分布式数据存储中的机密性保护

结合对称加密技术和门限加密技术,提出了一种适用于分布式数据存储需要的有效的系统机密性保护方案,其中对称加密技术用于对所存储的文件进行加密,分布式门限加密技术则对对称加密方案中所用的密钥进行保护,可在不带来密钥存储问题情况下满足恶意环境中分布式数据存储系统的机密性要求。     

基于ECC的前向安全数字签名的研究与改进

基于ECC的前向安全数字签名方案，签名中使用了不变量SKi^n^T-i，尽管签名私钥是前向安全性的，但实际上签名不具有前向安全性。该文提出了关联因子的概念，利用关联因子构造了一种新的基于ECC的前向安全数字签名方案，该方案不仅具有前向安全性，还具有较强的抗伪造性，有一定的理论和实用价值。     

基于ECC的定期更新的可验证秘密共享方案

本文提出了一个基于椭圆曲线密码体制（ECC）的、定期更新的可验证的秘密共享方案.该方案具有子秘密定期更新、子秘密可验证和可防欺诈的特点.方案的安全性基于求解有限域上椭圆曲线离散对数问题（ECDLP）的难解性.     

Design of Montgomery Multiplication Architecture Based on Programmable Cellular Automata

This study presents a Montgomery multiplication architecture that uses an irreducible all one polynomial (AOP) in GF(2 ^m ) based on a programmable cellular automata (PCA). The proposed architecture has the advantage of high regularity and a reduced latency based on combining the characteristics of the irreducible AOP and PCA. The proposed architecture can be used to implement modular exponentiation, division, and inversion architectures.     

NTRU算法的分析

介绍了一种新的公开密钥体制NTRU算法,NTRU算法的安全性是基于数论中在一个非常大的维效格中寻找一个很短向量的数学难 题。NTRU算法与RSA等算法相比具有更高的运算速度,更快的密钥生成速度和更少的存储空间,尽管在安全性方面与RSA相比有一些缺陷, 但也有弥补的方法,因此NTRU算法将会有更广阔的应用前景。     

EEPPDA—Edge-enabled efficient privacy-preserving data aggregation in smart healthcare Internet of Things network

The Internet of Things-based smart healthcare provides numerous facilities to patients and medical professionals. Medical professionals can monitor the patient's real-time medical data and diagnose diseases through the medical health history stored in the cloud database. Any kind of attack on the cloud database will result in misdiagnosis of the patients by medical professionals. Therefore, it becomes a primary concern to secure private data. On the other hand, the conventional data aggregation method for smart healthcare acquires immense communication and computational cost. Edge-enabled smart healthcare can overcome these limitations. The paper proposes an edge-enabled efficient privacy-preserving data aggregation (EEPPDA) scheme to secure health data. In the EEPPDA scheme, captured medical data have been encrypted by the Paillier homomorphic cryptosystem. Homomorphic encryption is engaged in the assurance of secure communication. For data transmission from patients to the cloud server (CS), data aggregation is performed on the edge server (ES). Then aggregated ciphertext data are transmitted to the CS. The CS validates the data integrity and analyzes and processes the authenticated aggregated data. The authorized medical professional executes the decryption, then the aggregated ciphertext data are decrypted in plaintext. EEPPDA utilizes the batch verification process to reduce communication costs. Our proposed scheme maintains the privacy of the patient's identity and medical data, resists any internal and external attacks, and verifies the health data integrity in the CS. The proposed scheme has significantly minimized computational complexity and communication overhead concerning the existing approach through extensive simulation.     

基于同态加密的智能电表数据聚合方案

针对多个智能电表实时采集数据聚合上传过程中所存在的用户隐私泄露和计算效率不高的问题,提出了一个基于同态加密的智能电表数据聚合方案。该聚合方案使得多个智能电表数据能够聚合传输至电力系统,而电力系统却无法得到单个智能电表的用电数据。仿真结果表明,该方案在智能电表侧和聚合器侧均可有效降低计算成本和通信成本。     

基于Niederreiter密码体制的抗量子签密方案

针对后量子时代的网络通信安全问题,对编码密码中的Niederreiter密码体制进行研究,将基于改进Niederreiter密码的双公钥加密方案与Xinmei签名方案相结合,构造一种抗量子签密方案。安全性分析结果表明,该方案能够满足IND-CPA与EUF-CMA安全,并可实现对直接译码攻击以及ISD攻击的良好防御,相比先签名后加密的签密方法,其密文量下降50%,能够为后量子时代用户的网络通信提供机密性与不可伪造性的安全防护。     

基于PUF的低开销物联网安全通信方案

将物理不可克隆函数（Physical Unclonable Function,PUF）与椭圆曲线上的无证书公钥密码体制相结合,提出一种面向物联网的安全通信方案,在节点设备不存储任何秘密参数的情况下,实现设备间消息的安全传递.方案无需使用高计算复杂度的双线性对运算,并提供了消息认证机制.安全性分析表明,该方案不仅能够抵抗窃听、篡改、重放等传统攻击,而且可以有效防范节点设备可能遭到的复制攻击.对比结果显示,相较于同类方案,该方案明显降低了设备的资源开销.     

User centric three‐factor authentication protocol for cloud‐assisted wearable devices

Wearable devices, which provide the services of collecting personal data, monitoring health conditions, and so on, are widely used in many fields, ranging from sports to healthcare. Although wearable devices bring convenience to people's lives, they bring about significant security concerns, such as personal privacy disclosure and unauthorized access to wearable devices. To ensure the privacy and security of the sensitive data, it is critical to design an efficient authentication protocol suitable for wearable devices. Recently, Das et al proposed a lightweight authentication protocol, which achieves secure communication between the wearable device and the mobile terminal. However, we find that their protocol is vulnerable to offline password guessing attack and desynchronization attack. Therefore, we put forward a user centric three‐factor authentication scheme for wearable devices assisted by cloud server. Informal security analysis and formal analysis using ProVerif is executed to demonstrate that our protocol not only remedies the flaws of the protocol of Das et al but also meets desired security properties. Comparison with related schemes shows that our protocol satisfies security and usability simultaneously.