Data Integration Progression in Large Data Source Using Mapping Affinity

Ahamed, B. Bazeer; Ramkumar, T.; Hariharan, Shanmugasundaram

doi:10.1109/asea.2014.11

Cited by 15 publications

(4 citation statements)

References 10 publications

(7 reference statements)

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“…Paper [4] uses the method used by binary images encryption with the possibility of using several keys example: initial state, the external parameters and iterations' number. Paper [5] analyses the Advanced Encryption Standard (AES) for ensuring the encryption performance.…”

Section: Related Workmentioning

confidence: 99%

Sensible Image Encryption for Military Applications Based on Advanced Encryption Standard Algorithm (AES)

Krishnamoorthy

2023

Preprint

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With the rapid development of military applications and advanced warfare between the nations, the building of network and communication technology, transmitting sensible information across troops has become a necessary way of information transmission. Therefore, much more attention has been paid to the development of the image encryption technology for military applications. In this paper, we propose a image encryption technology based on AES algorithm, and the algorithm implementation in GNC/GCC. Then, we perform image processing, obtain the password text that can use the AES encryption algorithm, combine both password and secured image. Then, the digital image can be encrypted, and the algorithm is realized in GNU simulation. Through the comparison of the histogram analysis and the analysis of the key, the result has showed that the method can better realize the effect of encryption and decryption with more security for image transmission.

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Section: Related Workmentioning

confidence: 99%

Sensible Image Encryption for Military Applications Based on Advanced Encryption Standard Algorithm (AES)

Krishnamoorthy

2023

Preprint

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“…Location detail of donor who is accessing the system is also fetched using the geo-location API. It derives the latitude and longitude values for mapping the current address online [16]. This feature is used to search for orphans nearby the donor's location.…”

Section: Age-based Classificationmentioning

confidence: 99%

Orphan Adoption Management System using Machine Learning Approach

Kaladevi¹,

Jeevitha²,

Jeevitha³

et al. 2022

IJEME

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According to UNICEF, the latest estimate states that there are about 2.7 million children in orphanages. Orphanage is a residence for people who are without parental support or any moral support from anyone. Such orphans require help from people who are in a good financial state to donate them. Generally, in orphanage records are usually maintained for future reference, retrieval, and easy management. The objective of this paper is to help the orphans from different orphanages to get help from the donors who wish to donate them by using our web application. The proposed system helps the staff in reducing manual paper work and enhances tidiness in record keeping since the existing one uses manual keeping, i.e., the use of files and papers. The system allows the orphanage owner to add and modify the orphan records. The system provides suggestions for assignment of these orphans to the caretakers/donors by using SVM (Support Vector Machine) algorithm. Donor can select the orphan and request for adoption from the orphanage owner. The Orphanage owner can accept or reject help from the donor. The proposed system is aimed to facilitate donors with the details of an orphan and providing fund specifically to that orphan.

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“…• Transformation: It converts the raw data to an appropriate format for further analysis by going through a series of specific steps [45]. • Integration: is the process of combining the data views in order to build a single view of data distributed over different sites [46]. However, it requires complex transformations and more computational capability before starting further phases [47].…”

Section: Data Pre-processingmentioning

confidence: 99%

Big data monetization throughout Big Data Value Chain: a comprehensive review

et al. 2020

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Value creation is the rational goal of any organization. However, in a changing world, in terms of data, it is very difficult to find strategies to sustainably generate new value and improve operations. In this respect, generating value may mean revisiting some deeplyheld conceptions of different processes. For this, each organization has to ensure an efficient and updated management of value creation processes for both inter-organization and partners. Value chain (VC) is one of the key solutions to such dilemmas.

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Data Integration Progression in Large Data Source Using Mapping Affinity

Cited by 15 publications

References 10 publications

Sensible Image Encryption for Military Applications Based on Advanced Encryption Standard Algorithm (AES)

Sensible Image Encryption for Military Applications Based on Advanced Encryption Standard Algorithm (AES)

Orphan Adoption Management System using Machine Learning Approach

Big data monetization throughout Big Data Value Chain: a comprehensive review

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