信息服务的发展已经广泛渗透到人们生活的各个方面,各种新型服务模式及应用给人们带来便利的同时无形中泄露了隐私信息,且应用软件的激增和用户需求的多样化给隐私保护带来了更大挑战。结合国内外相关最新研究趋势,对移动网络中与场景关联的隐私保护问题进行了研究展望。首先介绍了移动网络中场景关联的隐私保护应用场景、服务模型、攻击模型,以及所面临的隐私威胁;其次介绍了背景信息、服务质量和资源消耗关联的隐私保护研究现状;最后提出了背景信息建模与描述、多源背景信息融合方法、移动网络服务中的服务质量描述与建模、基于历史信息的自适应方法、隐私保护中的资源消耗优化算法和多因素均衡的隐私保护机制等研究方向。
The well-developed information services has infiltrated in each part of our daily life, various novel service modes and applications provide us conveniences at the cost of our privacy. This situation becomes more serious with the increasing number of applications and users' requirements. The privacy issues of scenario-based mechanism in mobile networks have been studied based on analyzing the state-of-the-art research trends. The threat and challenges of privacy disclosure caused by the mobile network services, and review the scenarios, service models and attack models were introduced firstly. Followed, a comprehensive study on current status of background information, quality of services, and resource-restricted related privacy preservation were made. Finally, some key technologies on privacy preservation such as background information modeling and descripting, multi-background information fusion, quality of services descripting and modeling, self-adaptive methods based on historical information, privacy-preserving solutions optimizing energy resources and privacy-preserving schemes equalizing multiple factors etc were posted.