在目标-攻击弹-防御弹群(target-attacker-defenders,TADs)系统中,防御弹群通过与目标(载机)异构协同、弹群间同构协同以保护载机并降低单弹脱靶的风险。针对TADs系统在二维平面下的协同主动防御模型进行了研究,采用机/弹协同和防御弹...在目标-攻击弹-防御弹群(target-attacker-defenders,TADs)系统中,防御弹群通过与目标(载机)异构协同、弹群间同构协同以保护载机并降低单弹脱靶的风险。针对TADs系统在二维平面下的协同主动防御模型进行了研究,采用机/弹协同和防御弹群协同的两层制导策略。在机弹协同方面,防御弹领弹与载机进行异构协同,考虑载机及防御弹领弹的机动能力限制,采用协同视线制导律(cooperative line of sight guidance,CLOSG)分别得到载机和防御弹领弹的制导指令;在防御弹群协同方面,考虑单弹计算能力约束,拦截时间约束和加速度约束,设计出基于分布式模型预测控制(distributed model predictive control,DMPC)的算法实现弹群从弹和防御弹领弹协同同时抵达并拦截攻击弹。仿真结果表明,多防御弹协同一致拦截制导算法能够实现TADs系统中载机和防御弹群的异构协同主动防御,并实现防御弹群的一致性同时拦截,以降低单弹脱靶的风险。展开更多
Combining the heuristic algorithm (HA) developed based on the specific knowledge of the cooperative multiple target attack (CMTA) tactics and the particle swarm optimization (PSO), a heuristic particle swarm opt...Combining the heuristic algorithm (HA) developed based on the specific knowledge of the cooperative multiple target attack (CMTA) tactics and the particle swarm optimization (PSO), a heuristic particle swarm optimization (HPSO) algorithm is proposed to solve the decision-making (DM) problem. HA facilitates to search the local optimum in the neighborhood of a solution, while the PSO algorithm tends to explore the search space for possible solutions. Combining the advantages of HA and PSO, HPSO algorithms can find out the global optimum quickly and efficiently. It obtains the DM solution by seeking for the optimal assignment of missiles of friendly fighter aircrafts (FAs) to hostile FAs. Simulation results show that the proposed algorithm is superior to the general PSO algorithm and two GA based algorithms in searching for the best solution to the DM problem.展开更多
对海绵建构进行了洞察后,作者发觉海绵建构及其多数变体建构在对抗一些一般攻击(包过Joux的多碰撞攻击,Dean的固定点技术,Kelsey and Schneier的长消息次原像攻击,Kelsey and Kohno的集群攻击等)时,主要采取的方法是提高内部状态的容量...对海绵建构进行了洞察后,作者发觉海绵建构及其多数变体建构在对抗一些一般攻击(包过Joux的多碰撞攻击,Dean的固定点技术,Kelsey and Schneier的长消息次原像攻击,Kelsey and Kohno的集群攻击等)时,主要采取的方法是提高内部状态的容量,本文给出了一个基于海绵建构的新的密码建构(简称为ESC),作者证明了ESC在带有相同内部状态容量时一般情况下将比海绵建构更加抵抗上述的一般攻击。作者的设计思想来源于海绵建构与Merkle-Damgard?建构的差别,由于海绵建构是基于变换(或置换)函数的迭代建构,变换(或置换)函数所处理的中间链值即整体状态下还有所谓的内部状态。当攻击者在对海绵建构发动上述等一般攻击时,一般情况下最好的方法是先寻找内部碰撞,然后将其转化为状态碰撞。因此如果能增加内部碰撞向状态碰撞转换的工作量,则自然增加了对上述一般攻击的抵抗性。最后作者还讨论了ESC的安全和效率问题。展开更多
文摘在目标-攻击弹-防御弹群(target-attacker-defenders,TADs)系统中,防御弹群通过与目标(载机)异构协同、弹群间同构协同以保护载机并降低单弹脱靶的风险。针对TADs系统在二维平面下的协同主动防御模型进行了研究,采用机/弹协同和防御弹群协同的两层制导策略。在机弹协同方面,防御弹领弹与载机进行异构协同,考虑载机及防御弹领弹的机动能力限制,采用协同视线制导律(cooperative line of sight guidance,CLOSG)分别得到载机和防御弹领弹的制导指令;在防御弹群协同方面,考虑单弹计算能力约束,拦截时间约束和加速度约束,设计出基于分布式模型预测控制(distributed model predictive control,DMPC)的算法实现弹群从弹和防御弹领弹协同同时抵达并拦截攻击弹。仿真结果表明,多防御弹协同一致拦截制导算法能够实现TADs系统中载机和防御弹群的异构协同主动防御,并实现防御弹群的一致性同时拦截,以降低单弹脱靶的风险。
文摘Combining the heuristic algorithm (HA) developed based on the specific knowledge of the cooperative multiple target attack (CMTA) tactics and the particle swarm optimization (PSO), a heuristic particle swarm optimization (HPSO) algorithm is proposed to solve the decision-making (DM) problem. HA facilitates to search the local optimum in the neighborhood of a solution, while the PSO algorithm tends to explore the search space for possible solutions. Combining the advantages of HA and PSO, HPSO algorithms can find out the global optimum quickly and efficiently. It obtains the DM solution by seeking for the optimal assignment of missiles of friendly fighter aircrafts (FAs) to hostile FAs. Simulation results show that the proposed algorithm is superior to the general PSO algorithm and two GA based algorithms in searching for the best solution to the DM problem.
文摘对海绵建构进行了洞察后,作者发觉海绵建构及其多数变体建构在对抗一些一般攻击(包过Joux的多碰撞攻击,Dean的固定点技术,Kelsey and Schneier的长消息次原像攻击,Kelsey and Kohno的集群攻击等)时,主要采取的方法是提高内部状态的容量,本文给出了一个基于海绵建构的新的密码建构(简称为ESC),作者证明了ESC在带有相同内部状态容量时一般情况下将比海绵建构更加抵抗上述的一般攻击。作者的设计思想来源于海绵建构与Merkle-Damgard?建构的差别,由于海绵建构是基于变换(或置换)函数的迭代建构,变换(或置换)函数所处理的中间链值即整体状态下还有所谓的内部状态。当攻击者在对海绵建构发动上述等一般攻击时,一般情况下最好的方法是先寻找内部碰撞,然后将其转化为状态碰撞。因此如果能增加内部碰撞向状态碰撞转换的工作量,则自然增加了对上述一般攻击的抵抗性。最后作者还讨论了ESC的安全和效率问题。