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| From Kill Chain to Kill Web： A Survey on Modeling， Evaluation， and Optimization |
| WANG Chaochen1，JIANG Hongru2，3，WANG Buli1，XIA Qiaowei4，ZHANG Xianchun1 |
| 1. School of Automation， Nanjing University of Science and Technology， Nanjing 210094， Jiangsu， China；2. Shanghai Electro-Mechanical Engineering Institute， Shanghai 201109， China； 3. National Key Laboratory of Automatic Target Recognition （ATR）， Shanghai 201109， China； 4. Shanghai Aerospace Equipment Manufacturing Plant Co.， Ltd.， Shanghai 200245， China |
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Abstract This paper comprehensively and systematically analyzed the theoretical evolution, model construction, effectiveness evaluation, and optimization methodologies of kill chains and webs. First, the fundamental distinctions between kill chains and kill webs were introduced via conceptual comparative analysis. Then, from the perspective of four key modeling challenges: structured information representation, cooperative system optimization, dynamic adaptability, and intelligent decision-making， the construction mechanisms and technological breakthroughs of various models were investigated. Quantitative evaluation methods for key dimensions, including survivability, resilience, and node importance, were summarized. Following this, strategies for dynamic reconstruction optimization and multi-objective conflict resolution were studied. Finally, future development trends of kill chains and kill webs were projected.
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Received: 15 May 2025
Published: 09 September 2025
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2025, Vol. 8 
