ID 原文 译文
523 基于椭圆曲线构造了基于密文策略的属性基加密以实现外包数据细粒度访问控制，应用区块链实现可公开验证的安全数据删除。 Firstly, anattribute-based encryption based on ciphertext policy is constructed based on elliptic curves to achieve fine-grained access control. Secondly, publicly verifiable data deletion is realized by using blockchain.
524 该文方案具有责任可追踪性以及两方删除与可验证性等特性。 The proposedscheme has the characteristics of responsibility traceability, two-party deletion and verifiability.
525 理论分析与实验结果表明该文方案具有较好的安全性和较高的性能，能够满足云数据共享与安全删除的需求。 Theoreticalanalysis and experimental results show that the presented scheme has more desirable security and performance,and can meet the needs of cloud data sharing and secure deletion.
526 针对云存储的集中化带来的数据安全和隐私保护问题，该文提出一种区块链上基于云辅助的密文策略属性基(CP-ABE)数据共享加密方案。 To solve the problem of data security and privacy preservation brought by the centralization of cloudstorage, a cloud-assisted Ciphertext Policy Attribute Based Eencryption(CP-ABE) data sharing encryptionscheme based on BlockChain(BC) is proposed.
527 该方案采用基于属性加密技术对加密数据文件的对称密钥进行加密，并上传到云服务器，实现了数据安全以及细粒度访问控制；采用可搜索加密技术对关键字进行加密，并将关键字密文上传到区块链(BC)中，由区块链进行关键字搜索保证了关键字密文的安全，有效地解决现有的云存储共享系统所存在的安全问题。 In this scheme, the symmetric key of the encrypted file isencrypted by attribute-based encryption and the encrypted file is uploaded to cloud server for realizing the datasecurity and fine-grained access control. Searchable encryption technology is adopted to encrypt the keyword,and the keyword ciphertext is uploaded to the BlockChain. Keyword search is executed by the BlockChain toensure the security of keyword ciphertext, which effectively solves the security problems existing in the cloudstorage and sharing system.
528 该方案能够满足选择明文攻击下的不可区分性、陷门不可区分性和抗串联性。 This scheme can satisfy the indiscernibility, trap indiscernibility and seriesresistance under the selective plaintext attack.
529 最后，通过性能评估，验证了该方案的有效性。 Finally, the effectiveness of the scheme is verified byperformance evaluation.
530 针对卫星干扰处理中的多目标定位问题，该文提出基于压缩感知的定位方法。 To cope with the issue of locating multi-target in mitigating satellite interference, a localizationmethod is proposed based on Compressive Sensing (CS).
531 该方法利用目标的空间稀疏性，以及多波束天线在不同信号源方向上的增益不同，仅需要测量接收信号强度便可实现多个干扰的位置识别。 The sources of satellite interference can be identifiedby using Received Signal Strength (RSS) measurement only, relying on the spatial sparsity of the target sourceand the fact that multi-beam antenna has different gain at the position of interference.
532 研究结果表明，定位性能与节点分布、目标个数、波束覆盖半径、判决门限有关。 The conclusions showthat positioning performance is related to node distribution, target number, coverage radius and decisionthreshold.