An Analysis of Web Services and Design of Information Management on Vocational Education Websites in Thailand

Jeerungsuwan, Namon; Nilsook, Prachyanun; Wannapiroon, Panita

doi:10.1109/icimt.2009.108

Cited by 2 publications

(2 citation statements)

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“…In this research, we studied and developed prototype of RA for information system. [27] It is designed to work in real time, therefore, the design of the network data capture requires a special Network Interface Card (NIC) [28] with high efficiency and speed that corresponds to the speed of the network traffic to be able to capture, the information of the network system immediately and fully able to capture data into pcap format. Once converted to CICIDS2017 dataset [21], the data will be deleted.…”

Section: B the Results Shows The Architectural Design Of Ra Informatimentioning

confidence: 99%

A Real-time Risk Assessment for Information System with CICIDS2017 Dataset Using Machine Learning

Pangsuban¹,

Nilsook²,

Wannapiroon³

2020

IJMLC

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The purpose of this research was to study the concept and architectural design for Risk Assessment (RA) for information system with the Canadian Institute for Cybersecurity Intrusion Detection Systems 2017 dataset (CICIDS2017 dataset) using Machine Learning (ML) to establish a model. It evaluated the risk on detected network data. The results indicated, the concept consisted of input such as CICIDS2017 dataset, ML, network data and risk matrix. Information system real time RA using CICIDS2017 dataset and ML were processes and the RA on the system were outcomes. In addition, the concept components were improved upon and comprised of four sections; 1) network data capture for network data collection, 2) CICIDS2017 that was intrusion dataset for establishment of a predictive model with ML algorithm, 3) classification predictive model, forecasted on intrusion from network data and 4) RA report, estimated risk of information in risk matrix format. Finally, architectural design, consists of three major parts which includes; network data capture, risk predictive analysis and RA report.

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Section: B the Results Shows The Architectural Design Of Ra Informatimentioning

confidence: 99%

A Real-time Risk Assessment for Information System with CICIDS2017 Dataset Using Machine Learning

Pangsuban¹,

Nilsook²,

Wannapiroon³

2020

IJMLC

Self Cite

View full text Add to dashboard Cite

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“…The Information and Communication Technology Center of the Ministry of Education will examine the files to ensure that they are completely accurate and not over-complicated. Then, it stores the data the database system and (2) transfer in the form of Web Service [12], [13] which uses XML Protocol for transferring and storing data in the database system.…”

Section: Moe Data Exchange On Rest-soamentioning

confidence: 99%

The Multi-Level Data Exchange with Representational State Transfer on Service-Oriented Architecture

Nuam-In¹,

Nilsook²,

Wannapiroon³

2020

IJMLC

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In order for government organizations to be geared towards digital government they need to have the basic systems in terms of hardware, software, systems and data in order to support integration. Therefore, the exchange of government data is considered to be the major factor in developing digital government. This article aims to design the service-oriented architecture (SOA) for data exchange within the Ministry of Education in Thailand which has a varied internal structure, by using REST as the "Architectural style" and JSON as the standard for exchanging data according to the information standard that is prescribed by the Ministry of Education.

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An Analysis of Web Services and Design of Information Management on Vocational Education Websites in Thailand

Abstract: Abstract-The objective of this research is to evaluate 233 websites of vocational education institutions in

Cited by 2 publications

References 1 publication

A Real-time Risk Assessment for Information System with CICIDS2017 Dataset Using Machine Learning

A Real-time Risk Assessment for Information System with CICIDS2017 Dataset Using Machine Learning

The Multi-Level Data Exchange with Representational State Transfer on Service-Oriented Architecture

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