[ "张兴兰(1970-),女,山西吕梁人,博士,北京工业大学教授,主要研究方向为密码学和安全协议。" ]
[ "刘祥(1990-),男,河南焦作人,北京工业大学硕士生,主要研究方向密码学和外包计算。" ]
网络首发:2017-06,
纸质出版:2017-06-15
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张兴兰, 刘祥. 安全高效的可验证大型线性方程组求解外包计算方案[J]. 网络与信息安全学报, 2017,3(6):1-7.
Xing-lan ZHANG, Xiang LIU. Secure efficient and verifiable large linear equations solve outsourcing computing scheme[J]. Chinese Journal of Network and Information Security, 2017, 3(6): 1-7.
张兴兰, 刘祥. 安全高效的可验证大型线性方程组求解外包计算方案[J]. 网络与信息安全学报, 2017,3(6):1-7. DOI: 10.11959/j.issn.2096-109x.2017.00161.
Xing-lan ZHANG, Xiang LIU. Secure efficient and verifiable large linear equations solve outsourcing computing scheme[J]. Chinese Journal of Network and Information Security, 2017, 3(6): 1-7. DOI: 10.11959/j.issn.2096-109x.2017.00161.
针对目前大型线性方程组求解在外包计算中遇到的用户信息泄露、计算结果被篡改等问题,提出一种安全高效的可验证外包计算方案。通过随机置换和线性方程组的恒等变换,构造了新的具备相似解的线性方程组,避免了当前数据伪装方案易受求解公因式法攻击的问题,同时提高了客户端的验证效率,降低了空间复杂度。性能分析表明,该方案具有极高的效率。
A secure
efficient and verifiable outsourcing computation scheme was proposed based on the current problems of leaking users information and tampering with the calculating results
which were encountered while solving large-scale linear equations in outsourcing computation.A new linear equation with similarity solutions was constructed based on the constant transformation between random permutation and linear equations.It avoids the problem that the current data camouflage scheme is easily attacked by solving common factor method.It also improves the verification effciency and reduces the complexity of space.The performance analysis shows that the scheme is highly efficient.
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