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

1,487 篇 会议
26 册 图书
6 篇 期刊文献

馆藏范围

1,519 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
109 篇 security
75 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
24 篇 sensitive data
23 篇 data security
22 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 beijing univ pos...
3 篇 university of el...
3 篇 carnegie mellon ...
3 篇 tech univ dresde...

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

1,390 篇 英文
127 篇 其他
7 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 1519 条记录，以下是131-140 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：

Sign Up Wallet: A Blockchain and Machine Learning based Self-Sovereign Identity Model for Enhanced Digital security 5

引用

5th International conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2024

作者： Rani, K. Sankar Vishnu Gomathi, S. Vijay, C. Sujith, S.B. Alagu Ramanan, S. M. Kumarasamy College of Engineering Department of Information Technology Tamil Nadu Karur639113 India

ISBN: (纸本)9798350385649

Digital identity management faces challenges with centralized and federated systems, risking large-scale data breaches and privacy violations. In response, this article presents the Sign-Up Wallet, a novel approach to digital identity management integrating blockchain and machine learning. the self-sovereign identity model leverages blockchain technology, eliminating the need for trusted third parties. Users store their digital identity in the Sign Up Wallet with cryptographic keys, enhancing security and control. During registration, a Unique Personal Identifier (UPI) Code ensures secure credential verification. Machine learning, specifically Logistic Regression, is employed to assess the trustworthiness of service providers, enabling users to make informed choices. In cases of untrusted providers, a Lookup Substitution Algorithm generates masked credentials, preserving user privacy during verification. the primary goal is to empower individuals with greater control over their digital identities, mitigating risks associated with centralized authorities and enhancing overall digital security. © 2024 IEEE.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

A Blockchain Editable Scheme with Dynamic Access Control 5

A Blockchain Editable Scheme with Dynamic Access Control

引用

5th International conference on Computer, Big data and Artificial Intelligence, ICCBD+AI 2024

作者： Zheng, Qiankun Ye, Junyao Lai, Junzuo Jingdezhen Ceramic University Information Engineering College Jingdezhen333403 China Jinan University College of Information Science and Technology Guangzhou510632 China

ISBN: (纸本)9798331533991

With the rise of blockchain technology, its inherent characteristics of decentralization, tamper resistance, and persistence have made it a crucial method for the persistence and storage of big data. However, considering that the data stored in the blockchain for a long time will face complex and changeable data usage scenarios, existing solutions can only partially achieve data editability and access revocation, often suffering from inefficiencies, serious key management problems, and lack of flexibility in access control strategies. this paper proposes a scheme that combines Chameleon Hashing with a timestamp update mechanism, integrated with efficient traceable attribute-based encryption with dynamic access control (TABE-DAC), to enable blockchain data editability and dynamic access control while retaining a certain degree of accountability. Finally, through simulation and performance analysis on the Ethereum test network, we demonstrate that our solution not only provides flexible control over the data but also enhances the system's efficiency and security, making it well-suited for complex blockchain application scenarios. © 2024 IEEE.

关键词： Access Control Big data Persistence and Storage Big data Protection Blockchain Integrity and privacy

来源：评论

学校读者我要写书评

暂无评论

A privacy-Preserving Smart Contract Vulnerability Detection Framework for Permissioned Blockchain 30

A Privacy-Preserving Smart Contract Vulnerability Detection ...

引用

30th acm SIGSAC conference on Computer and Communications security (acm CCS)

作者： Tian, Wensheng Zhang, Lei Chen, Shuangxi Wang, Hu Luo, Xiao Nanhu Lab Jiaxing Peoples R China Jiaxing Vocat & Tech Coll Jiaxing Peoples R China Zhejiang Big Data Dev Adm Hangzhou Peoples R China Zhejiang Univ Hangzhou Peoples R China

ISBN: (纸本)9798400700507

the two main types of blockchains that are currently widely deployed are public blockchains and permissioned blockchains. the research that has been conducted for blockchain vulnerability detection is mainly oriented to public blockchains. Less consideration is given to the unique requirements of the permissioned blockchains, which cannot be directly migrated to the application scenarios of the permissioned blockchains. the permissioned blockchain is deployed between verified organizations, and its smart contracts may contain sensitive information such as the transaction flow of the contracts, transaction algorithms. the sensitive information can be considered as the private information of the smart contracts themselves, which should be kept confidential to users outside the blockchain. In this paper, a privacy-preserving smart contract vulnerability detection framework is proposed. the framework leverages blockchain and confidential computing technologies to enable vulnerability detection in permissioned blockchain smart contracts while protecting the privacy of smart contracts. the framework is also able to protect the interests of vulnerability detection model owners. We experimentally validate the detection performance of our framework in a confidential computing environment.

关键词： Smart Contract privacy-preserving Vulnerability Detection Blockchain

来源：评论

学校读者我要写书评

暂无评论

Exploring Unlearning Methods to Ensure the privacy, security, and Usability of Recommender Systems 23

Exploring Unlearning Methods to Ensure the Privacy, Security...

引用

17th acm conference on Recommender Systems (RecSys)

作者： Leysen, Jens Univ Antwerp Antwerp Belgium

ISBN: (纸本)9798400702419

Machine learning algorithms have proven highly effective in analyzing large amounts of data and identifying complex patterns and relationships. One application of machine learning that has received significant attention in recent years is recommender systems, which are algorithms that analyze user behavior and other data to suggest items or content that a user may be interested in. However useful, these systems may unintentionally retain sensitive, outdated, or faulty information. Posing a risk to user privacy, system security, and limiting a system's usability. In this research proposal, we aim to address these challenges by investigating methods for machine "unlearning", which would allow information to be efficiently "forgotten" or "unlearned" from machine learning models. the main objective of this proposal is to develop the foundation for future machine unlearning methods. We first evaluate current unlearning methods and explore novel adversarial attacks on these methods' verifiability, efficiency, and accuracy to gain new insights and further develop the theory of machine unlearning. Using our gathered insights, we seek to create novel unlearning methods that are verifiable, efficient, and limit unnecessary accuracy degradation. through this research, we seek to make significant contributions to the theoretical foundations of machine unlearning while also developing unlearning methods that can be applied to real-world problems.

关键词： Recommender Systems Machine Unlearning Research Proposal

来源：评论

学校读者我要写书评

暂无评论

Government and Enterprise data security Sharing Method Based on Differential privacy Protection 5

Government and Enterprise Data Security Sharing Method Based...

引用

5th International conference on Computer Information Science and Artificial Intelligence, CISAI 2022

作者： Xu, Xiaomin Zhu, Zhenglei Liu, Jiange Liu, Xin Guo, Qingxuan State Grid Huaian Power Support Company Jiangsu Huaian223002 China

ISBN: (纸本)9781510662520

the security of government and enterprise data sharing is very important and critical. To increase the number of data sharing, create a more stable transmission and processing environment, and reduce network threats, this paper studies the security sharing method of government and enterprise data based on differential privacy protection. Firstly, the government and enterprise data encryption is described, and the Tendermint differential overlapping interactive sharing nodes are deployed in the preset area. then, based on this, the interactive differential privacy protection data sharing model is designed, and the threat identification method is used to achieve data security sharing. the experimental results show that compared with the traditional proxy encryption data security sharing test group and the traditional CP-ABE data security sharing test group, the differential privacy protection sharing test group designed in this paper achieves relatively more times of one-way data security sharing, which indicates that the proposed method has a small error and fast speed in the actual data transmission process. the data processing in the region has less restrictive conditions and has practical application value. © 2023 SPIE.

关键词： Cryptography

来源：评论

学校读者我要写书评

暂无评论

Network Anomaly Detection Algorithm Based on Fusion of Artificial Fish Swarming and Isolation Forest 5

Network Anomaly Detection Algorithm Based on Fusion of Artif...

引用

5th International conference on Computer Engineering and application (ICCEA)

作者： Zhang, Chen Shen, Wei Wang, ShengZhao Wu, Yue Hefei Univ Artificial Intelligence & Big Data Acad Hefei Peoples R China Guochuang Software Co Ltd Hefei Peoples R China Hefei Univ Technol Intelligent Interconnected Syst Lab Anhui Prov Hefei Peoples R China

ISBN: (纸本)9798350386783;9798350386776

Currently, network security involves all aspects of human life privacy, etc., and anomalous data detection has been an important means of protection against network attacks. Aiming at the problem of unreasonable allocation of voting weights of different isolation trees in isolation forest, an isolation forest algorithm based on artificial fish swarming is proposed. the artificial fish swarming algorithm(AFSA) has a strong global search capability for the problem space solution, and in the stage of calculating the anomaly score, the artificial fish swarming algorithm is used to optimise the weight of the isolation trees in isolation forest, increase the weight of isolation trees with high detection accuracy, and reduce the weight of isolation trees with low detection accuracy, so as to ultimately improve the accuracy of the detection of anomalous data. In this paper,we conduct comparative experiments with Probabilistic Generalization of Isolation Forest(PGIF) and Isolation Forest(IForest) on the ODDS anomaly detection dataset and network intrusion detection dataset. the experimental results show that the present algorithm improves the average AUC value by 6% and 5% on the ODDS dataset and NSL-KDD dataset, respectively.

关键词： network security anomalous detection Isolation Forest artificial fish swarming

来源：评论

学校读者我要写书评

暂无评论

Research on privacy protection scheme based on data fuzzy processing 5

Research on privacy protection scheme based on data fuzzy pr...

引用

5th International conference on Internet of things, Automation and Artificial Intelligence, IoTAAI 2023

作者： Fu, Yewen Li, Yongzheng Jin, Zhexue Network Information Security Laboratory Yanbian University Engineering College Yanbian Autonomous Prefecture Jilin Province Yanji City China

ISBN: (纸本)9798400716485

the continuous development of cloud storage has brought unprecedented convenience to people's lives. However, along with the convenience, it also brings certain security risks. Cloud data can be maliciously used, modified, leaked, and spread. the presence of sensitive information in publicly available files can pose security risks and be exploited for malicious purposes. In response to these issues, this paper proposes a scheme for fuzzy processing of public data. It introduces the Trie tree method to identify sensitive keywords in the text, uses weighted entropy to enhance classification reliability, and utilizes SHA-256 and XOR to achieve unique desensitization replacement for the keywords in the text. through experiments, the reliability of this scheme, the efficiency of encrypting and decrypting sensitive characters in the text, and the security of user data are demonstrated. © 2023 acm.

关键词： Entropy

来源：评论

学校读者我要写书评

暂无评论

Blockchain in Cyber security: A Comprehensive Review 5th

Blockchain in Cyber Security: A Comprehensive Review

引用

5th International conference on data Science, Machine Learning and applications

作者： Prashanth, Mallellu Sai Karnati, Ramesh Velpuru, Muni Sekhar Reddy, H. Venkateshwara Vardhaman Coll Engn Dept Comp Sci & Engn Hyderabad India Vardhaman Coll Engn Dept Informat Technol Hyderabad India

ISBN: (纸本)9789819780334;9789819780310;9789819780303

Strong and creative solutions to secure digital systems and data are becoming more and more necessary as cybersecurity threats increase in frequency and sophistication. Recently, a promising method for improving cybersecurity has arisen using blockchain technology, which is well known for its use in cryptocurrencies. With an emphasis on its advantages, disadvantages, and knowledge gaps, this study offers a thorough overview of the body of literature on the application of blockchain technology in cybersecurity. the article opens with an overview of the cybersecurity landscape and a description of blockchain technology, including its background and salient characteristics. the use of blockchain in cybersecurity is then thoroughly examined by doing a thorough literature review. the benefits of blockchain in dealing with cybersecurity issues are recognised and addressed. these benefits include immutable ledger, distributed architecture, consensus processes, smart contracts, transparency, decentralised governance, and identity management. However, analysis is also done on blockchain's shortcomings in dealing with cybersecurity issues, such as scalability, energy consumption, compatibility, knowledge, regulatory framework, smart contract vulnerabilities, and early expenses. Additionally, the evaluation of various consensus mechanisms, the creation of standardised protocols, and the investigation of novel applications are recognised and discussed as research gaps connected to blockchain in cybersecurity. the data gathering and analysis methods used in this study's research methodology are detailed in full. the study's findings are presented in the results and discussion section, which also explores how they relate to earlier works of literature. the main conclusions are outlined in the conclusion, along with suggestions for additional study in this field. Overall, this article offers a thorough analysis of blockchain's possible benefits and drawbacks in cybersecurity, iden

关键词： Blockchain Cybersecurity Industry 4.0 Digitalization privacy

来源：评论

学校读者我要写书评

暂无评论

Attribute Inference Attacks in Online Multiplayer Video Games: A Case Study on DOTA2 23

Attribute Inference Attacks in Online Multiplayer Video Game...

引用

13th acm conference on data and application security and privacy (CODASPY)

作者： Tricomi, Pier Paolo Apruzzese, Giovanni Facciolo, Lisa Conti, Mauro Univ Padua Dept Math Padua Italy Univ Liechtenstein Hilti Chair Data & Applicat Secur Vaduz Liechtenstein Delft Univ Technol Fac EEMCS Delft Netherlands

ISBN: (纸本)9798400700675

Did you know that over 70 million of DOTA2 players have their in-game data freely accessible? What if such data is used in malicious ways? this paper is the first to investigate such a problem. Motivated by the widespread popularity of video games, we propose the first threat model for Attribute Inference Attacks (AIA) in the DOTA2 context. We explain how (and why) attackers can exploit the abundant public data in the DOTA2 ecosystem to infer private information about its players. Due to lack of concrete evidence on the efficacy of our AIA, we empirically prove and assess their impact in reality. By conducting an extensive survey on similar to 500 DOTA2 players spanning over 26k matches, we verify whether a correlation exists between a player's DOTA2 activity and their real-life. then, after finding such a link (p < 0.01 and rho > 0.3), we ethically perform diverse AIA. We leverage the capabilities of machine learning to infer real-life attributes of the respondents of our survey by using their publicly available in-game data. Our results show that, by applying domain expertise, some AIA can reach up to 98% precision and over 90% accuracy. this paper hence raises the alarm on a subtle, but concrete threat that can potentially affect the entire competitive gaming landscape. We alerted the developers of DOTA2.

关键词： Attribute Inference Attack Video Games Dota2 Machine Learning

来源：评论

学校读者我要写书评

暂无评论

data security and privacy Issues in Cloud Environment 5

Data Security and Privacy Issues in Cloud Environment

引用

5th International conference on Smart Systems and Inventive Technology, ICSSIT 2023

作者： Pavani, Kilarapu Sree, Jangala Rani Sai Rani, Avuthu Siva Swaroopa Rohini, Kondepati Kumar, T. Pavan Yellamma, Pachipala Koneru Lakshmaiah Education Foundation Computer Science and Engineering Guntur India

ISBN: (纸本)9781665474672

Cloud Computing is a computing paradigm where the user store data, access data, and deliver services through the internet, many people are opting for the cloud for storing the data which makes working on things easier and also reduces the maintenance of the hardware. security and privacy are two of the cloud computing industry's most difficult issues. there are more chances of cloud servers being hacked, which give access to data to an unauthorized user, and the data can contain sensitive information which is why many users, or many organizations hesitate to migrate to the cloud. To protect and provide security to the data, one should apply some encryption techniques to the data before transferring them to the cloud. For providing security many cryptographic techniques are used, some of the encryption techniques are data Encryption Standard, Advanced Encryption Standard, Rivest-Shamir-Adleman, and Attribute-based. the primary goal of adopting encryption techniques is to give security to the data in the cloud, which is enhanced by using an encryption algorithm. this study compares the different encryption techniques along with their advantages and drawbacks © 2023 IEEE.

关键词： Cryptography

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152页 << < 10 11 12 13 14 15 16 17 18 19 > >>

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：