A new SmartSMS protocol for secure SMS communication in m-health environment

Vijayakumar, Pandi; Ganesh, S. Milton; Deborah, L. Jegatha; Kshatriya, Bharat S. Rawal

doi:10.1016/j.compeleceng.2016.11.016

Cited by 20 publications

(12 citation statements)

References 14 publications

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“…Equation (3) shows that the confidence of rule A⇒B can be derived from the support counts of A and A B, and it is straightforward to derive the corresponding association rules A⇒B and B⇒A [31]. Then, the association rule for a relation e.g.…”

Section: Resultsmentioning

confidence: 99%

“…From this initial idea, several data handling techniques have been created, such as Data Mining (DM) or Machine Learning (ML). They have been successfully applied to a range of human effort areas including detection of illness and mobile health [3], [4], [5], [6], environmental and pollution studies [7], [8], [9], [10], being these only examples of the many areas to which these techniques have been recently applied. In the educational field, there are different applications such as educational data mining and learning analytics [11], [12], whose purpose is oriented towards the designing of algorithms, methods, and models, that will allow exploring data from learning environments.…”

Section: Introductionmentioning

confidence: 99%

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Educational Tool for Generation and Analysis of Multidimensional Modeling on Data Warehouse

Ledesma¹,

Galván²,

García³

et al. 2020

IJACSA

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The curricular inclusion of topics, study plans, and teaching programs related to the study of Data Science has been trending mostly in higher-level education for the last years. However, the previous knowledge requirements for students to adequately assimilate these lessons are more specialised than the ones they obtain during secondary education. On the one hand, the interaction with complexes techniques and materials is needed, and on the other, tools to practice on-demand are required in the current learning. So, this is an excellent opportunity for the creation of data analysis tools for educational purpose that could be considered as a starting point of a broad area of application. This paper presents a pedagogical support tool aimed to facilitate the student approach to the basic knowledge of data mining through the practice of the analysis of online analytical processing (OLAP). It is a prototype that allows the visualisation of the multidimensional cubes generated with all possible combinations of the dimensions of the data set, as well as their storage in databases, the recovery operations for views, and the implementation of an algorithm for the selection of the optimal view set for materialising the set of records resulting from a search of the database, and computing the materialisation costs and total records recovered. The prototype also carries out and present recurrent patterns and association rules while considering factors such as support variables and reliability. All of this is steps are done explicitly to aid the students to comprehend the generation process of data cubes in the data mining discipline.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Educational Tool for Generation and Analysis of Multidimensional Modeling on Data Warehouse

Ledesma¹,

Galván²,

García³

et al. 2020

IJACSA

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show abstract

“…Incorporating an ECC integration unit, a smart card, and a portable device helps to ensure the data transmitted is secure and also the critical data quality is maintained [2]. Vijayakumar et al have designed IoT-based wearable devices to collect patient medical data and securely pass SMS alerts in medical industry [3,4].…”

Section: Literature Reviewmentioning

confidence: 99%

Ensuring Improved Security in Medical Data Using ECC and Blockchain Technology with Edge Devices

Christo

Jesi

Priyadarsini

et al. 2021

Security and Communication Networks

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Hospital data management is one of the functional parts of operations to store and access healthcare data. Nowadays, protecting these from hacking is one of the most difficult tasks in the healthcare system. As the user’s data collected in the field of healthcare is very sensitive, adequate security measures have to be taken in this field to protect the networks. To maintain security, an effective encryption technology must be utilised. This paper focuses on implementing the elliptic curve cryptography (ECC) technique, a lightweight authentication approach to share the data effectively. Many researches are in place to share the data wirelessly, among which this work uses Electronic Medical Card (EMC) to store the healthcare data. The work discusses two important data security issues: data authentication and data confidentiality. To ensure data authentication, the proposed system employs a secure mechanism to encrypt and decrypt the data with a 512-bit key. Data confidentiality is ensured by using the Blockchain ledger technique which allows ethical users to access the data. Finally, the encrypted data is stored on the edge device. The edge computing technology is used to store the medical reports within the edge network to access the data in a very fast manner. An authenticated user can decrypt the data and process the data at optimum speed. After processing, the updated data is stored in the Blockchain and in the cloud server. This proposed method ensures secure maintenance and efficient retrieval of medical data and reports.

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“…Also, data mining term refers to data sets that are so massive or complex in nature so that traditional data processing methods and methodologies are inadequate to effectively analyze them [1,2]. Data mining and big data has been successfully applied to different fields of human endeavor, including environmental and pollutant studies [3][4][5][6], disease detection and m-health [7][8][9][10], IoT and smart cities [11][12][13], but it does not only apply to these fields; these are just some of the recent fields of application of these techniques, they also apply to economic studies such as price prediction, marketing, or banking operations to name a few.…”

Section: Introductionmentioning

confidence: 99%

Computer Tool Prototype for the Selections of Views to Materialize in Data Cubes and Frequent Pattern

Galván¹,

García²

2019

Communications in Computer and Information Science

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The widespread availability of new computational methods and tools for data analysis represents a great challenge for new students who need to now the basics. It is difficult the selection of the most appropriate strategy and the collection of methods in data mining it's a good example. Some of these methods require guidelines that may help practitioners in the appropriate selection of data mining tools. In the present paper it is showed the proposal of a tool which shows visually the implementation of an algorithm for the selection of the optimal set of views to materialize from a multidimensional cube, being the main parameter the materialization cost of those views. The tool allows defining operations with cubes on different dimensions from a list of business questions that can be performance on them, all this in order to ease students the learning and understanding of data cube generation in data mining discipline.

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A new SmartSMS protocol for secure SMS communication in m-health environment

Cited by 20 publications

References 14 publications

Educational Tool for Generation and Analysis of Multidimensional Modeling on Data Warehouse

Educational Tool for Generation and Analysis of Multidimensional Modeling on Data Warehouse

Ensuring Improved Security in Medical Data Using ECC and Blockchain Technology with Edge Devices

Computer Tool Prototype for the Selections of Views to Materialize in Data Cubes and Frequent Pattern

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