A novel encryption model is proposed. It combines encryption process with compression process, and realizes compression and encryption at the same time. The model＇s feasibility and security are analyzed in detail. An...A novel encryption model is proposed. It combines encryption process with compression process, and realizes compression and encryption at the same time. The model＇s feasibility and security are analyzed in detail. And the relationship between its security and compression ratio is also analyzed.展开更多
The interrupted-sampling repeater jamming(ISRJ)can cause false targets to the radio-frequency proximity sensors(RFPSs),resulting in a serious decline in the target detection capability of the RFPS.This article propose...The interrupted-sampling repeater jamming(ISRJ)can cause false targets to the radio-frequency proximity sensors(RFPSs),resulting in a serious decline in the target detection capability of the RFPS.This article proposes a recognition method for RFPSs to identify the false targets caused by ISRJ.The proposed method is realized by assigning a unique identity(ID)to each RFPS,and each ID is a periodically and chaotically encrypted in every pulse period.The processing technique of the received signal is divided into ranging and ID decryption.In the ranging part,a high-resolution range profile(HRRP)can be obtained by performing pulse compression with the binary chaotic sequences.To suppress the noise,the singular value decomposition(SVD)is applied in the preprocessing.Regarding ID decryption,targets and ISRJ can be recognized through the encryption and decryption processes,which are controlled by random keys.An adaptability analysis conducted in terms of the peak-to-side lobe ratio(PSLR)and bit error rate(BER)indicates that the proposed method performs well within a 70-k Hz Doppler shift.A simulation and experimental results show that the proposed method achieves extremely stable target and ISRJ recognition accuracies at different signal-to-noise ratios(SNRs)and jamming-to-signal ratios(JSRs).展开更多
云辅助医疗物联网系统是智慧医疗领域发展的新趋势,患者隐私数据通常以密态的形式外包存储于云端,这将导致数据拥有者失去对自身数据的控制权限,并带来数据检索不便.针对上述问题,本文提出了一种支持策略隐藏的可搜索属性加密方案,结合...云辅助医疗物联网系统是智慧医疗领域发展的新趋势,患者隐私数据通常以密态的形式外包存储于云端,这将导致数据拥有者失去对自身数据的控制权限,并带来数据检索不便.针对上述问题,本文提出了一种支持策略隐藏的可搜索属性加密方案,结合密文策略属性加密与公钥可搜索加密的优势,确保云辅助(cloud-assisted Internet of Medical Things,IoMT)系统中共享数据的机密性,实现了敏感数据的细粒度访问控制并支持关键字搜索.并且,利用在线/离线加密和外包解密等方法降低了资源受限设备的计算开销,使得密文策略的属性加密方案可以在云辅助IoMT系统中实施.同时,引入策略隐藏技术,将属性加密访问策略中的属性值隐藏于密文中,防止数据拥有者的隐私泄露.在安全性方面,证明本方案的密文信息在选定访问结构和选择明文攻击下具有不可区分性,以及陷门信息在选择关键字攻击下具有不可区分性.最后,利用JPBC(Javapairing-based cryptography)密码库对本方案与其他相关方案在功能特性、通信开销和计算开销等方面进行对比,结果表明本方案在密钥生成和加密阶段计算效率更高且存储开销更低.展开更多
自适应最高有效位预测(adaptive most significant bit prediction,AMP)是当前实现加密域可逆信息隐藏的一种重要算法。通过比较分块内首像素与其余像素,提取出公共最高有效位并用于像素预测,可节省空间嵌入秘密信息。然而,分块内首像...自适应最高有效位预测(adaptive most significant bit prediction,AMP)是当前实现加密域可逆信息隐藏的一种重要算法。通过比较分块内首像素与其余像素,提取出公共最高有效位并用于像素预测,可节省空间嵌入秘密信息。然而,分块内首像素与其他像素差异较大,会制约嵌入容量。为解决这个问题,本文将分块内嵌入数据时没有变化的像素聚集,构建为虚拟像素块。通过对虚拟像素块再次执行AMP算法,实现对当前方案嵌入容量的提升。为进一步增加虚拟像素块的数量,本文提出一种填充策略。以22的像素块为例,在分块嵌入容量足够大时,通过填充固定比特位增加像素相关性,使得嵌入过程中前两个像素保持不变,这样全部可用来构建虚拟块。因为填充策略构建T字段并提出新的32 bits像素结构,该结构能够提升像素相关性从而提升嵌入容量。通过在真实世界数据集上开展实验,结果表明本文所提算法相比当前的主流AMP算法,能够在保证可逆的前提下大幅提高嵌入容量。展开更多
基金supported by the National Natural Science Foundation of China(60903197)the Major State Basic Research Development Program of China(2007CB310800)+1 种基金the Major Research Plan of the National Natural Science Foundation of China (90718006)the Foundation of Key Laboratory of Aerospace Information Security and Trust Computing Ministry of Education.
文摘A novel encryption model is proposed. It combines encryption process with compression process, and realizes compression and encryption at the same time. The model＇s feasibility and security are analyzed in detail. And the relationship between its security and compression ratio is also analyzed.
基金supported by the National Natural Science Foundation of China(Grant No.61973037)and(Grant No.61871414)Postdoctoral Fundation of China(Grant No.2022M720419)。
文摘The interrupted-sampling repeater jamming(ISRJ)can cause false targets to the radio-frequency proximity sensors(RFPSs),resulting in a serious decline in the target detection capability of the RFPS.This article proposes a recognition method for RFPSs to identify the false targets caused by ISRJ.The proposed method is realized by assigning a unique identity(ID)to each RFPS,and each ID is a periodically and chaotically encrypted in every pulse period.The processing technique of the received signal is divided into ranging and ID decryption.In the ranging part,a high-resolution range profile(HRRP)can be obtained by performing pulse compression with the binary chaotic sequences.To suppress the noise,the singular value decomposition(SVD)is applied in the preprocessing.Regarding ID decryption,targets and ISRJ can be recognized through the encryption and decryption processes,which are controlled by random keys.An adaptability analysis conducted in terms of the peak-to-side lobe ratio(PSLR)and bit error rate(BER)indicates that the proposed method performs well within a 70-k Hz Doppler shift.A simulation and experimental results show that the proposed method achieves extremely stable target and ISRJ recognition accuracies at different signal-to-noise ratios(SNRs)and jamming-to-signal ratios(JSRs).
文摘云辅助医疗物联网系统是智慧医疗领域发展的新趋势,患者隐私数据通常以密态的形式外包存储于云端,这将导致数据拥有者失去对自身数据的控制权限,并带来数据检索不便.针对上述问题,本文提出了一种支持策略隐藏的可搜索属性加密方案,结合密文策略属性加密与公钥可搜索加密的优势,确保云辅助(cloud-assisted Internet of Medical Things,IoMT)系统中共享数据的机密性,实现了敏感数据的细粒度访问控制并支持关键字搜索.并且,利用在线/离线加密和外包解密等方法降低了资源受限设备的计算开销,使得密文策略的属性加密方案可以在云辅助IoMT系统中实施.同时,引入策略隐藏技术,将属性加密访问策略中的属性值隐藏于密文中,防止数据拥有者的隐私泄露.在安全性方面,证明本方案的密文信息在选定访问结构和选择明文攻击下具有不可区分性,以及陷门信息在选择关键字攻击下具有不可区分性.最后,利用JPBC(Javapairing-based cryptography)密码库对本方案与其他相关方案在功能特性、通信开销和计算开销等方面进行对比,结果表明本方案在密钥生成和加密阶段计算效率更高且存储开销更低.
文摘自适应最高有效位预测(adaptive most significant bit prediction,AMP)是当前实现加密域可逆信息隐藏的一种重要算法。通过比较分块内首像素与其余像素,提取出公共最高有效位并用于像素预测,可节省空间嵌入秘密信息。然而,分块内首像素与其他像素差异较大,会制约嵌入容量。为解决这个问题,本文将分块内嵌入数据时没有变化的像素聚集,构建为虚拟像素块。通过对虚拟像素块再次执行AMP算法,实现对当前方案嵌入容量的提升。为进一步增加虚拟像素块的数量,本文提出一种填充策略。以22的像素块为例,在分块嵌入容量足够大时,通过填充固定比特位增加像素相关性,使得嵌入过程中前两个像素保持不变,这样全部可用来构建虚拟块。因为填充策略构建T字段并提出新的32 bits像素结构,该结构能够提升像素相关性从而提升嵌入容量。通过在真实世界数据集上开展实验,结果表明本文所提算法相比当前的主流AMP算法,能够在保证可逆的前提下大幅提高嵌入容量。
