Page Header

  • Home
  • Guidelines
  • Policies
  • Submissions
  • Search
  • Archives
  • Announcements
  • Statistics

About TDTU

Ton Duc Thang University (TDTU) is a public university with the main campus located in vibrant Ho Chi Minh City, Vietnam’s economic and educational hub. Founded in 1997, TDTU has developed into one of the largest and fastest growing universities in Vietnam with more than 22,000 students, enrolled in undergraduate and graduate programs ranging from science, engineering to business management, law, and humanities. To foster the country’s human resources and best serve the nation in the knowledge based economy of the 21st century, TDTU is combining vocational training with high-level research. The establishment of JAEC is one of TDTU’s efforts in this direction. More
User

Guide for Authors

  • View 'Guide for Authors' online

Submit Your Paper

In order to submit your paper, please login and navigate to the author page.

If you do not have an account, please consider registering one.

Track Your Paper

Track accepted paper
Once your article has been accepted you will receive an email from Author Services. This email contains a link to check the status of your articles.

Click here to track your accepted papers
Journal Content

Browse
  • By Issue
  • By Author
  • By Title
  • Home
  • Vol 1, No 1 (2017)
  • Macura

Multi-criteria analysis and prediction of network incidents using monitoring system

Lukas Macura, Miroslav Voznak

Abstract


Today, network technologies can handle throughputs up to 100Gbps, transporting 200 million packets per second on a single link. Such high bandwidths impact network flow analysis and as a result require significantly more powerful hardware. Methods used today concentrate mainly on analyzes of data flows and patterns. It is nearly impossible to actively look for anomalies in network packets and flows for a small amount of change of monitoring patterns could result in big increases in potentially false positive incidents. This paper focuses on multi-criteria analyzes of systems generated data in order to predict incidents. We prove that systems generated monitoring data are an appropriate source to analyze and enable for much more focused and less computationally intensive monitoring operations. By using appropriate mathematical methods to analyze stored data it is possible to obtain useful information. During our work, some interesting anomalies in networks were found by utilizing simple data correlations using monitoring system Zabbix. We concluded that it is possible to declare that deeper analysis is possible due to Zabbix monitoring system and its features like Open-Source core, documented API and SQL backend for data. The result of this work is a new approach to the analysis containing algorithms which allow to identify significant items in monitoring system.

Full Text:

PDF


DOI: http://dx.doi.org/10.25073/jaec.201711.47

Refbacks

  • There are currently no refbacks.


Readers
View Articles
Voume/Issue Alert
User rights



Authors
Author Information Pack
Submit Your Paper
Track Your Paper
Early Career Resources
Author Agreement
Advertiser/Sponsors
Librarians
Abstracting/Indexing
Societies
Editors
Publishing Ethics Resource Kit
EES Support
Reviewers
Log in as Reviewer
© 2016 Journal of Advanced Engineering and Computation.
Owner: Ton Duc Thang University. All rights reserved.
License No: 507/GP-BTTTT, issued on: 18th November, 2016
Contact address: 19, Nguyen Huu Tho Street, Tan Phong Ward, District 7, Ho Chi Minh City
Tel: +84-3775 5055