面向移动商务环境的高效自动信任协商算法与协议研究

发布时间：2018-04-03 03:19

本文选题：移动商务　切入点：自动信任协商　出处：《华中师范大学》2016年硕士论文

【摘要】：自动信任协商作为一种跨安全域的陌生实体间建立信任的有效方法,是信任管理领域研究的热点问题之一。而近年来,移动商务的崛起与迅猛发展引起了业界的广泛关注,然而,移动商务安全问题还存在很多理论与实践上的难点,移动环境下的信任协商研究显得尤为重要。本文以此为主线展开了进一步的研究。根据已有的关于信任协商的理论研究,本文首先提出了基于分子序列的协商序列预测算法。分子序列是指历史协商序列片段。在信任协商序列生成阶段,当协商成功时,交易双方建立一条完整的信任协商序列；当协商不成功时,虽然交易双方最终无法生成一条完整的协商序列,但是有可能部分协商信息达成一致,即建立了一条协商序列片段。充分利用这些历史协商序列能够加速信任协商序列的生成。因此分子序列预测的提出旨在加快协商双方信任的建立。移动商务中,消费者决策是否进行某种交易时,根据当前交易与已发生过的某些交易的相似性,将历史协商序列片段进行重组,通过预测直接生成信任协商序列,而无需执行协商策略算法,简化了信任协商过程。若协商序列预测失败,由于分子序列的灵活性,仍可将分子序列预测引入到各种协商策略算法的执行过程中,提高协商策略算法效率。现有的协商协议大多都没有考虑信任证有效性验证的计算开销,基于此本文第四章提出基于交易票据的自动信任协商协议。在传统的协商策略交互过程中,双方根据各自的访问控制策略进行协商,当访问控制策略比较复杂时,协商过程也会很复杂,基于交易票据的自动信任协商协议首先依据交易票据评估对方的信任度,然后根据信任度动态调整访问控制策略进行协商。在信任证交换阶段,协商双方可以根据交易票据和验证权证减少信任证验证次数,从而完成协商过程。
[Abstract]:As an effective method to build trust between unfamiliar entities across security domains, automatic trust negotiation is one of the hot issues in the field of trust management.In recent years, the rise and rapid development of mobile commerce has attracted wide attention of the industry. However, there are still many theoretical and practical difficulties in the security of mobile commerce. The research of trust negotiation in mobile environment is particularly important.This paper takes this as the main line to carry out further research.Based on the existing theoretical research on trust negotiation, this paper first proposes a prediction algorithm based on molecular sequence.A molecular sequence is a segment of a historically negotiated sequence.In the confidence negotiation sequence generation stage, when the negotiation is successful, the transaction parties establish a complete trust negotiation sequence, and when the negotiation is not successful, although the transaction parties are unable to generate a complete negotiation sequence,But it is possible that partial negotiation information is agreed, that is, a negotiation sequence fragment is established.Making full use of these historical negotiation sequences can accelerate the generation of trust negotiation sequences.Therefore, the purpose of molecular sequence prediction is to accelerate the establishment of mutual trust.In mobile commerce, when consumers decide whether to conduct a certain transaction, according to the similarity between the current transaction and some transactions that have occurred, the historical negotiation sequence fragment is reorganized, and the trust negotiation sequence is directly generated by prediction.Without implementing negotiation strategy algorithm, the trust negotiation process is simplified.If the negotiation sequence prediction fails, because of the flexibility of the molecular sequence, the molecular sequence prediction can still be introduced into the execution process of various negotiation strategy algorithms, and the efficiency of the negotiation strategy algorithm can be improved.Most of the existing negotiation protocols do not take into account the computational overhead of the validity verification of trust certificates. Based on this chapter, an automatic trust negotiation protocol based on transaction notes is proposed.In the traditional negotiation policy interaction process, both sides negotiate according to their respective access control policies. When the access control policy is more complex, the negotiation process is also very complex.The automatic trust negotiation protocol based on the transaction note firstly evaluates the trust degree of the other party according to the transaction note, and then dynamically adjusts the access control policy according to the trust degree to negotiate.In the phase of the exchange of trust certificates, the negotiation parties can reduce the number of certificates of trust according to the transaction notes and the verification warrants, so as to complete the negotiation process.
【学位授予单位】：华中师范大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：F224;F830.4

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