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

54 篇 会议

馆藏范围

54 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

50 篇 工学
- 49 篇 计算机科学与技术...
- 24 篇 信息与通信工程
- 10 篇 软件工程
- 3 篇 电气工程
- 2 篇 控制科学与工程
- 2 篇 化学工程与技术
- 2 篇 生物医学工程（可授...
- 2 篇 生物工程
- 1 篇 仪器科学与技术
11 篇 理学
- 9 篇 数学
- 2 篇 化学
- 2 篇 生物学
2 篇 医学
- 2 篇 基础医学(可授医学...
- 2 篇 临床医学
- 2 篇 公共卫生与预防医...
2 篇 管理学
- 1 篇 管理科学与工程(可...
- 1 篇 图书情报与档案管...
1 篇 法学
- 1 篇 法学

主题

11 篇 privacy
5 篇 security
4 篇 internet of thin...
4 篇 blockchain
3 篇 intel sgx
3 篇 iot
3 篇 differential pri...
3 篇 machine learning
2 篇 data confidentia...
2 篇 data privacy
2 篇 user privacy
2 篇 attacks
2 篇 vulnerability
2 篇 trust management
2 篇 federated learni...
1 篇 cloud computing:...
1 篇 cyber attacks
1 篇 ethereum
1 篇 threats
1 篇 smart homes

机构

2 篇 univ coimbra cis...
2 篇 univ neuchatel n...
1 篇 north carolina s...
1 篇 state grid jiang...
1 篇 montclair state ...
1 篇 promotion founda...
1 篇 univ porto cisuc...
1 篇 stevens inst tec...
1 篇 university of ma...
1 篇 colroado sch min...
1 篇 university of te...
1 篇 univ fed campina...
1 篇 inesc tec porto
1 篇 nashua high scho...
1 篇 iit roorkee utta...
1 篇 north carolina s...
1 篇 univ houston hou...
1 篇 nashua high scho...
1 篇 indian inst tech...
1 篇 university of lu...

作者

2 篇 cunha mariana
2 篇 felber pascal
2 篇 vilela joao p.
2 篇 mendes ricardo
2 篇 huang xiuli
2 篇 sural shamik
1 篇 franzen fabian
1 篇 debasish jena
1 篇 le traon yves
1 篇 satvat kiavash
1 篇 wang liming
1 篇 duarte guilherme
1 篇 gupta peeyush
1 篇 huh young
1 篇 brito andrey
1 篇 rani p. jhansi
1 篇 zhang tong
1 篇 murynets ilona
1 篇 tsankov petar
1 篇 kalkan kubra

语言

53 篇 英文
1 篇 德文

检索条件"任意字段=10th ACM Conference on Data and Application Security and Privacy, CODASPY 2020"

共 54 条记录，以下是11-20 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：

AuthPDB: Authentication of Probabilistic Queries on Outsourced Uncertain data 20

AuthPDB: Authentication of Probabilistic Queries on Outsourc...

引用

10th acm conference on data and application security and privacy (codaspy)

作者： Zhang, Bo Dong, Boxiang Sun, Haipei Wang, Wendy Hui Stevens Inst Technol Hoboken NJ 07030 USA Montclair State Univ Montclair NJ USA

ISBN: (纸本)9781450371070

Query processing over uncertain data has gained much attention recently. Due to the high computational complexity of query evaluation on uncertain data, the data owner can outsource her data to a server that provides query evaluation as a service. However, a dishonest server may return cheap (and incorrect) query answers, hoping that the client who has weak computational power cannot catch the incorrect results. To address the integrity issue, in this paper, we design AuthPDB, a framework that supports efficient authentication of query evaluation for both all-answer and top-k queries on outsourced probabilistic databases. Our empirical results on real-world datasets demonstrate the effectiveness and efficiency of AuthPDB.

关键词： data security data outsourcing integrity verification probabilistic database

来源：评论

学校读者我要写书评

暂无评论

Evaluation of Secure Remote Offering Service for Information Bank 20

Evaluation of Secure Remote Offering Service for Information...

引用

10th acm conference on data and application security and privacy (codaspy)

作者： Kayaba, Keita Oguri, Hidenobu Yamaoka, Yuji Fujitsu Labs Ltd Tokyo Japan

ISBN: (纸本)9781450371070

An information bank is a reliable data ecosystem for the distribution and utilization of personal data (PD). In order to maintain the trust of individuals, sharing of personal data between businesses and the information bank is required to be secure. therefore, the information bank must prevent abuse and leaking of personal data. there are several measures that can be taken to limit the damage imposed upon the individual in the case of data abuse or leakage. However, it is difficult to prevent abuse and leakage once the data has been shared with businesses. thiswork focuses on the security of an offering service on the information bank. the information bank offers useful information or services to individuals from businesses' based on shared personal *** devise a remote offering service enabling businesses to target individuals without sharing personal data. Moreover, we consider a malicious threat on the remote offering service and propose a mechanism for detecting this threat. the experimental results suggest that the proposed mechanism is useful in some real security use cases.

关键词： Information Bank privacy Remote Execution Offering Service

来源：评论

学校读者我要写书评

暂无评论

A Baseline for Attribute Disclosure Risk in Synthetic data 20

A Baseline for Attribute Disclosure Risk in Synthetic Data

引用

10th acm conference on data and application security and privacy (codaspy)

作者： Hittmeir, Markus Mayer, Rudolf Ekelhart, Andreas SBA Res Vienna Austria

ISBN: (纸本)9781450371070

the generation of synthetic data is widely considered as viable method for alleviating privacy concerns and for reducing identification and attribute disclosure risk in micro-data. the records in a synthetic dataset are artificially created and thus do not directly relate to individuals in the original data in terms of a 1-to-1 correspondence. As a result, inferences about said individuals appear to be infeasible and, simultaneously, the utility of the data may be kept at a high level. In this paper, we challenge this belief by interpreting the standard attacker model for attribute disclosure as classification problem. We show how disclosure risk measures presented in recent publications may be compared to or even be reformulated as machine learning classification models. Our overall goal is to empirically analyze attribute disclosure risk in synthetic data and to discuss its close relationship to data utility. Moreover, we improve the baseline for attribute disclosure risk from the attacker's perspective by applying variants of the RadiusNearestNeighbor and the EnsembleVote classifiers.

关键词： privacy-Preserving data Mining Synthetic data Machine Learning

来源：评论

学校读者我要写书评

暂无评论

IoT Expunge: Implementing Verifiable Retention of IoT data 20

IoT Expunge: Implementing Verifiable Retention of IoT Data

引用

10th acm conference on data and application security and privacy (codaspy)

作者： Panwar, Nisha Sharma, Shantanu Gupta, Peeyush Ghosh, Dhrubajyoti Mehrotra, Sharad Venkatasubramanian, Nalini Augusta Univ Augusta GA 30912 USA Univ Calif Irvine Irvine CA 92717 USA

ISBN: (纸本)9781450371070

the growing deployment of Internet of things (IoT) systems aims to ease the daily life of end-users by providing several value-added services. However, IoT systems may capture and store sensitive, personal data about individuals in the cloud, thereby jeopardizing user-privacy. Emerging legislation, such as California's CalOPPA and GDPR in Europe, support strong privacy laws to protect an individual's data in the cloud. One such law relates to strict enforcement of data retention policies. this paper proposes a framework, entitled IoT Expunge that allows sensor data providers to store the data in cloud platforms that will ensure enforcement of retention policies. Additionally, the cloud provider produces verifiable proofs of its adherence to the retention policies. Experimental results on a real-world smart building testbed show that IoT Expunge imposes minimal overheads to the user to verify the data against data retention policies.

关键词： Internet of things smart building user privacy data deletion verification

来源：评论

学校读者我要写书评

暂无评论

Renyi Differentially Private ADMM for Non-Smooth Regularized Optimization 20

Renyi Differentially Private ADMM for Non-Smooth Regularized...

引用

10th acm conference on data and application security and privacy (codaspy)

作者： Chen, Chen Lee, Jaewoo Univ Georgia Athens GA 30602 USA

ISBN: (纸本)9781450371070

In this paper we consider the problem of minimizing composite objective functions consisting of a convex differentiable loss function plus a non-smooth regularization term, such as L-1 norm or nuclear norm, under Renyi differential privacy (RDP). To solve the problem, we propose two stochastic alternating direction method of multipliers (ADMM) algorithms: ssADMM based on gradient perturbation and mpADMM based on output perturbation. Both algorithms decompose the original problem into sub-problems that have closed-form solutions. the first algorithm, ssADMM, applies the recent privacy amplification result for RDP to reduce the amount of noise to add. the second algorithm, mpADMM, numerically computes the sensitivity of ADMM variable updates and releases the updated parameter vector at the end of each epoch. We compare the performance of our algorithms with several baseline algorithms on both real and simulated datasets. Experimental results show that, in high privacy regimes (small.), ssADMM and mpADMM outperform baseline algorithms in terms of classification and feature selection performance, respectively.

关键词： differential privacy convex optimization ADMM regularization

来源：评论

学校读者我要写书评

暂无评论

CREPE: A privacy-Enhanced Crash Reporting System 20

CREPE: A Privacy-Enhanced Crash Reporting System

引用

10th acm conference on data and application security and privacy (codaspy)

作者： Satvat, Kiavash Shirvanian, Maliheh Hosseini, Mahshid Saxena, Nitesh Univ Illinois Chicago IL 60680 USA Visa Res Foster City CA USA Univ Alabama Birmingham Birmingham AL USA

ISBN: (纸本)9781450371070

Software crashes are nearly impossible to avoid. the reported crashes often contain useful information assisting developers in finding the root cause of the crash. However, crash reports may carry sensitive and private information about the users and their systems, which may be used by an attacker who has compromised the crash reporting system to violate the user's privacy and security. Besides, a single bug may trigger loads of identical reports which excessively consumes system resources and overwhelms application developers. In this paper, we introduce CREPE, a security-concerned crash reporting solution, that effectively reduces the number of submitted crash reports to mitigate the security and privacy risk associated with the current implementation of the crash reporting system. Similar to the currently deployed systems, CREPE aggregates and categorizes the crashes based on their root cause. On top of that, the server marks the crash categories in which sufficient reports have been received as "saturated" and informs the clients periodically through software updates. On the client, CREPE engages the reporting application in categorizing each crash to only submit reports belonging to non-saturated categories. We evaluate CREPE using one year of data from Mozilla crash reporting system containing 38,834,383 reports of Firefox crashes. Our analysis suggests that we can significantly reduce the number of submitted reports by bucketing 100 most frequent crash signatures at the client. this helps to preserve the security and the privacy of a significant portion of users whose data has not been shared with the server due to the redundancy of their crash data with previously submitted reports.

关键词： Crash Reporting Crash Report privacy Crash Report security Browser privacy

来源：评论

学校读者我要写书评

暂无评论

Attacking and Protecting Tunneled Traffic of Smart Home Devices 20

Attacking and Protecting Tunneled Traffic of Smart Home Devi...

引用

10th acm conference on data and application security and privacy (codaspy)

作者： Alshehri, Ahmed Granley, Jacob Yue, Chuan Colroado Sch Mines Golden CO 80401 USA

ISBN: (纸本)9781450371070

the number of smart home IoT (Internet of things) devices has been growing fast in recent years. Along with the great benefits brought by smart home devices, new threats have appeared. One major threat to smart home users is the compromise of their privacy by traffic analysis (TA) attacks. Researchers have shown that TA attacks can be performed successfully on either plain or encrypted traffic to identify smart home devices and infer user activities. Tunneling traffic is a very strong countermeasure to existing TA attacks. However, in this work, we design a Signature based Tunneled Traffic Analysis (STTA) attack that can be effective even on tunneled traffic. Using a popular smart home traffic dataset, we demonstrate that our attack can achieve an 83% accuracy on identifying 14 smart home devices. We further design a simple defense mechanism based on adding uniform random noise to effectively protect against our TA attack without introducing too much overhead. We prove that our defense mechanism achieves approximate differential privacy.

关键词： Internet of things (IoT) Traffic Analysis (TA) privacy Differential privacy Smart Homes Attacks Defenses

来源：评论

学校读者我要写书评

暂无评论

FridgeLock: Preventing data theft on Suspended Linux with Usable Memory Encryption 20

FridgeLock: Preventing Data Theft on Suspended Linux with Us...

引用

10th acm conference on data and application security and privacy (codaspy)

作者： Franzen, Fabian Andreas, Manuel Huber, Manuel Tech Univ Munich Munich Germany Fraunhofer AISEC Garching Germany

ISBN: (纸本)9781450371070

To secure mobile devices, such as laptops and smartphones, against unauthorized physical data access, employing Full Disk Encryption (FDE) is a popular defense. this technique is effective if the device is always shut down when unattended. However, devices are often suspended instead of switched off. this leaves confidential data such as the FDE key, passphrases and user data in RAM which may be read out using cold boot, JTAG or DMA attacks. these attacks can be mitigated by encrypting the main memory during suspend. While this approach seems promising, it is not implemented on Windows or Linux. We present FridgeLock to add memory encryption on suspend to Linux. Our implementation as a Linux Kernel Module (LKM) does not require an admin to recompile the kernel. Using Dynamic Kernel Module Support (DKMS) allows for easy and fast deployment on existing Linux systems, where the distribution provides a prepackaged kernel and kernel updates. We tested our module on a range of 4.19 to 5.3 kernels and experienced a low performance impact, sustaining the system's usability. We hope that our tool leads to a more detailed evaluation of memory encryption in real world usage scenarios.

关键词： suspend time memory encryption operating systems security ram encryption data confidentiality

来源：评论

学校读者我要写书评

暂无评论

Understanding privacy Awareness in Android App Descriptions Using Deep Learning 20

Understanding Privacy Awareness in Android App Descriptions ...

引用

10th acm conference on data and application security and privacy (codaspy)

作者： Feichtner, Johannes Gruber, Stefan Graz Univ Technol Graz Austria Secure Informat Technol Ctr Austria A SIT Graz Austria

ISBN: (纸本)9781450371070

Permissions are a key factor in Android to protect users' privacy. As it is often not obvious why applications require certain permissions, developer-provided descriptions in Google Play and third-party markets should explain to users how sensitive data is processed. Reliably recognizing whether app descriptions cover permission usage is challenging due to the lack of enforced quality standards and a variety of ways developers can express privacy-related facts. We introduce a machine learning-based approach to identify critical discrepancies between developer-described app behavior and permission usage. By combining state-of-the-art techniques in natural language processing (NLP) and deep learning, we design a convolutional neural network (CNN) for text classification that captures the relevance of words and phrases in app descriptions in relation to the usage of dangerous permissions. Our system predicts the likelihood that an app requires certain permissions and can warn about descriptions in which the requested access to sensitive user data and system features is textually not represented. We evaluate our solution on 77,000 real-world app descriptions and find that we can identify individual groups of dangerous permissions with a precision between 71% and 93%. To highlight the impact of individual words and phrases, we employ a model explanation algorithm and demonstrate that our technique can successfully bridge the semantic gap between described app functionality and its access to security- and privacy-sensitive resources.

关键词： Android Machine Learning Description Permission NLP CNN

来源：评论

学校读者我要写书评

暂无评论

CREHMA: Cache-aware REST-ful HTTP Message Authentication 20

CREHMA: Cache-aware REST-ful HTTP Message Authentication

引用

10th acm conference on data and application security and privacy (codaspy)

作者： Hoai Viet Nguyen Lo Iacono, Luigi Cologne Univ Appl Sci Cologne Germany

ISBN: (纸本)9781450371070

Scalability and security are two important elements of contemporary distributed software systems. the Web vividly shows that while complying with the constraints defined by the architectural style REST, the layered design of software with intermediate systems enables to scale at large. Intermediaries such as caches, however, interfere with the security guarantees of the industry standard for protecting data in transit on the Web, TLS, as in these circumstances the TLS channel already terminates at the intermediate system's server. For more in-depth defense strategies, service providers require message-oriented security means in addition to TLS. these are hardly available and only in the form of HTTP signature schemes that do not take caches into account either. In this paper we introduce CREHMA, a REST-ful HTTP message signature scheme that guarantees the integrity and authenticity of Web assets from end-to-end while simultaneous allowing service providers to enjoy the benefits ofWeb caches. Decisively, CREHMA achieves these guarantees without having to trust on the integrity of the cache and without requiring making changes to existingWeb caching systems. In extensive experiments we evaluated CREHMA and found that it only introduces marginal impacts on metrics such as latency and data expansion while providing integrity protection from end to end. CREHMA thus extends the possibilities of service providers to achieve an appropriate balance between scalability and security.

关键词： HTTP Web Caching REST End-to-End security Signature

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6页 << < 1 2 3 4 5 6 > >>

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：