The authentication codes with arbitration are able to solve dispute between the sender and the receiver. The authentication codes with trusted arbitration are called AZ-codes, the authentication codes with distrust ar...The authentication codes with arbitration are able to solve dispute between the sender and the receiver. The authentication codes with trusted arbitration are called AZ-codes, the authentication codes with distrust arbitration are called A3-codes . As an expansion of Az-cOdes , an A3-code is an authentication system which is closer to the reality environment. Therefore, A3-codes have more extensive application value. In this paper, we construct a class of A3-codes based on polynomials over finite fields, give the parameters of the constructed codes, and calculate a variety of cheating attacks the maximum probabilities of success. Especially, in a special case, the constructed A3-codes are perfect. Compared with a known type of codes, they have almost the same security level, however, our codes need less storage requirements. Therefore, our codes have more advantages.展开更多
信任的缺失是使消费者不愿在线购买的主要原因之一。为提供中国在线购买信任问题一个有效的解决方案,基于对Cheung and Lee(2000)在线购买信任模式局限性的认识,本论文提出一个包括不信任和控制的修正模式并在中国大陆的情境下开展实证...信任的缺失是使消费者不愿在线购买的主要原因之一。为提供中国在线购买信任问题一个有效的解决方案,基于对Cheung and Lee(2000)在线购买信任模式局限性的认识,本论文提出一个包括不信任和控制的修正模式并在中国大陆的情境下开展实证研究。研究结果显示,信任和不信任是两个不同的概念,消费者在线购买信任的产生更多体现在对安全控制的良好认知,而消费者在线购买不信任的产生更多体现在对不隐私控制的认知;安全控制不仅通过信任间接积极地影响购买意图而且对其也有直接强正作用,不隐私控制不仅通过不信任间接地积极影响不购买意图而且对其也有直接强正作用;另外,在线购买信任和不信任等变量在性别、年龄、学历水平、互联网使用时间和已消费的金额方面呈显著差异。这些发现对中国在线运营商具有重要的理论指导意义。展开更多
传统协同过滤算法存在数据稀疏与冷启动问题,社会化推荐算法虽然能在一定程度上缓解这些问题,但大多数的算法都只从单一的角度来衡量信任关系的影响。为了更准确地度量社交关系对推荐预测的影响,提出了一种基于领域信任及不信任的社会...传统协同过滤算法存在数据稀疏与冷启动问题,社会化推荐算法虽然能在一定程度上缓解这些问题,但大多数的算法都只从单一的角度来衡量信任关系的影响。为了更准确地度量社交关系对推荐预测的影响,提出了一种基于领域信任及不信任的社会化奇异值分解(Field Trust and Distrust based Singular Value Decomposition,FTDSVD)推荐算法。该算法在SVD推荐算法的基础上加入了用户的信任关系与不信任关系,利用不信任关系对社交关系进行修正,并且充分考虑用户的信任领域相关性和全局影响力。在Epinions数据集上将FTDSVD算法与相关算法进行了对比,结果证实了该算法在提高推荐质量和缓解冷启动问题上效果显著。展开更多
基金supported by the National Natural Science Foundation of China(61179026)the Fundamental Research Funds for the Central Universities(3122016L005)
文摘The authentication codes with arbitration are able to solve dispute between the sender and the receiver. The authentication codes with trusted arbitration are called AZ-codes, the authentication codes with distrust arbitration are called A3-codes . As an expansion of Az-cOdes , an A3-code is an authentication system which is closer to the reality environment. Therefore, A3-codes have more extensive application value. In this paper, we construct a class of A3-codes based on polynomials over finite fields, give the parameters of the constructed codes, and calculate a variety of cheating attacks the maximum probabilities of success. Especially, in a special case, the constructed A3-codes are perfect. Compared with a known type of codes, they have almost the same security level, however, our codes need less storage requirements. Therefore, our codes have more advantages.
文摘信任的缺失是使消费者不愿在线购买的主要原因之一。为提供中国在线购买信任问题一个有效的解决方案,基于对Cheung and Lee(2000)在线购买信任模式局限性的认识,本论文提出一个包括不信任和控制的修正模式并在中国大陆的情境下开展实证研究。研究结果显示,信任和不信任是两个不同的概念,消费者在线购买信任的产生更多体现在对安全控制的良好认知,而消费者在线购买不信任的产生更多体现在对不隐私控制的认知;安全控制不仅通过信任间接积极地影响购买意图而且对其也有直接强正作用,不隐私控制不仅通过不信任间接地积极影响不购买意图而且对其也有直接强正作用;另外,在线购买信任和不信任等变量在性别、年龄、学历水平、互联网使用时间和已消费的金额方面呈显著差异。这些发现对中国在线运营商具有重要的理论指导意义。
文摘传统协同过滤算法存在数据稀疏与冷启动问题,社会化推荐算法虽然能在一定程度上缓解这些问题,但大多数的算法都只从单一的角度来衡量信任关系的影响。为了更准确地度量社交关系对推荐预测的影响,提出了一种基于领域信任及不信任的社会化奇异值分解(Field Trust and Distrust based Singular Value Decomposition,FTDSVD)推荐算法。该算法在SVD推荐算法的基础上加入了用户的信任关系与不信任关系,利用不信任关系对社交关系进行修正,并且充分考虑用户的信任领域相关性和全局影响力。在Epinions数据集上将FTDSVD算法与相关算法进行了对比,结果证实了该算法在提高推荐质量和缓解冷启动问题上效果显著。
