Pinning-based memory state-feedback control for complex dynamical networks subject to double random deception attacks

Key Points

• Memory state-feedback control enhances network stability against double random deception attacks, and improves the system's resilience.
• Key metrics include a % increase in stability under attack conditions, tested across multiple simulation scenarios.
• Theoretical analysis of network behavior under double random deception attacks confirms the effectiveness of the proposed control mechanisms.
• These findings imply potential advancements in securing complex systems from sophisticated cyber threats.