Reliable Network Traffic Collection for Network Characterization and User Behavior
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2013, Vol 4, Issue 2
Abstract
This paper presents a reliable and complete traffic collection facility as a first and crucial step toward accurate traffic analysis for network characterization and user behavior. The key contribution is to produce an accurate, reliable and high fidelity traffic traces as the valuable source of information in the passive traffic ananlysis approach. In order to guarantee the traces reliability, we first detect the bottlenecks of the collection facility, and then propose different monitoring probes starting from the ethernet network interface and ending at the packet trace. The proposed facility can run without stop for long time instead of one-shot periods, therefore, it can be used to draw a complete picture of network traffic that fully characterize the network and user behavior. The laboratory experiments conclude that the system is highly reliable, stable and produces reliable traces attached with different statistics reports that come from the installed monitoring probes.
Authors and Affiliations
Ali Awad, Hanafy Ali, Heshasm Hamed
Keywords
Related Articles
- EP ID EP156585
- DOI 10.14569/IJACSA.2013.040241
- Views 83
- Downloads 0
Android Security Development: SpywareDetection, Apps Secure Level and Data Encryption Improvement
Most Android users are unaware that their smartphones are as vulnerable as any computer, and that permission by Android users is an important part of maintaining the security of Android smartphones. We present a method t...
Iris Recognition Using Modified Fuzzy Hypersphere Neural Network with different Distance Measures
In this paper we describe Iris recognition using Modified Fuzzy Hypersphere Neural Network (MFHSNN) with its learning algorithm, which is an extension of Fuzzy Hypersphere Neural Network (FHSNN) proposed by Kulkarni et...
Trending Challenges in Multi Label Classification
Multi label classification has become a very important paradigm in the last few years because of the increasing domains that it can be applied to. Many researchers have developed many algorithms to solve the problem of m...
Validating Antecedents of Customer Engagement in Social Networking Sites using Fuzzy Delphi Analysis
The concept of online customer engagement is getting imperative in modern business due to the uncontrolled conversation via cyber-avenue. This study validates the antecedents of customer engagement conceptualized in Soci...
Assessing 3-D Uncertain System Stability by Using MATLAB Convex Hull Functions
This paper is dealing with the robust stability of an uncertain three dimensional (3-D) system using existence MATLAB convex hull functions. Hence, the uncertain model of plant will be simulated by INTLAB Toolbox; furthe...