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JOIV : International Journal on Informatics Visualization
Published by Politeknik Negeri Padang
ISSN : 25499610     EISSN : 25499904     DOI : -
Core Subject : Science,
Computer Science & IT
JOIV : International Journal on Informatics Visualization is an international peer-reviewed journal dedicated to interchange for the results of high quality research in all aspect of Computer Science, Computer Engineering, Information Technology and Visualization. The journal publishes state-of-art papers in fundamental theory, experiments and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion and concise conclusion. As our commitment to the advancement of science and technology, the JOIV follows the open access policy that allows the published articles freely available online without any subscription.
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Articles 12 Documents
 1   2 
Search results for , issue "Vol 3, No 3 (2019)" : 12 Documents clear
A Data Mining Approach for Prediction Modeling Using Association rule Sarkhel H.Taher Karim; Rzgar Sirwan Raza
JOIV : International Journal on Informatics Visualization Vol 3, No 3 (2019)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (845.435 KB) | DOI: 10.30630/joiv.3.3.264

Abstract

   In the present work, a data mining approach is highlighted, a prediction optimization data mining approach association rule is chosen for performing prediction modeling in a supermarket application, a data mining prediction analysis model is formulated based on association rule is presented in this work.  The result of the model formulated is then compared with the result produced on the similar set of input on the traditional optimization problems. While comparing the results it was observed that the result produced by the presented model is much closer to the reality.
A Review of Cyber-security Measuring and Assessment Methods for Modern Enterprises Ahmed, Said Fathi; A. Hikal, Noha
JOIV : International Journal on Informatics Visualization Vol 3, No 3 (2019)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1508.429 KB) | DOI: 10.30630/joiv.3.3.241

Abstract

Regarding the huge spread of technology among individuals and enterprises, technologies and electronic communications  become one of the most important pillars of the operation of small and large enterprises alike, and the source of education and entertainment for individuals, this led to thinking about the risks of reliance on this technology and the impact on the economic index of enterprises market, reputation and the safety of individuals and enterprises, these fears forced the  experts and decision-makers to think about information security and develop new methods to measure and assess the level of protection of information and data in enterprises and privacy of individuals. This paper introducing a review of recent cyber-security measuring and assessment methodologies and tools based on industry best practices for the measure and assesses of network security and protection of a modern enterprise data network. The analysis is based on a study the methods for the measurement and assessment of information security at the physical and technical level, penetration testing and identification of weaknesses in the cyber-security system followed and policies used in modern enterprises. A comprehensive description of the strengths, weaknesses, and licensing conditions for tools is presented. Moreover, major security requirements associated with modern enterprises is discussed and analyzed to discover vulnerability in the existing systems and explain the potential impact of this vulnerability.

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