Simultaneous Attack
Simultaneous attacks, targeting multiple vulnerabilities within a system, pose a significant challenge across diverse fields, from smart grids to machine learning. Current research focuses on developing robust defense mechanisms against these coordinated attacks, employing techniques like game theory, graph-based approaches, and ensemble methods within machine learning models to improve resilience. This research is crucial for enhancing the security and reliability of complex systems, particularly in critical infrastructure and data-driven applications, where the impact of successful attacks can be severe. Benchmarking frameworks are emerging to evaluate the effectiveness of defenses against a variety of simultaneous attacks, highlighting the need for more robust and generalizable solutions.