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In Chaps. 2 and 3 , efficient secure fusion estimation methods based on data privacy protection strategies were proposed from the perspective of proactive defense. Chapter 4 proposed a fusion estimation method to improve the speed of attack detection and warning. From the perspective of passive defense, Chaps. 5 and 6 developed several secure fusion estimation methods to defend against FDI attacks. In this chapter, a bounded recursive optimization approach is adopted to defend against the unknown DoS attacks.

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Networked Nonlinear Fusion Estimation Under DoS Attacks

  • 章节

  • 发表日期：

    2025年

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  • Bo Chen,
  • Tongxiang Li,
  • Wen-An Zhang,
  • Li Yu

摘要

In Chaps. 2 and 3 , efficient secure fusion estimation methods based on data privacy protection strategies were proposed from the perspective of proactive defense. Chapter 4 proposed a fusion estimation method to improve the speed of attack detection and warning. From the perspective of passive defense, Chaps. 5 and 6 developed several secure fusion estimation methods to defend against FDI attacks. In this chapter, a bounded recursive optimization approach is adopted to defend against the unknown DoS attacks.