检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

1,491 篇 会议
26 册 图书
6 篇 期刊文献

馆藏范围

1,523 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,148 篇 工学
- 1,073 篇 计算机科学与技术...
- 569 篇 软件工程
- 311 篇 信息与通信工程
- 139 篇 电气工程
- 118 篇 控制科学与工程
- 66 篇 安全科学与工程
- 44 篇 电子科学与技术（可...
- 44 篇 网络空间安全
- 41 篇 动力工程及工程热...
- 38 篇 生物医学工程（可授...
- 34 篇 生物工程
- 33 篇 机械工程
- 29 篇 建筑学
- 28 篇 交通运输工程
- 24 篇 仪器科学与技术
- 20 篇 环境科学与工程（可...
237 篇 理学
- 168 篇 数学
- 42 篇 生物学
- 28 篇 物理学
- 22 篇 统计学（可授理学、...
- 21 篇 系统科学
219 篇 管理学
- 145 篇 管理科学与工程(可...
- 84 篇 图书情报与档案管...
- 70 篇 工商管理
74 篇 法学
- 44 篇 社会学
- 31 篇 法学
62 篇 医学
- 50 篇 临床医学
- 47 篇 基础医学(可授医学...
- 40 篇 公共卫生与预防医...
25 篇 经济学
- 25 篇 应用经济学
15 篇 教育学
7 篇 军事学
5 篇 农学
2 篇 文学

主题

147 篇 privacy
110 篇 security
76 篇 data privacy
68 篇 blockchain
46 篇 internet of thin...
38 篇 differential pri...
38 篇 machine learning
36 篇 network security
36 篇 cryptography
33 篇 cloud computing
32 篇 authentication
29 篇 access control
27 篇 big data
25 篇 data security
24 篇 sensitive data
23 篇 deep learning
22 篇 data mining
22 篇 federated learni...
21 篇 artificial intel...
19 篇 iot

机构

6 篇 north carolina s...
6 篇 rhein westfal th...
5 篇 carnegie mellon ...
5 篇 school of cyber ...
4 篇 nanjing audit un...
4 篇 stevens inst tec...
4 篇 univ michigan an...
4 篇 fraunhofer aisec...
4 篇 univ texas dalla...
4 篇 institute of inf...
4 篇 chinese acad sci...
3 篇 singapore inst t...
3 篇 chinese acad sci...
3 篇 university of mi...
3 篇 umass boston bos...
3 篇 east china norma...
3 篇 the first resear...
3 篇 beijing univ pos...
3 篇 university of el...
3 篇 carnegie mellon ...

作者

9 篇 bertino elisa
6 篇 enck william
6 篇 ghinita gabriel
6 篇 sandhu ravi
5 篇 meyer ulrike
5 篇 kantarcioglu mur...
4 篇 conti mauro
4 篇 felber pascal
4 篇 mehrotra sharad
4 篇 li lei
3 篇 gupta maanak
3 篇 jianying zhou
3 篇 zhang lei
3 篇 lee adam j.
3 篇 li jin
3 篇 balachandran viv...
3 篇 patwa farhan
3 篇 xiong gang
3 篇 saxena nitesh
3 篇 sallam asmaa

语言

1,307 篇 英文
214 篇 其他
9 篇 中文

检索条件"任意字段=Proceedings of the 5th ACM Conference on Data and Application Security and Privacy"

共 1523 条记录，以下是821-830 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Attribute Compartmentation and Greedy UCC Discovery for High-Dimensional data Anonymisation 19

Attribute Compartmentation and Greedy UCC Discovery for High...

引用

9th acm conference on data and application security and privacy (CODASPY)

作者： Podlesny, Nikolai J. Kayem, Anne V. D. M. Meinel, Christoph Univ Potsdam Hasso Plattner Inst Potsdam Germany

ISBN: (纸本)9781450360999

High-dimensional data is particularly useful for data analytics research. In the healthcare domain, for instance, high-dimensional data analytics has been used successfully for drug discovery. Yet, in order to adhere to privacy legislation, data analytics service providers must guarantee anonymity for data owners. In the context of high-dimensional data, ensuring privacy is challenging because increased data dimensionality must be matched by an exponential growth in the size of the data to avoid sparse datasets. Syntactically, anonymising sparse datasets with methods that rely of statistical significance, makes obtaining sound and reliable results, a challenge. As such, strong privacy is only achievable at the cost of high information loss, rendering the data unusable for data analytics. In this paper, we make two contributions to addressing this problem from both the privacy and information loss perspectives. First, we show that by identifying dependencies between attribute subsets we can eliminate privacy violating attributes from the anonymised dataset. Second, to minimise information loss, we employ a greedy search algorithm to determine and eliminate maximal partial unique attribute combinations. thus, one only needs to find the minimal set of identifying attributes to prevent re-identification. Experiments on a health cloud based on the SAP HANA platform using a semi-synthetic medical history dataset comprised of 109 attributes, demonstrate the effectiveness of our approach.

关键词： attribute compartmentation data profiling anonymisation data privacy

来源：评论

学校读者我要写书评

暂无评论

Behind Enemy Lines: Exploring Trusted data Stream Processing on Untrusted Systems 19

Behind Enemy Lines: Exploring Trusted Data Stream Processing...

引用

9th acm conference on data and application security and privacy (CODASPY)

作者： thoma, Cory Lee, Adam J. Labrinidis, Alexandros Univ Pittsburgh Pittsburgh PA 15260 USA

ISBN: (纸本)9781450360999

data Stream Processing Systems (DSPSs) execute long-running, continuous queries over transient streaming data, often making use of outsourced, third-party computational platforms. However, third-party outsourcing can lead to unwanted violations of data providers' access controls or privacy policies, as data potentially flows through untrusted infrastructure. To address these types of violations, data providers can elect to use stream processing techniques based upon computation-enabling encryption. Unfortunately, this class of solutions can leak information about underlying plaintext values, reduce the possible set of queries that can be executed, and come with detrimental performance overheads. To alleviate the concerns with cryptographically-enforced access controls in DSPSs, we have developed Sanctuary, a DSPS that makes use of Intel's Software Guard Extensions (SGX) to protect data being processed on untrusted infrastructure. We show that Sanctuary can execute arbitrary queries while leaking no more information than an idealized Trusted Infrastructure system. At the same time, an extensive evaluation shows that the overheads associated with stream processing in Sanctuary are comparable to its computation-enabling encryption counterparts for many queries.

关键词： data streaming privacy access controls intel sgx

来源：评论

学校读者我要写书评

暂无评论

Session details: Session 5: Mobile security 20

Session details: Session 5: Mobile Security

引用

proceedings of the Tenth acm conference on data and application security and privacy

作者： Phani Vadrevu University of New Orleans

No abstract available.

ISBN: (纸本)9781450371070

No abstract available.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A General Framework for Decentralized Combinatorial Testing of Access Control Engine: Examples of application 1

引用

5th International conference on Information Systems security and privacy, ICISSP 2019

作者： Daoudagh, Said Lonetti, Francesca Marchetti, Eda Istituto di Scienza e Tecnologie dell’Informazione "Alessandro Faedo" CNR Pisa Italy University of Pisa Pisa Italy

ISBN: (数字)9783030494438

ISBN: (纸本)9783030494421

Access control mechanisms aim to assure data protection in modern software systems. Testing of such mechanisms is a key activity to avoid security flaws and violations inside the systems or applications. In this paper, we introduce the general architecture of a new decentralized framework for testing of XacmL-based access control engines. the proposed framework is composed of different web services and can be instantiated for different testing purposes: i) generation of test cases based on combinatorial testing strategies;ii) distributed test cases execution;iii) decentralized oracle derivation able to associate the expected authorization decision to a given XacmL request. the effectiveness of the framework has been proven into two different experiments. the former addressed the evaluation of the distributed vs non distributed testing solution. the latter focused on the performance comparison of two distributed oracle approaches. © 2020, Springer Nature Switzerland AG.

关键词： Web services

来源：评论

学校读者我要写书评

暂无评论

Vulnerabilities in IoT Devices for Smart Home Environment 5th

Vulnerabilities in IoT Devices for Smart Home Environment

引用

5th International conference on Information Systems security and privacy (ICISSP)

作者： Costa, Luis Barros, Joao Paulo Tavares, Miguel Inst Politecn Beja Beja Portugal Ctr Technol & Syst CTS UNINOVA Lisbon Portugal Inst Engn Sistemas & Comp Invest & Desenvolviment Lisbon Portugal

ISBN: (纸本)9789897583599

Recently, consumers have seen multiple products being advertised as smart home. these products promise to make our homes more comfortable, safe, automated, and remotely controlled. To this new reality of processing information it was given the name IoT (Internet of things). Many news headlines have been published exposing serious security vulnerabilities in many IoT devices, with some of them being exploited to make one of the largest DDoS attacks recorded. In this paper we present a method developed with the purpose of identifying high risk vulnerabilities in smart home IoT devices, giving application examples of actual vulnerabilities found in two commercially available devices. this method uses several open source tools to identify vulnerabilities in some of these IoT devices. Besides, we will also present some topics related to the main threats and vulnerabilities that affect smart home IoT devices.

关键词： Internet of things Smart Home IoT IoT security Information security IoT Vulnerabilities

来源：评论

学校读者我要写书评

暂无评论

15th International conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2019, co-located with the 5th International conference on Harmony Search, Soft Computing and applications, ICHSA 2019

15th International Conference on Natural Computation, Fuzzy ...

引用

15th International conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2019, co-located with the 5th International conference on Harmony Search, Soft Computing and applications, ICHSA 2019

ISBN: (纸本)9783030325909

the proceedings contain 227 papers. the special focus in this conference is on Natural Computation, Fuzzy Systems and Knowledge Discovery. the topics include: New Passive Collision Force Suppression Mechanism for Human-Friendly Robot;User Behavior Tracking for Education Assisting System by Using an RGB-D Sensor;Distributed Network data security Protection for SG-eIoT;Resource Bottleneck Analysis of the Blockchain Based on Tron’s TPS;ontology-Based Computing of Sentence Similarity;arm Model and Puncture Training System in Hemodialysis;Construction of the HMM Intelligent Recommendation Model and Its application in the Film Ticketing System;research on Web Service Clustering Method Based on Word Embedding and Topic Model;an Adaptive Multi-sensor data Consistency Algorithm Based on Node Credibility;analysis of Big data of an Online Community Based on Artificial Intelligence;clustering Optimization and Evaluation of Campus Network User Behavior Analysis System;Analysis and Solution of RFID Tag Information Based on security Technology;multicriteria Decision-Making Problems Under Uncertainty and their Solution;the Strategy of Constructing an Interdisciplinary Knowledge Center;retinal Image Segmentation Based on Texture Features;a Method of Intention Discovery Based on Scientific Collaboration Information;contextual Analysis of Transactional data;estimation of Soil Organic Matter Content Based on Regional Feature Bands;Detection and Analysis of Surface Characteristics of Debris Flow Gully Landslide Based on TLS Technology;A Feature-Based Hybrid Medical Image Watermarking Algorithm Based on SURF-DCT;practice of Document Information Knowledge Service Oriented to Metrology Research Innovation;minkowski Metric Based Soft Subspace Clustering with Different Minkowski Exponent and Feature Weight Exponent;comparative Studies of Robot Navigation.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Conditional privacy: Users' Perception of data privacy in Autonomous Driving 5

Conditional Privacy: Users' Perception of Data Privacy in Au...

引用

5th International conference on Vehicle Technology and Intelligent Transport Systems (VEHITS)

作者： Brell, Teresa Biermann, Hannah Philipsen, Ralf Ziefle, Martina Rhein Westfal TH Aachen Human Comp Interact Ctr Campus Blvd 57 D-52074 Aachen Germany

ISBN: (纸本)9789897583742

Connected autonomous driving can be a key for safety enhancement in road traffic and long-term reduction of driver-induced accidents with personal injury. though, its acceptance is challenging, because of perceived restrictions on data security and privacy concerns. Hence, in this study, the focus was on users' perception of data privacy in autonomous and connected driving. For this purpose, a two-tiered research approach was conducted, based on semi-structured interviews (N=7) and an online questionnaire (N=100). Special attention was given to data storage and processing, data distribution, as well as personal usage purposes as predictors for the use intention. Results showed that the driver was most likely accepted as data decision maker, whereas the own car was preferred as data receiver. Besides, evaluation profiles indicated user diverse attitudes concerning the willingness to use autonomous driving regularly. these study outcomes contribute to a deeper understanding of user requirements in the context of mobility acceptance.

关键词： Mobility Acceptance Autonomous Driving privacy User Diversity data security

来源：评论

学校读者我要写书评

暂无评论

Probabilistic Graphical Model on Detecting Insiders: Modeling with SGD-HMM 5th

Probabilistic Graphical Model on Detecting Insiders: Modelin...

引用

5th International conference on Information Systems security and privacy (ICISSP)

作者： Saaudi, Ahmed Tong, Yan Farkas, Csilla Univ South Carolina Dept Comp Sci & Engn 550 Assembly St Columbia SC 29208 USA

ISBN: (纸本)9789897583599

this paper presents a novel approach to detect malicious behaviors in computer systems. We propose the use of varying granularity levels to represent users' log data: Session-based, Day-based, and Week-based. A user's normal behavior is modeled using a Hidden Markov Model. the model is used to detect any deviation from the normal behavior. We also propose a Sliding Window Technique to identify malicious activity effectively by considering the near history of user activity. We evaluated our results using Receiver Operating Characteristic curves (or ROC curves). Our evaluation shows that the results are superior to existing research by improving the detection ability and reducing the false positive rate. Combining sliding window technique with session-based system gives a fast detection performance.

关键词： Insider threat Anomaly Detection System Machine Learning HMM Big data

来源：评论

学校读者我要写书评

暂无评论

Unsupervised euclidean distance attack on network embedding 5

Unsupervised euclidean distance attack on network embedding

引用

5th IEEE International conference on data Science in Cyberspace, DSC 2020

作者： Yu, Shanqing Zheng, Jun Chen, Jinyin Xuan, Qi Zhang, Qingpeng Institute of Cyberspace Security College of Information Engineering Zhejiang University of Technology Hangzhou310023 China City University of Hong Kong Hong Kong

ISBN: (数字)9781728195582

ISBN: (纸本)9781728195582

Considering the wide application of network embedding methods in graph data mining, inspired by adversarial attacks in deep learning, a genetic algorithm-based Euclidean distance attack strategy is proposed to attack the network embedding method, thereby preventing structure information being discovered. EDA focuses on disturbing the Euclidean distance between a pair of nodes in the embedding space as much as possible through minimal modifications of the network structure. Since many downstream network algorithms, such as community detection and node classification, rely on the Euclidean distance between nodes to evaluate their similarity in the embedded space, EDA can be regarded as a general attack on various network algorithms. Different from traditional supervised attack strategies, EDA does not need labeling information, it is an unsupervised network embedding attack method. Experiments on a set of real networks demonstrate that the proposed EDA method can significantly reduce the performance of DeepWalk-based networking algorithms, i.e., community detection and node classification, and its performance is superior to several heuristic attack strategies. © 2020 IEEE.

关键词： Network embeddings

来源：评论

学校读者我要写书评

暂无评论

A Systematic Approach to Choose the data Warehouse Architecture 5th

A Systematic Approach to Choose the Data Warehouse Architect...

引用

5th International conference on Information Systems security and privacy (ICISSP)

作者： Venditti, Antonello Fasano, Fausto Univ Molise Dept Biosci & Terr Pesche Italy

ISBN: (纸本)9789897583599

In the design phase of a data warehouse, an appropriate architecture must be selected. To this aim, the engineer assesses various alternatives, depending on the requirements of the specific context. Usually, he chooses it heuristically, based on his experience. However, it must be considered that there are many parameters to be taken into consideration. In this regard, many security problems are due to poor design, as well as the performance may not be appropriate to the reference context, or the expected costs and implementation times could be exceeded. A method of choosing the architecture based on heuristics does not always require a prior and systematic evaluation of all the parameters that distinguish the different architectures and, therefore, the system is easily exposed to various problems, the first of which is the system security. Instead, all these parameters should always be considered in a systematic way, without excluding anyone, to define the importance they have in the reference context. In this paper, we propose a systematic approach to support the students and engineers during the choice of the data warehouse architecture, taking into account the needs of the specific context in which the data warehouse will be used. this approach requires a prior detection of the importance of the parameters characterizing the different architectures in the reference context. then, a global value is defined for each architecture, which allows to compare them. Furthermore, we present an empirical evaluation of the effectiveness of the proposed approach.

关键词： data Warehouse Architecture Cloud Computing Big data Software Engineering Software security

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共153页 << < 79 80 81 82 83 84 85 86 87 88 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：