Journal article Open Access

DETECTION OF FLOODING ATTACKS ON MOBILE AGENTS USING SKETCH TECHNIQUE AND DIVERGENCE MEASURES

Jean Tajer, Mo Adda*1 & Benjamin Aziz2

This paper deals with detection of SYN flooding attacks which are the most common type of attacks in a Mobile Agent World. We propose a new framework for the detection of flooding attacks by integrating Divergence measures over Sketch data structure. The performance of the proposed framework is investigated in terms of detection probability and false alarm ratio. We focus on tuning the parameter of Divergence Measures to optimize the performance. We will evaluate the performance of the proposed divergence measure via the receiver operating characteristic. Our analysis results prove that our proposed algorithm outperforms the existing solutions.

Files (152.0 kB)
Name Size
Jean Tajer.docx
md5:c4d12ad5d94850dc4501a37fda823147
152.0 kB Download
46
29
views
downloads
All versions This version
Views 4647
Downloads 2929
Data volume 4.4 MB4.4 MB
Unique views 4142
Unique downloads 2929

Share

Cite as