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

9,485 篇 会议
1,076 册 图书

馆藏范围

10,561 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

9,153 篇 工学
- 8,699 篇 计算机科学与技术...
- 4,037 篇 信息与通信工程
- 1,156 篇 机械工程
- 725 篇 软件工程
- 531 篇 电气工程
- 228 篇 农业工程
- 147 篇 控制科学与工程
- 116 篇 环境科学与工程（可...
- 81 篇 城乡规划学
- 44 篇 生物医学工程（可授...
- 34 篇 安全科学与工程
- 25 篇 测绘科学与技术
- 25 篇 生物工程
- 18 篇 电子科学与技术（可...
- 17 篇 土木工程
1,977 篇 管理学
- 1,925 篇 管理科学与工程(可...
- 116 篇 工商管理
- 57 篇 图书情报与档案管...
542 篇 农学
- 538 篇 作物学
364 篇 理学
- 155 篇 科学技术史(分学科...
- 143 篇 数学
- 35 篇 生物学
- 17 篇 大气科学
- 16 篇 地理学
174 篇 教育学
- 174 篇 教育学
165 篇 法学
- 147 篇 社会学
- 16 篇 政治学
82 篇 文学
- 81 篇 新闻传播学
52 篇 经济学
- 41 篇 理论经济学
16 篇 医学
- 16 篇 基础医学(可授医学...
1 篇 军事学
1 篇 艺术学

主题

282 篇 artificial intel...
275 篇 computer communi...
253 篇 industry 4.0
233 篇 information syst...
182 篇 machine learning
130 篇 simulation
125 篇 computer applica...
113 篇 computers and so...
108 篇 collaborative ne...
98 篇 knowledge manage...
95 篇 sustainability
86 篇 theory of comput...
84 篇 software enginee...
83 篇 internet of thin...
81 篇 deep learning
79 篇 software enginee...
77 篇 circular economy
77 篇 optimization
74 篇 management of co...
71 篇 digitalization

机构

62 篇 china agr univ c...
45 篇 univ paulista sa...
40 篇 norwegian univ s...
38 篇 natl engn res ct...
30 篇 tecnol monterrey...
29 篇 university of am...
27 篇 zf friedrichshaf...
27 篇 beijing res ctr ...
26 篇 univ hong kong c...
26 篇 politecn milan d...
24 篇 university of pi...
24 篇 univ bergamo ber...
23 篇 univ cape town c...
23 篇 politecn milan d...
23 篇 tecnol monterrey...
23 篇 chalmers univ te...
21 篇 democritus unive...
20 篇 china agr univ c...
20 篇 univ oslo oslo
20 篇 nova university ...

作者

63 篇 luis m. camarinh...
55 篇 taisch marco
47 篇 camarinha-matos ...
41 篇 chow kam-pui
41 篇 ilias maglogiann...
39 篇 wuest thorsten
38 篇 afsarmanesh hami...
38 篇 powell daryl
38 篇 stich volker
36 篇 nielsen kjeld
35 篇 gaiardelli paolo
33 篇 tzovaras dimitri...
32 篇 kiritsis dimitri...
32 篇 chochliouros ioa...
30 篇 hamideh afsarman...
29 篇 strandhagen jan ...
29 篇 schuh guenther
27 篇 rabelo ricardo j...
27 篇 alfnes erlend
26 篇 dolgui alexandre

语言

10,514 篇 英文
47 篇 中文

检索条件"丛书名=IFIP Advances in Information and Communication Technology 461"

共 10561 条记录，以下是201-210 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：

The Good, the Bad and the Ugly: Investigating the Effectiveness of Graph Deep Neural Networks for Anomaly Detection in Industrial Control Systems 7th

The Good, the Bad and the Ugly: Investigating the Effectiven...

引用

7th ifip WG 5.5 International Cross-Domain Conference on Internet of Things

作者： Nahalka, Martin Cook, Marco M. Pezaros, Dimitrios Univ Glasgow Glasgow Lanark Scotland

ISBN: (纸本)9783031819025;9783031819001;9783031818998

Industrial Control Systems (ICS) are paramount to the efficient operation of Critical National Infrastructure (CNI) ranging from electricity generation and distribution to manufacturing. However, the growing convergence of ICS with information technology (IT) systems renders CNI vulnerable to a range of cyber threats. Graph neural networks are being increasingly used for anomaly detection by adding granularity to the detection process. In this paper, we present a comparative study of graph-based deep learning models for ICS anomaly detection. Through the evaluation of four models using three multivariate industrial datasets, we aim to discern the effectiveness of prediction and reconstruction-based graph models in the ICS domain. We investigate data reduction techniques to minimise features needed to represent the window size and examine the representation of sliding window in terms of feature size for time-series analysis. Additionally, we assess the impact of the length of a context window on anomaly detection performance. Our results show that using feature reduction techniques on a longer context window produces better results while having the computational advantages of a shorter window size. Graph autoencoder is the most resilient to feature size reduction by maintaining similar F1 and AUC-PR score regardless of the number of features used to represent a context window. The results also provide insight to the suitability of graph-based models in this domain and offer recommendations for their optimal usage, paving the way for enhanced security and resilience in ICS.

关键词： Anomaly detection Industrial Control Systems Deep Learning Graph Neural Networks Machine Learning

来源：评论

学校读者我要写书评

暂无评论

A Blockchain and IPFS-Enhanced Model for Attack Detection and Resource Efficiency 7th

A Blockchain and IPFS-Enhanced Model for Attack Detection an...

引用

7th ifip WG 5.5 International Cross-Domain Conference on Internet of Things

作者： Jmal, Raouf Masmoudi, Mariam Amous, Ikram Sedes, Florence Univ Sfax MIRACL Enet Com Sfax Tunisia Univ Sfax MIRACL FSEGS Sfax Tunisia Paul Sabatier Univ IRIT Toulouse France

ISBN: (纸本)9783031819025;9783031819001;9783031818998

The Social Internet of Things (SIoT) facilitates seamless interactions between IoT devices, providing users with quick and convenient services. However, this domain is vulnerable to manipulation by malicious nodes that issue false recommendations and services to inflate their reputation, leading to trust-related attacks. Developing trust models to detect these attacks in each interaction is challenging due to the complexity of the patterns and features required for accurate prediction. Furthermore, trust metrics are not consistently updated for each node, resulting in inefficiencies and unnecessary resource consumption. To address these challenges, we propose a system that analyzes the context of the current interaction and incorporates temporal factors to monitor node behavior. Our approach employs a decentralized system based on blockchain and IPFS storage, reducing costs and making the process of trust evaluation more efficient and practical for real-time scenarios. This method enhances the detection of trust-related attacks while optimizing resource allocation and execution time.

关键词： SIoT Trust Real-Time attack detection Blockchain IPFS

来源：评论

学校读者我要写书评

暂无评论

Automated Programmable Logic Controller Memory Forensics Using RGB Image Analysis and Deep Learning 18th

Automated Programmable Logic Controller Memory Forensics Usi...

引用

18th International Conference on Critical Infrastructure Protection

作者： Awad, Rima Asmar Sprayberry, Michael Ahmed, Irfan Rogers, Michael Lopez, Juan Oak Ridge Natl Lab Oak Ridge TN 37830 USA Virginia Commonwealth Univ Richmond VA USA Tennessee Technol Univ Cookeville TN USA

ISBN: (纸本)9783031818905;9783031818882;9783031818875

The introduction of Industry 4.0 and Internet-based technologies has enhanced industrial control system operations but have inadvertently increased their vulnerabilities to cyber attacks. When an industrial control system is compromised, security analysts need to identify the root cause quickly to start the recovery process and develop mitigation strategies. Memory forensics is critical in the incident analysis process to ascertain what occurred. Approaches for analyzing the persistent memory in industrial control devices are limited and almost nonexistent for volatile memory. This chapter proposes an automated methodology for programmable logic controller memory dump analysis using computer vision and deep learning techniques. The methodology converts the sequences of bytes in a programmable logic controller memory dump to red-green-blue pixels and employs a deep learning model that learns the underlying patterns and features of pre-labeled forensic artifacts in images and segments them into distinct regions. The trained model is employed to automatically segment new memory images and identify forensic artifacts. Evaluation of the methodology on a Schneider Electric Modicon M221 programmable logic controller under code injection and code modification attacks demonstrates its ability to detect attack artifacts in memory dumps.

关键词： Industrial Control Systems Memory Forensics Image Analysis Deep Learning

来源：评论

学校读者我要写书评

暂无评论

A Fail-Safe Challenge-Response Mechanism for User Equipment to Detect Rogue IMSI/SUPI Catchers 18th

A Fail-Safe Challenge-Response Mechanism for User Equipment ...

引用

18th International Conference on Critical Infrastructure Protection

作者： Wright, James Wolthusen, Stephen Norwegian Univ Sci & Technol Gjovik Norway

ISBN: (纸本)9783031818905;9783031818882;9783031818875

This chapter formalizes the security promise of channel tranquility, where an agent will not transmit messages unless it can verify that the communications channel has not been manipulated by an adversary. In the 5G standard, user equipment presumes that no manipulation can occur in the wireless channel with a radio node. However, analysis of international mobile subscriber identity/subscription permanent identifier catchers has revealed that an adversary denies service to all the legitimate radio nodes in an administrative area to exploit user equipment vulnerabilities. To limit the adversary's ability to compromise the 5G authentication and confidentiality promises, channel tranquility imposes an upper bound on the number of messages that the adversary can transmit. This work presents a verified challenge-response mechanism that detects channel tranquility violations and responds to prevent the adversary from compromising authentication and confidentiality. An applied pi calculus model of a 5G registration procedure augmented with the challengeresponse mechanism is presented. The mechanism builds a layer of defense in depth into the 5G registration procedure by incorporating an independent, redundant cryptographic system that must be undermined before other security promises can be attacked. Channel tranquility enables user equipment to quickly establish if a radio node has access to the public key infrastructure of the 5G control network. Specifically, user equipment can deduce whether an international mobile subscriber identity/subscription permanent identifier catcher has been deployed in an administrative area and then deny the adversary the ability to exploit any vulnerabilities. The challenge-response mechanism is verified using a secrecy proof that demonstrates that the adversary cannot learn the semantics of the challenge and response semantics if at least one legitimate session between user equipment and a radio node has been completed.

关键词： 5G Security Rogue IPSI/SUPI Catchers Denial of Service Defense in Depth Applied Pi Calculus

来源：评论

学校读者我要写书评

暂无评论

Digital Forensic Acquisition Using Private Internet of Things Cloud Application Programming Interfaces 20th

Digital Forensic Acquisition Using Private Internet of Thing...

引用

20th ifip WG 11.9 International Conference on Digital Forensics

作者： Olegard, Johannes Axelsson, Stefan Stockholm Univ Kista Sweden

ISBN: (纸本)9783031710278;9783031710254;9783031710247

Digital forensic practitioners face two key challenges when investigating Internet of Things devices. One is the need to reverse engineer a plethora of different devices and the other is the volatility of device data, including deleted data. This chapter attempts to address these challenges by focusing on the extraction of Internet of Things device data from the cloud by leveraging private application programming interfaces, an area that is relatively understudied in digital forensics. Specifically, this chapter presents the results of a study of decrypted traffic between six Android mobile apps (not the Internet of Things devices) and their respective cloud systems. The study results point to the feasibility of the approach and highlight the challenge involved in discovering additional application programming interface endpoints in a non-intrusive manner.

关键词： Internet of Things Forensics Application Programming Interface Forensics Reverse Engineering Transport Layer Security

来源：评论

学校读者我要写书评

暂无评论

A New TRIZ-Based Approach to Design an Innovative Production System by Integrating Lean Tools and Functionalities 24th

A New TRIZ-Based Approach to Design an Innovative Production...

引用

24th International TRIZ Future Conference

作者： Gdoura, Rami Houssin, Remy Chibane, Hicham Dhouib, Diala Coulibaly, Amadou Univ Strasbourg CSIP ICUBE Lab Strasbourg France INSA CSIP ICUBE Lab Strasbourg France Univ Sfax OLID Lab Sfax Tunisia

ISBN: (纸本)9783031759253;9783031759239;9783031759222

The aim of this article is to improve the performance of production systems by integrating Lean tools and functionalities from the design phase, thereby reducing the need to apply them during the use phase of future manufacturing systems. This implies a change of mindset;instead of reacting to problems as they arise and then implementing Lean to remedy them, companies should proactively integrate it from the design phase. However, trying to integrate several Lean tools and functionalities into the design of a production system to satisfy multiple performance criteria can generate contradictions. For this reason, we propose a new methodology: Lean Parameter Integration Matrix (LPIM), which can be used to resolve the different types of problems. LPIM contains a set of generalized Lean parameters extracted from the Lean tools most used in companies. It allows the simultaneous identification of technical and physical contradictions that may arise from the integration of multiple Lean tools and their functionalities, and provides guidance for their resolution, using the principles of TRIZ methodology for resolving technical and physical contradictions.

关键词： Lean parameters Inventive Design Production system

来源：评论

学校读者我要写书评

暂无评论

Enhancing Cosmetic Supply Chain Efficiency Through Demand Forecasting Using Machine Learning 24th

Enhancing Cosmetic Supply Chain Efficiency Through Demand Fo...

引用

24th International TRIZ Future Conference

作者： Zineb, Nafi Rachid, Benmoussa Fatine, Elharouni Cadi Ayyad Univ Natl Sch Appl Sci Marrakech LISA Lab Ave Abdelkrim Khattabi Marrakech 40000 Morocco

ISBN: (纸本)9783031759253;9783031759239;9783031759222

The cosmetic industry is characterized by its dynamic nature, influenced by ever-changing consumer preferences and trends. In this context, accurate demand forecasting plays a pivotal role in optimizing the cosmetic supply chain. There is a lack of comprehensive research on the applicability and effectiveness of various demand forecasting techniques within the cosmetic supply chain, considering seasonality as a factor. This paper explores the existing literature on demand forecasting within the cosmetic industry, emphasizing the significance of predictive analytics and advanced forecasting models. Through a case study of real-world data on a cosmetic product, this research assesses the applicability and effectiveness of various forecasting algorithms using machine learning. This study provides a comprehensive understanding of the challenges faced by cosmetic supply chains in demand forecasting, identifies key factors influencing demand and their impact on forecasting accuracy, and evaluates the effectiveness of different forecasting techniques in the context of cosmetic products.

关键词： Cosmetic industry Demand forecasting Machine learning Seasonality

来源：评论

学校读者我要写书评

暂无评论

Automated and Improved Detection of Cyber Attacks via an Industrial IDS Probe 1

引用

38th International Conference on information Security and Privacy Protection (SEC)

作者： Toure, Almamy Imine, Youcef Delot, Thierry Gallais, Antoine Semnont, Alexis Giraudo, Robin Univ Polytech Hauts de France INSA Hauts de France LAMIH CNRSUMR 8201 F-59313 Valenciennes France IBM Secur Paris France

ISBN: (数字)9783031563263

ISBN: (纸本)9783031563287;9783031563263;9783031563256

Network flow classification allows to distinguish normal flows from deviant behaviors. However, given the diversity of the approaches proposed for intrusion detection via IDS probes, an adequate fundamental solution is required. Indeed, most of existing solutions address a specific context which does not allow to assess the efficiency of the proposed models on a different context. Therefore, we propose in this paper an approach for malicious flow detection based on One Dimensional Convolutional Neural Networks (1D-CNN). Our solution extracts features based on the definition of network flows. Thus, it can be common to any network flow classification model. This feature engineering phase is coupled to CNN's feature detector in order to provide an efficient classification approach. To evaluate its performance, our solution has been evaluated on two different datasets (a recent dataset extracted from a real IBM industrial context and the NSL-KDD dataset that is widely used in the literature). Moreover, a comparison with existing solutions has been provided to NSL-KDD dataset. Attacks in both datasets have been defined using the globally-accessible knowledge base of adversary tactics and techniques MITRE framework. The evaluation results have shown that our proposed solution allows an efficient and accurate classification in both datasets (with an accuracy rate of 94% at least). Moreover, it outperforms existing solutions in terms of classification metrics and execution time as well.

关键词： Intrusion Detection System Deep Learning MITRE ATT&CK Features Engineering Cyber attack

来源：评论

学校读者我要写书评

暂无评论

Online Reinforcement Learning for Designing Automotive Hybrid Assembly Sequence: A Task Clustering-Guided Approach 1

引用

20th International Conference on Artificial Intelligence Applications and Innovations (AIAI)

作者： Elhoud, Anass Piranda, Benoit De Matos, Raphael Bourgeois, Julien Univ Franche Comte CNRS FEMTO ST Inst Montbeliard France Forvia Clean Mobil R&D Ctr Bavans France

ISBN: (数字)9783031632150

ISBN: (纸本)9783031632174;9783031632150;9783031632143

This paper proposes a novel approach that integrates hierarchical clustering (HC) into reinforcement learning algorithms to address the simultaneous resolution of hybrid assembly line balancing (ALB-1) and assembly sequence planning (ASP). The proposed approach attempts to capture implicit constraints, derived from accumulated experiences and industry-specific knowledge, enhancing the adaptability of solutions. The inclusion of the clustering algorithm enhances the decision-making process of the reinforcement learning agent through the introduction of a problem-specific similarity reward. To evaluate the effectiveness of the approach, three adapted methods are implemented and tested: QL-HC, SARSA-HC, and SARSA without HC. The experimental results demonstrate the superior performance of our novel approach compared to traditional techniques, with SARSA-HC exhibiting particularly impressive results with 82% of similarity to the expert's sequence. This approach offers increased flexibility, adaptability, and the capacity to incorporate expert knowledge and lessons learned from prior assembly line design experiences and proves to be a valuable tool for enhancing efficiency and reducing time-to-market in manufacturing settings.

关键词： Reinforcement Learning Hierarchical Clustering Assembly Sequence Design Assembly Line Balancing One Piece Flow Optimization

来源：评论

学校读者我要写书评

暂无评论

Inventive Design for Decision-Making: Cutting Costs and Reducing Carbon Footprint in Buildings Refurbishment 24th

Inventive Design for Decision-Making: Cutting Costs and Redu...

引用

24th International TRIZ Future Conference

作者： Chibane, Hicham Bogenstutter, Ulrich Houssin, Remy Coulibaly, Amadou Slim, Rabih Chalkidis, Stylianos CSIP ICUBE INSA Strasbourg 24 Bd Victoire F-67084 Strasbourg France Mainz Univ Appl Sci Holzstr 36 D-55116 Mainz Germany

ISBN: (纸本)9783031759253;9783031759239;9783031759222

With the planet facing escalating degradation due to mass production and increasing carbon emissions and waste, the buildings sector is at the core of innovation to build or optimize existing buildings, particularly in terms of adopting the most appropriate technologies, considering user behavior, and reducing carbon emissions. This research emphasizes the significance of a comprehensive and inventive approach in addressing the challenges of contemporary building sector practices. Using the Inventive De-sign Methodology (IDM), we propose a decision-support method for an evaluation tool for simulating and calculating the life-cycle costs, energy efficiency, and environmental impact of buildings. This tool is named NUKOSI RE. TRIZ is combined with the Design of Experiments Analysis to identify the most critical parameters of NUKOSI RE and avoid compromises between them. By better understanding the relationships (contradic-tions) among various parameters and recognizing the limitations of current models, we can help decision-makers pave the way for more effective and sustainable construction measures in the future.

关键词： Inventive design Buildings construction cost energy consumption Carbon footprint

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500页 << < 17 18 19 20 21 22 23 24 25 26 > >>

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：