II. Yeast sequencing reports. Sequence of a segment of yeast chromosome II shows two novel genes,one almost entirely hydrophobic and the other extremely asparagine-serine rich

A 3·2 kb EcoRI fragment of yeast Saccharomyces cerevisiae was entirely sequenced. Two new open reading frames were identified. The first is extremely hydrophobic, and would likely be an integral membrane protein. It has significant similarity to only one reported gene, a gene of unknown function from Drosophila melanogaster. The second ORF is asparagine-rich and very serine-rich, with a remarkable stretch of nearly 26 consecutive asparagine residues comprised of the same codon. It has no significant similarity to any reported gene. The fragment maps to chromosome II on the left arm between the CDC27 and ILS1 loci. The nucleotide sequence reported in this paper has been deposited in the GenBank database with the Accession Number M89908.     

Privacy theory in practice: designing a user interface for managing location privacy on mobile devices

ABSTRACT

Disclosing the current location of a person can seriously affect their privacy, but many apps request location information to provide location-based services. Simultaneously, these apps provide only crude controls for location privacy settings (sharing all or nothing). There is an ongoing discussion about rights of users regarding their location privacy (e.g. in the context of the General Data Protection Regulation – GDPR). GDPR requires data collectors to notify users about data collection and to provide them with opt-out options. To address these requirements, we propose a set of user interface (UI) controls for fine-grained management of location privacy settings based on privacy theory (Westin), privacy by design principles and general UI design principles. The UI notifies users about the state of location data sharing and provides controls for adjusting location sharing preferences. It addresses three key issues: whom to share location with, when to share it, and where to share it. Results of a user study (N=23) indicate that (1) the proposed interface led to a greater sense of control, that (2) it was usable and well received, and that (3) participants were keen on using it in real life. Our findings can inform the development of interfaces to manage location privacy.     

A New Anonymity Model for Privacy-Preserving Data Publishing

Privacy-preserving data publishing （PPDP） is one of the hot issues in the field of the network security. The existing PPDP technique cannot deal with generality attacks, which explicitly contain the sensitivity attack and the similarity attack. This paper proposes a novel model, （w,γ, k）-anonymity, to avoid generality attacks on both cases of numeric and categorical attributes. We show that the optimal （w, γ, k）-anonymity problem is NP-hard and conduct the Top-down Local recoding （TDL） algorithm to implement the model. Our experiments validate the improvement of our model with real data.     

互联网中身份管理应对策略思考

随着Web2.0的出现,互联网进入第三个高速发展阶段,互联网已经成为日常生活中的重要组成部分,同时互联网上的个人隐私泄露与保护问题也日益凸显。因此,建立以身份管理为核心的信息网络基础设施,用于规范个人信息管理,提升政府的监管能力,促进ICT网络的融合与发展。本文从互联网典型身份管理技术方案分析入手,继而分析互联网中身份管理相关问题,提出身份管理作为信息网络重要基础设施的应对策略以及下一步的研究建议。     

征信过程中个人信用信息隐私权的法律保护

征信机构在征集、利用个人信用信息的过程中,由于对个人信息的披露易给个人权益造成损害。如何避免个人隐私受到侵犯,是个人征信建设必须要考虑的问题。文中在分析信用立法较完善国家的经验的基础上,对我国征信过程中个人信用信息隐私权的立法提出建议。     

改进的kNN分类算法在工业物联网中的应用

在工业物联网中,k近邻分类(kNN)被广泛应用于缺陷产品识别和异常检测.但kNN自身存在计算复杂度高、不适用于分布式环境等缺点.因此,文中提出了一种安全有效的分布式kNN分类算法,以防止信息泄漏和控制流泄漏,同时支持分布式服务器上的大规模数据分类.首先设计了一个安全有效的向量同态加密方案.在该方案的基础上,提出了DkN...     

网络中多敏感属性数据发布隐私保护研究

随着网络技术的快速发展,许多社会网站被创建和使用,使得关于个人的社会网络信息大量被收集和发布.为了保证个人隐私的安全,本文提出了一个新的集值属性(k,l)anonymity隐私原则,开发了一个满足这个隐私原则的隐私算法来高效地处理集值属性数据流.并通过实验进行了验证本算法的高效率和有效性.     

社会网络隐私保护中K-同构算法研究

针对社会网络发布图数据面临的隐私泄露问题,提出了一种k-同构隐私保护算法.通过对原始图数据进行有效划分为k个子图,同时为降低匿名成本,增加与删除边数量近似相等,保证发布的图数据是k-同构的,有效阻止了攻击者基于背景知识的结构化攻击.通过真实数据集进行实验,结果表明算法具有高的有效性,能减少信息丢失,提高匿名质量.     

Zone-it before IT zones you: a location-based digital notice board to build community while preserving privacy

The current success of ephemeral communication apps such as Snapchat points to the growing awareness among users about online ‘biographic mining’ through information technology by advertisers, companies and government agencies. Based on the literature, we argue that location-based services (LBS) can be the answer to preserving privacy, on the condition that they target trusted communities of anonymous users and that the communication is transient. The paper describes in three steps the development of an app fulfilling these conditions. From the interdisciplinary exchange between digital anthropologists, GIScientists and ICT engineers resulted Zone-it, a virtual notice board for self-zoning, permitting the user to start location-based interactions under certain categories. We present the results of a user survey that determined the app's functionalities. The functionalities offer a way for LBS to invert the purpose of social media such as Facebook by shifting attention from person-based to goal-oriented communication. The paper discusses why this move away from ‘faces’ to ‘places’ meets the purpose of community-building, rather than jeopardising it.     

双歧杆菌基因组DNA提取及其遗传多态性研究

用自行改良的氯化苄法，从液体培养的双歧杆菌菌中提取基因组DNA，用紫外吸收光谱、琼脂糖凝胶电泳等方法进行鉴定。结果表明，该法提取的基因组DNA分子量高，收获量大，蛋白质污染少，而义快速、高效、经济和实用。以该基因组DNA为模板，用随机引物S256通过AP—PCR扩增出清晰的RAPD谱带，并呈现出一定程度的遗传多态性。讨论了RAPD指纹图谱在双歧杆菌分类鉴定及工业菌株分子标记中潜在的应用价值。