With the development of network technology and cloud computing, data sharing is becoming increasingly popular, and many scholars have conducted in-depth research to promote its flourish. As the scale of data sharing e...With the development of network technology and cloud computing, data sharing is becoming increasingly popular, and many scholars have conducted in-depth research to promote its flourish. As the scale of data sharing expands, its privacy protection has become a hot issue in research. Moreover, in data sharing, the data is usually maintained in multiple parties, which brings new challenges to protect the privacy of these multi-party data. In this paper, we propose a trusted data sharing scheme using blockchain. We use blockchain to prevent the shared data from being tampered, and use the Paillier cryptosystem to realize the confidentiality of the shared data. In the proposed scheme, the shared data can be traded, and the transaction information is protected by using the （p, t）-threshold Paillier cryptosystem. We conduct experiments in cloud storage scenarios and the experimental results demonstrate the efficiency and effectiveness of the proposed scheme.展开更多
利用Paillier密码体制的同态和概率特性,提出了一种基于Paillier的同态加密域可逆信息隐藏。首先对原始图像分块,图像所有者随机选择的像素组中有一个参考像素和8个目标像素,将参考像素的最低有效位和目标像素的所有比特通过可逆信息隐...利用Paillier密码体制的同态和概率特性,提出了一种基于Paillier的同态加密域可逆信息隐藏。首先对原始图像分块,图像所有者随机选择的像素组中有一个参考像素和8个目标像素,将参考像素的最低有效位和目标像素的所有比特通过可逆信息隐藏的方法自嵌入到图像的其他部分中,参考像素的最低有效位在加密前置0避免嵌入数据时溢出,加密的参考像素替代像素组中围绕它的目标像素,从而构造出镜像中心密文。在一组镜像中心密文中,数据嵌入者通过同态加法在目标像素的最低有效位嵌入额外信息,而参考像素保持不变。接收者可直接在目标像素和对应的参考像素之间进行模乘法逆元提取额外信息,或者在直接解密后通过明文减法提取额外信息并能无损还原原始图像。实验结果表明:在保证直接解密图像质量的前提下算法平均嵌入率为0.18 bpp (bit per pixel)。展开更多
Data security is a very important part of data transmission over insecure channels connected through high-speed networks. Due to COVID-19, the use of data transmission over insecure channels has increased in an expone...Data security is a very important part of data transmission over insecure channels connected through high-speed networks. Due to COVID-19, the use of data transmission over insecure channels has increased in an exponential manner. Hybrid cryptography provides a better solution than a single type of cryptographical technique. In this paper, nested levels of hybrid cryptographical techniques are investigated with the help of Deoxyribonucleic Acid (DNA) and Paillier cryptographical techniques. In the first level, information will be encrypted by DNA and at the second level, the ciphertext of DNA will be encrypted by Paillier cryptography. At the decryption time, firstly Paillier cryptography will be processed, and then DAN cryptography will be processed to get the original text. The proposed algorithm follows the concept of Last Encryption First Decryption (LEFD) at the time of decryption. The computed results are depicted in terms of tables and graphs.展开更多
A new privacy-preserving algorithm based on the Paillier cryptosystem including a new cooperative control strategy is proposed in this paper, which can resist the false data injection(FDI) attack based on the finite-t...A new privacy-preserving algorithm based on the Paillier cryptosystem including a new cooperative control strategy is proposed in this paper, which can resist the false data injection(FDI) attack based on the finite-time control theory and the data encryption strategy. Compared with the existing algorithms, the proposed privacy-preserving algorithm avoids the direct transmission of the ciphertext of frequency data in communication links while avoiding complex iterations and communications. It builds a secure data transmission environment that can ensure data security in the AC microgrid cyber-physical system(CPS). This algorithm provides effective protection for AC microgrid CPS in different cases of FDI attacks. At the same time, it can completely eliminate the adverse effects caused by the FDI attack. Finally, the effectiveness, security, and advantages of this algorithm are verified in the improved IEEE 34-node test microgrid system with six distributed generators(DGs) in different cases of FDI attacks.展开更多
To solve the problem that the existing ciphertext domain image retrieval system is challenging to balance security,retrieval efficiency,and retrieval accuracy.This research suggests a searchable encryption and deep ha...To solve the problem that the existing ciphertext domain image retrieval system is challenging to balance security,retrieval efficiency,and retrieval accuracy.This research suggests a searchable encryption and deep hashing-based secure image retrieval technique that extracts more expressive image features and constructs a secure,searchable encryption scheme.First,a deep learning framework based on residual network and transfer learn-ing model is designed to extract more representative image deep features.Secondly,the central similarity is used to quantify and construct the deep hash sequence of features.The Paillier homomorphic encryption encrypts the deep hash sequence to build a high-security and low-complexity searchable index.Finally,according to the additive homomorphic property of Paillier homomorphic encryption,a similarity measurement method suitable for com-puting in the retrieval system’s security is ensured by the encrypted domain.The experimental results,which were obtained on Web Image Database from the National University of Singapore(NUS-WIDE),Microsoft Common Objects in Context(MS COCO),and ImageNet data sets,demonstrate the system’s robust security and precise retrieval,the proposed scheme can achieve efficient image retrieval without revealing user privacy.The retrieval accuracy is improved by at least 37%compared to traditional hashing schemes.At the same time,the retrieval time is saved by at least 9.7%compared to the latest deep hashing schemes.展开更多
With the development of Internet technology,secure storage and secure sharing of data have become increasingly important.Traditional data sharing schemes exist a series of problems including lack of security and low e...With the development of Internet technology,secure storage and secure sharing of data have become increasingly important.Traditional data sharing schemes exist a series of problems including lack of security and low efficiency.In this paper,we construct a secure and efficient data sharing scheme based on threshold Paillier algorithm and blockchain technology,which achieves secure data storage and sharing without a third-party institution.Firstly,we propose a(t,l)threshold Paillier blockchain data sharing scheme,which effectively prevents decryption failures caused by the loss of a single node’s private key.Secondly,we propose a combined on-chain and off-chain data storage scheme,we store the ciphertext on the cloud server and the ciphertext hash value on the blockchain,which not only ensures the integrity of the data but also solves the storage limitation problem on the blockchain.Finally,we use the simulation paradigm to prove the security of the scheme in the semi-honest model.The discussion results of the comparison and the analysis of performance show that the blockchain data security sharing scheme proposed in this paper has lower computational overhead and higher security than other similar schemes.展开更多
This research investigates the applications of homomorphic encryption systems in electronic voting schemes. We make use of Paillier cryptosystem which exhibits additive homomorphic properties. The other homomorphic cr...This research investigates the applications of homomorphic encryption systems in electronic voting schemes. We make use of Paillier cryptosystem which exhibits additive homomorphic properties. The other homomorphic cryptosystems RSA and Elgamal are not considered, since they exhibit only multiplicative homomorphic property. Our proposed method increases the level of security when compared to Elgamal method. It is more flexible when compared to previous schemes. We also propose data packing for efficient storage of election data. Finally, we demonstrate the advantages of the homomorphic encryption in voting schemes by comparing with other electronic voting scheme.展开更多
As a kind of cryptocurrency, bitcoin has attracted much attention with its decentralization. However, there is two problems in the bitcoin transactions ： the account security and transaction privacy. In view of the a...As a kind of cryptocurrency, bitcoin has attracted much attention with its decentralization. However, there is two problems in the bitcoin transactions ： the account security and transaction privacy. In view of the above problems, a new partially blind threshold signature scheme is proposed, which can both enhance the security of bitcoin account and preserve the privacy of transaction. Firstly, transaction amounts are encrypted by employing the homomorphic Paillier cryptosystem, and output address is disturbed by using one-time public key. Then the encrypted or disrupted transaction information is signed by multiple participants who are authorized by using threshold secret sharing. Compared with partially blind fuzzy signature scheme, the proposed scheme can fully preserve the transaction privacy. Furthermore, performance analysis shows that the proposed scheme is secure and effective in practical applications.展开更多
As e-commerce applications and the underlying public key infrastructure have become more popular over time,many digital mechanisms emulating traditional business activities have been developed and deployed. To build a...As e-commerce applications and the underlying public key infrastructure have become more popular over time,many digital mechanisms emulating traditional business activities have been developed and deployed. To build a full-fledgedsecure digital world,secure implementations of more commercial activity primitives are required. In this paper,we present asecure proxy signature scheme and its threshold version based on the homomorphic Paillier cryptosystem,which can be used inmany e-commerce applications such as e-voting,e-bidding/auction,and privacy-preserving data mining. These two schemes areexistentially unforgeable against chosen-message attacks and chosen-warrant attacks in the random oracle model. Although it isbased on factoring,the threshold Paillier proxy scheme operates without requiring any trusted dealer or combiner. Thus,these twoschemes are practical for integration in modularized secure multi-party protocols.展开更多
In order to perform multi-dimensional data aggregation operations efficiently in edge computing-based Internet of things(IoT) systems, a new efficient privacy-preserving multi-dimensional data aggregation(EPMDA) schem...In order to perform multi-dimensional data aggregation operations efficiently in edge computing-based Internet of things(IoT) systems, a new efficient privacy-preserving multi-dimensional data aggregation(EPMDA) scheme is proposed in this paper. EPMDA scheme is characterized by employing the homomorphic Paillier encryption and SM9 signature algorithm. To improve the computation efficiency of the Paillier encryption operation, EPMDA scheme generates a pre-computed modular exponentiation table of each dimensional data, and the Paillier encryption operation can be implemented by using only several modular multiplications. For the multi-dimensional data, the scheme concatenates zeros between two adjacent dimensional data to avoid data overflow in the sum operation of ciphertexts. To enhance security, EPMDA scheme sets random number at the high address of the exponent. Moreover, the scheme utilizes SM9 signature scheme to guarantee device authentication and data integrity. The performance evaluation and comparison show that EPMDA scheme is more efficient than the existing multi-dimensional data aggregation schemes.展开更多
文摘With the development of network technology and cloud computing, data sharing is becoming increasingly popular, and many scholars have conducted in-depth research to promote its flourish. As the scale of data sharing expands, its privacy protection has become a hot issue in research. Moreover, in data sharing, the data is usually maintained in multiple parties, which brings new challenges to protect the privacy of these multi-party data. In this paper, we propose a trusted data sharing scheme using blockchain. We use blockchain to prevent the shared data from being tampered, and use the Paillier cryptosystem to realize the confidentiality of the shared data. In the proposed scheme, the shared data can be traded, and the transaction information is protected by using the （p, t）-threshold Paillier cryptosystem. We conduct experiments in cloud storage scenarios and the experimental results demonstrate the efficiency and effectiveness of the proposed scheme.
文摘利用Paillier密码体制的同态和概率特性,提出了一种基于Paillier的同态加密域可逆信息隐藏。首先对原始图像分块,图像所有者随机选择的像素组中有一个参考像素和8个目标像素,将参考像素的最低有效位和目标像素的所有比特通过可逆信息隐藏的方法自嵌入到图像的其他部分中,参考像素的最低有效位在加密前置0避免嵌入数据时溢出,加密的参考像素替代像素组中围绕它的目标像素,从而构造出镜像中心密文。在一组镜像中心密文中,数据嵌入者通过同态加法在目标像素的最低有效位嵌入额外信息,而参考像素保持不变。接收者可直接在目标像素和对应的参考像素之间进行模乘法逆元提取额外信息,或者在直接解密后通过明文减法提取额外信息并能无损还原原始图像。实验结果表明:在保证直接解密图像质量的前提下算法平均嵌入率为0.18 bpp (bit per pixel)。
文摘Data security is a very important part of data transmission over insecure channels connected through high-speed networks. Due to COVID-19, the use of data transmission over insecure channels has increased in an exponential manner. Hybrid cryptography provides a better solution than a single type of cryptographical technique. In this paper, nested levels of hybrid cryptographical techniques are investigated with the help of Deoxyribonucleic Acid (DNA) and Paillier cryptographical techniques. In the first level, information will be encrypted by DNA and at the second level, the ciphertext of DNA will be encrypted by Paillier cryptography. At the decryption time, firstly Paillier cryptography will be processed, and then DAN cryptography will be processed to get the original text. The proposed algorithm follows the concept of Last Encryption First Decryption (LEFD) at the time of decryption. The computed results are depicted in terms of tables and graphs.
基金supported in part by National Key R&D Program of China (No. 2018YFA0702200)in part by National Natural Science Foundation of China (No. 61773099)。
文摘A new privacy-preserving algorithm based on the Paillier cryptosystem including a new cooperative control strategy is proposed in this paper, which can resist the false data injection(FDI) attack based on the finite-time control theory and the data encryption strategy. Compared with the existing algorithms, the proposed privacy-preserving algorithm avoids the direct transmission of the ciphertext of frequency data in communication links while avoiding complex iterations and communications. It builds a secure data transmission environment that can ensure data security in the AC microgrid cyber-physical system(CPS). This algorithm provides effective protection for AC microgrid CPS in different cases of FDI attacks. At the same time, it can completely eliminate the adverse effects caused by the FDI attack. Finally, the effectiveness, security, and advantages of this algorithm are verified in the improved IEEE 34-node test microgrid system with six distributed generators(DGs) in different cases of FDI attacks.
基金supported by the National Natural Science Foundation of China(No.61862041).
文摘To solve the problem that the existing ciphertext domain image retrieval system is challenging to balance security,retrieval efficiency,and retrieval accuracy.This research suggests a searchable encryption and deep hashing-based secure image retrieval technique that extracts more expressive image features and constructs a secure,searchable encryption scheme.First,a deep learning framework based on residual network and transfer learn-ing model is designed to extract more representative image deep features.Secondly,the central similarity is used to quantify and construct the deep hash sequence of features.The Paillier homomorphic encryption encrypts the deep hash sequence to build a high-security and low-complexity searchable index.Finally,according to the additive homomorphic property of Paillier homomorphic encryption,a similarity measurement method suitable for com-puting in the retrieval system’s security is ensured by the encrypted domain.The experimental results,which were obtained on Web Image Database from the National University of Singapore(NUS-WIDE),Microsoft Common Objects in Context(MS COCO),and ImageNet data sets,demonstrate the system’s robust security and precise retrieval,the proposed scheme can achieve efficient image retrieval without revealing user privacy.The retrieval accuracy is improved by at least 37%compared to traditional hashing schemes.At the same time,the retrieval time is saved by at least 9.7%compared to the latest deep hashing schemes.
基金supported by the Defense Industrial Technology Development Program(JCKY2021208B036).
文摘With the development of Internet technology,secure storage and secure sharing of data have become increasingly important.Traditional data sharing schemes exist a series of problems including lack of security and low efficiency.In this paper,we construct a secure and efficient data sharing scheme based on threshold Paillier algorithm and blockchain technology,which achieves secure data storage and sharing without a third-party institution.Firstly,we propose a(t,l)threshold Paillier blockchain data sharing scheme,which effectively prevents decryption failures caused by the loss of a single node’s private key.Secondly,we propose a combined on-chain and off-chain data storage scheme,we store the ciphertext on the cloud server and the ciphertext hash value on the blockchain,which not only ensures the integrity of the data but also solves the storage limitation problem on the blockchain.Finally,we use the simulation paradigm to prove the security of the scheme in the semi-honest model.The discussion results of the comparison and the analysis of performance show that the blockchain data security sharing scheme proposed in this paper has lower computational overhead and higher security than other similar schemes.
文摘This research investigates the applications of homomorphic encryption systems in electronic voting schemes. We make use of Paillier cryptosystem which exhibits additive homomorphic properties. The other homomorphic cryptosystems RSA and Elgamal are not considered, since they exhibit only multiplicative homomorphic property. Our proposed method increases the level of security when compared to Elgamal method. It is more flexible when compared to previous schemes. We also propose data packing for efficient storage of election data. Finally, we demonstrate the advantages of the homomorphic encryption in voting schemes by comparing with other electronic voting scheme.
基金supported by the National Key R&D Program of China(2017YFB0802000)the National Natural Science Foundation of China(61472470,61807026)the Scientific Research Plan Project of Education Department of Shaanxi Province(17JK0362)
文摘As a kind of cryptocurrency, bitcoin has attracted much attention with its decentralization. However, there is two problems in the bitcoin transactions ： the account security and transaction privacy. In view of the above problems, a new partially blind threshold signature scheme is proposed, which can both enhance the security of bitcoin account and preserve the privacy of transaction. Firstly, transaction amounts are encrypted by employing the homomorphic Paillier cryptosystem, and output address is disturbed by using one-time public key. Then the encrypted or disrupted transaction information is signed by multiple participants who are authorized by using threshold secret sharing. Compared with partially blind fuzzy signature scheme, the proposed scheme can fully preserve the transaction privacy. Furthermore, performance analysis shows that the proposed scheme is secure and effective in practical applications.
文摘As e-commerce applications and the underlying public key infrastructure have become more popular over time,many digital mechanisms emulating traditional business activities have been developed and deployed. To build a full-fledgedsecure digital world,secure implementations of more commercial activity primitives are required. In this paper,we present asecure proxy signature scheme and its threshold version based on the homomorphic Paillier cryptosystem,which can be used inmany e-commerce applications such as e-voting,e-bidding/auction,and privacy-preserving data mining. These two schemes areexistentially unforgeable against chosen-message attacks and chosen-warrant attacks in the random oracle model. Although it isbased on factoring,the threshold Paillier proxy scheme operates without requiring any trusted dealer or combiner. Thus,these twoschemes are practical for integration in modularized secure multi-party protocols.
基金supported by the Key Research and Development Program of Shandong Province (the Major Scientific and Technological Innovation Project of Shandong Province)(2020CXGC010114)。
文摘In order to perform multi-dimensional data aggregation operations efficiently in edge computing-based Internet of things(IoT) systems, a new efficient privacy-preserving multi-dimensional data aggregation(EPMDA) scheme is proposed in this paper. EPMDA scheme is characterized by employing the homomorphic Paillier encryption and SM9 signature algorithm. To improve the computation efficiency of the Paillier encryption operation, EPMDA scheme generates a pre-computed modular exponentiation table of each dimensional data, and the Paillier encryption operation can be implemented by using only several modular multiplications. For the multi-dimensional data, the scheme concatenates zeros between two adjacent dimensional data to avoid data overflow in the sum operation of ciphertexts. To enhance security, EPMDA scheme sets random number at the high address of the exponent. Moreover, the scheme utilizes SM9 signature scheme to guarantee device authentication and data integrity. The performance evaluation and comparison show that EPMDA scheme is more efficient than the existing multi-dimensional data aggregation schemes.
