Cumulative Sum Algorithm for Detecting SYN Flooding Attacks

TL;DR

This paper introduces a lightweight, non-parametric cumulative sum algorithm to effectively detect SYN flooding attacks, demonstrating high detection accuracy through experiments with real attack data.

Contribution

The paper presents a novel non-parametric cumulative sum method specifically designed for efficient SYN flooding attack detection.

Findings

High detection accuracy on real attack data

Effective in real-time detection scenarios

Lightweight computational requirements

Abstract

SYN flooding attacks generate enormous packets by a large number of agents and can easily exhaust the computing and communication resources of a victim within a short period of time. In this paper, we propose a lightweight method for detecting SYN flooding attack by non-parametric cumulative sum algorithm. We experiment with real SYN flooding attack data set in order to evaluate our method. The results show that our method can detect SYN flooding attack very well.