99%

The influence of Islamic culture on information privacy: case of Malaysia’s computer professionals

Isa

Suhaimi

Noordin

et al. 2020

IJEECS

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show abstract

“…Whereas the same key and the decryption algorithm are used by the receiver to decrypt the same message. While a public key is used by the sender using asymmetric key cryptography [4], [5]. But a private secret key is assigned to the receiver only [6].…”

Section: Introductionmentioning

confidence: 99%

Linear equation for text cryptography using letters' coordinates

Jarjis

Al-Fadhili

2021

IJEECS

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The linear encryption such as Caesar, mono-alphabetic are used to solve the encryption problem in different fields. This module usually encrypts any letter to exact and one corresponding letter. With advanced technologies in computers, these algorithms seem not to be high level secure. This paper proposed a secure encryption algorithm using modified linear encryption by considering the letters’ positions of the plaintext body. Two advantages the proposed algorithm has against traditional ones. First, the cryptography procedures are simple and secure. Secondly, it has higher security because of the non- ingrained nature of poly-alphabetic for substitution. Consequently, the plaintext body is considered as a 2-D matrix, such that, each letter has two coordinates, the ith and jth. These procedures depend on substituting the coordinates of the letter into a linear equation to provide a different substitution letter. The performance of these procedures showed better and robust results by applying the frequency analysis test for this proposed algorithm evaluating.

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“…The most common method for mobile application development using image processing machine learning technique is Mobile Cloud Computing (MCC). MCC is combination of mobiles and cloud computing which can simply processing from the user loca l devices to the data centre facilities over the internet [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]. The major service providers of MCC are including Google, Amazon, Microsoft and Yahoo.…”

Section: Introductionmentioning

confidence: 99%

Development of vocabulary learning application by using machine learning technique

Brahin¹,

Nasir²,

Jidin³

et al. 2020

Bulletin EEI

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Nowadays an educational mobile application has been widely accepted and opened new windows of opportunity to explore. With its flexibility and practicality, the mobile application can promote learning through playing with an interactive environment especially to the children. This paper describes the development of mobile learning to help children above 4 years old in learning English and Arabic language in a playful and fun way. The application is developed with a combination of Android Studio and the machine learning technique, TensorFlow object detection API in order to predict the output result. Developed application namely “LearnWithIman” has successfully been implemented and the results show the prediction of application is accurate based on the captured image with the list item. The inclusion of the user database for lesson tracking and new lesson will be added for improvement in the future.

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Checking integrity of data and recovery in the cloud environment

Cited by 4 publications

References 18 publications

The influence of Islamic culture on information privacy: case of Malaysia’s computer professionals

The influence of Islamic culture on information privacy: case of Malaysia’s computer professionals

Linear equation for text cryptography using letters' coordinates

Development of vocabulary learning application by using machine learning technique

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