针对目前水下平台授时体系需要卫星协同所导致的隐蔽性差以及因复杂水声信道所导致的授时精度差的问题,结合团队丰富的授时技术积累,设计了一种基于网络时间协议(network time protocol,NTP)水声通信的授时方案以及同步通信协议,并构建...针对目前水下平台授时体系需要卫星协同所导致的隐蔽性差以及因复杂水声信道所导致的授时精度差的问题,结合团队丰富的授时技术积累,设计了一种基于网络时间协议(network time protocol,NTP)水声通信的授时方案以及同步通信协议,并构建了硬件平台.在多种水下环境对授时方案以及硬件平台进行验证和评估,采用此方案以及授时平台对时钟差进行测量,其有效测量值均在150μs以内.展开更多
The Industry 4.0 revolution is characterized by distributed infrastructures where data must be continuously communicated between hardware nodes and cloud servers.Specific lightweight cryptosystems are needed to protec...The Industry 4.0 revolution is characterized by distributed infrastructures where data must be continuously communicated between hardware nodes and cloud servers.Specific lightweight cryptosystems are needed to protect those links,as the hardware node tends to be resource-constrained.Then Pseudo Random Number Generators are employed to produce random keys,whose final behavior depends on the initial seed.To guarantee good mathematical behavior,most key generators need an unpredictable voltage signal as input.However,physical signals evolve slowly and have a significant autocorrelation,so they do not have enough entropy to support highrandomness seeds.Then,electronic mechanisms to generate those high-entropy signals artificially are required.This paper proposes a robust hyperchaotic circuit to obtain such unpredictable electric signals.The circuit is based on a hyperchaotic dynamic system,showing a large catalog of structures,four different secret parameters,and producing four high entropy voltage signals.Synchronization schemes for the correct secret key calculation and distribution among all remote communicating modules are also analyzed and discussed.Security risks and intruder and attacker models for the proposed solution are explored,too.An experimental validation based on circuit simulations and a real hardware implementation is provided.The results show that the random properties of PRNG improved by up to 11%when seeds were calculated through the proposed circuit.展开更多
文摘针对目前水下平台授时体系需要卫星协同所导致的隐蔽性差以及因复杂水声信道所导致的授时精度差的问题,结合团队丰富的授时技术积累,设计了一种基于网络时间协议(network time protocol,NTP)水声通信的授时方案以及同步通信协议,并构建了硬件平台.在多种水下环境对授时方案以及硬件平台进行验证和评估,采用此方案以及授时平台对时钟差进行测量,其有效测量值均在150μs以内.
基金supported by Comunidad de Madrid within the framework of the Multiannual Agreement with Universidad Politecnica de Madrid to encourage research by young doctors(PRINCE).
文摘The Industry 4.0 revolution is characterized by distributed infrastructures where data must be continuously communicated between hardware nodes and cloud servers.Specific lightweight cryptosystems are needed to protect those links,as the hardware node tends to be resource-constrained.Then Pseudo Random Number Generators are employed to produce random keys,whose final behavior depends on the initial seed.To guarantee good mathematical behavior,most key generators need an unpredictable voltage signal as input.However,physical signals evolve slowly and have a significant autocorrelation,so they do not have enough entropy to support highrandomness seeds.Then,electronic mechanisms to generate those high-entropy signals artificially are required.This paper proposes a robust hyperchaotic circuit to obtain such unpredictable electric signals.The circuit is based on a hyperchaotic dynamic system,showing a large catalog of structures,four different secret parameters,and producing four high entropy voltage signals.Synchronization schemes for the correct secret key calculation and distribution among all remote communicating modules are also analyzed and discussed.Security risks and intruder and attacker models for the proposed solution are explored,too.An experimental validation based on circuit simulations and a real hardware implementation is provided.The results show that the random properties of PRNG improved by up to 11%when seeds were calculated through the proposed circuit.
