NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.
Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.
An official website of the United States government
Here’s how you know
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Network Security Traffic Analysis Platform - Design and Validation
Published
Author(s)
Zineb Maasaoui, Anfal Hathah, Hasnae Bilil, Van Sy Mai, Abdella Battou, ahmed lbath, Veton KEPUSKA
Abstract
Real-time traffic management and control have become necessary in today's networks due to their complexity and cybersecurity risks. With the increase in internet use, threats are more present and require real-time detection and analysis to prevent intrusions. As the number of data flows increases, the number and the types of attacks increase, which makes detecting intrusions challenging. Over the last years, many researchers have focused on different ways to detect intrusions in different systems. In this work, we describe the design and evaluation of a network security traffic analysis platform (NSTAP) to collect, view, search and analyze traffic data in real-time. Through charts, tables, histograms and other visualization methods, we demonstrate its power and usefulness with results obtained with simple time analytics of large data volumes. This work is intended to be the foundation for machine learning based automation tools.
Proceedings Title
Main Conference / Symposium
Conference Dates
December 5-7, 2022
Conference Location
Abu-Dhabi, AE
Conference Title
19th ACS/IEEE International Conference on Computer Systems and Applications AICCSA 2022
Maasaoui, Z.
, Hathah, A.
, Bilil, H.
, Mai, V.
, Battou, A.
, Lbath, A.
and KEPUSKA, V.
(2023),
Network Security Traffic Analysis Platform - Design and Validation, Main Conference / Symposium, Abu-Dhabi, AE, [online], https://doi.org/10.1109/AICCSA56895.2022.100178622.10017862, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=932794
(Accessed October 4, 2025)