# Multi-Channel Power Scheduling Based on Intrusion Detection System Under DDoS Attack: A Starkberg Game Approach

## TL;DR

This paper proposes a game-based approach to optimize power allocation in wireless networks under DDoS attacks using an intrusion detection system.

## Contribution

A novel intrusion detection system and power allocation strategy using a Stackelberg game framework under DDoS attacks.

## Key findings

- The proposed IDS using packet reception rate improves intrusion detection accuracy.
- Combining APF with DE algorithm effectively solves non-linear optimization problems.
- Case studies confirm the effectiveness of the defense strategy under energy constraints.

## Abstract

This study aims to explore the optimal power allocation problem under Distributed Denial of Service (DDoS) attack in wireless communication networks. The Starkberg Equilibrium (SE) framework is employed to analyze the strategic interactions between defenders and attacker under conditions of incomplete information. Considering the energy constraints of both sensors and attacker, this paper also proposes an Intrusion Detection System (IDS) based on remote estimation to achieve an optimal defense strategy, with Packet Reception Rate (PPR) serving as a criterion for intrusion detection. Targeting leaders and followers, the optimal power allocation solution is derived with Signal-to-Interference-Noise Ratio (SINR) and transmission cost as the objective functions. By combining the Adaptive Penalty Function (APF) method with the Differential Evolution (DE) algorithm, the study effectively addresses related non-linear and non-convex optimization problems. Finally, the effectiveness of the proposed method is verified through case studies.