一种基于逆向拍卖的雾计算资源分配策略用于智能电网DDoS攻击缓解

Advanced metering infrastructure in smart grids faces critical security challenges from distributed denial of service (DDoS) attacks, while traditional traceback methods suffer from resource constraints that limit their mitigation effectiveness. To address this, we propose a reverse auction-driven fog resource allocation strategy that innovatively employs a reverse auction mechanism to coordinate distributed fog resources for collaborative DDoS attack mitigation. Specifically, the framework is formulated as a 0–1 integer programming model, for which we develop a second-price sealed-bid auction (SPSA) algorithm that reduces computational complexity from factorial to polynomial time while maintaining allocation optimality. Experimental results demonstrate that the SPSA algorithm outperforms existing baseline methods, significantly improving both the efficiency and security of DDoS defenses in smart grid environments.