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

4,997 篇 会议
280 册 图书
88 篇 期刊文献

馆藏范围

5,365 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,884 篇 工学
- 2,574 篇 计算机科学与技术...
- 1,725 篇 软件工程
- 970 篇 信息与通信工程
- 371 篇 电气工程
- 307 篇 控制科学与工程
- 182 篇 网络空间安全
- 126 篇 动力工程及工程热...
- 125 篇 电子科学与技术（可...
- 120 篇 安全科学与工程
- 111 篇 机械工程
- 102 篇 生物工程
- 70 篇 建筑学
- 69 篇 仪器科学与技术
- 54 篇 生物医学工程（可授...
- 45 篇 土木工程
- 43 篇 交通运输工程
617 篇 理学
- 371 篇 数学
- 118 篇 生物学
- 105 篇 系统科学
- 100 篇 统计学（可授理学、...
- 84 篇 物理学
488 篇 管理学
- 337 篇 管理科学与工程(可...
- 189 篇 图书情报与档案管...
- 162 篇 工商管理
242 篇 法学
- 166 篇 法学
- 82 篇 社会学
78 篇 医学
- 65 篇 临床医学
- 63 篇 基础医学(可授医学...
- 51 篇 公共卫生与预防医...
62 篇 经济学
- 62 篇 应用经济学
41 篇 军事学
17 篇 农学
16 篇 教育学
12 篇 文学
1 篇 艺术学

主题

499 篇 security
355 篇 wireless sensor ...
309 篇 computer network...
253 篇 protocols
247 篇 computer archite...
216 篇 intrusion detect...
213 篇 authentication
210 篇 computer communi...
200 篇 ip networks
189 篇 computer crime
171 篇 servers
165 篇 computer securit...
158 篇 information secu...
156 篇 network security
151 篇 internet of thin...
151 篇 distributed comp...
147 篇 computer science
147 篇 cryptography
142 篇 computational mo...
142 篇 internet

机构

25 篇 shandong provinc...
21 篇 key laboratory o...
13 篇 shandong fundame...
12 篇 chitkara univers...
10 篇 information syst...
9 篇 shandong enginee...
9 篇 king saud univer...
9 篇 school of comput...
9 篇 institute of inf...
8 篇 school of comput...
8 篇 department of co...
8 篇 department of co...
8 篇 department of co...
7 篇 key laboratory o...
7 篇 school of comput...
7 篇 department of la...
7 篇 hannam universit...
6 篇 shandong enginee...
6 篇 chinese acad sci...
6 篇 department of el...

作者

17 篇 eyas el-qawasmeh
11 篇 tai-hoon kim
9 篇 hammoudeh mohamm...
9 篇 dominik ślęzak
9 篇 obaidat mohammad...
9 篇 igor kotenko
8 篇 isaac woungang
8 篇 azizah abd manaf
8 篇 mukaddim pathan
7 篇 osvaldo gervasi
7 篇 yanmin zhu
7 篇 mohammad s. obai...
7 篇 barolli leonard
7 篇 lin zhang
7 篇 jasni mohamad za...
7 篇 wei wang
6 篇 klaus wehrle
6 篇 zarai faouzi
6 篇 yunhao liu
6 篇 shahid raza

语言

5,191 篇 英文
143 篇 其他
39 篇 中文
1 篇 葡萄牙文

检索条件"任意字段=International Conference on Security in Computer Networks and Distributed Systems, SNDS 2012"

共 5365 条记录，以下是641-650 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：

Classification of DDoS in Software-Defined IoT networks using Hybrid Feature Selection Technique with DL 3

Classification of DDoS in Software-Defined IoT Networks usin...

引用

3rd international conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2022

作者： Muthulakshmi, K. Kalaivani, K. Uma, J. Primya, T. Sivakumaran, A.R. Selvapandian, D. ECE Sri Krishna College of Technology Coimbatore India SNS College of Engineering Department of Computer Science and Design Coimbatore India Amrita School of Engineering Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Coimbatore India KPR Institute of Engineering and Technology Department of Computer Science and Engineering Coimbatore India Malla Reddy Engineering College for Women Department of Information Technology Secunderabad India Karpagam Academy of Higher Education Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9781665456647

A new network technology called Software Defined Networking (SDN) enables centralised network management. The SDN's potential features improve network security and make it easier to create threat detection systems through software programmes that make use of open APIs. However, the new technology generates dangers and security issues that are not present in the traditional networks that are now in use. One of the most frequent assaults that can stop the operation of the network and render the majority of network services inaccessible to customers is a distributed denial of service attack (DDoS). Because so many network variables are considered and machine learning-based anomaly detection methods must be used, it is still difficult to identify DDos assaults on SDN setups effectively. In order to analyse the most thorough significant elements of DDoS attacks in SDN networks, this research planned to apply feature selection methods Information Gain (IG), Random Forest (RF), and Embedded feature model. The accuracy of the attack detection system will be increased, and the incidence of false alarms will be decreased, by using the most pertinent features. To address the issue of DDoS attacks in SDNs, a Deep Learning (DL) technique based on Convolutional Neural Network (CNN) is also put out. The study analyses and evaluates InSDN, measures the effectiveness of the suggested DL model on the SDN controller, and tests the performance of the network in terms of network throughput and end-To-end latency. The outcomes demonstrate that the DL technique effectively detects DDoS attacks in SDN settings without materially affecting controller performance. © 2022 IEEE.

关键词： Denial-of-service attack

来源：评论

学校读者我要写书评

暂无评论

Integrating Blockchain and VANET for Privacy-Preserving and Authentication

Integrating Blockchain and VANET for Privacy-Preserving and ...

引用

international conference on ent Computing and Control systems (ICICCS)

作者： Sivagami A Sachin A Mohammad Arshath A Kiruthika N Department of Computer Science and Engineering Karpagam Academy of Higher Education Coimbatore India

ISBN: (数字)9798331512088

ISBN: (纸本)9798331512095

Apart from safeguarding the cars' identity privacy within Vehicular Ad-hoc networks (VANETs), privacy-preserving authentication is considered the primary protection against potential attacks. Unfortunately, the current authentication techniques have several shortcomings, including a significant overhead to validate messages and vehicle identifies where a large burden to revoke certificates, and non-transparency of the Trusted Authorities (TAs). Researchers present a Blockchain-based Privacy-Preserving Authentication technique. The semi-trusted authority's acts are transparent and verifiable which permanently and irreversibly stores all certificates and transactions in the blockchain. However, the practical driving scenarios (high speed or high message volume under congestion) remain a challenge when it comes to using such a blockchain for authentication. To offer distributed authentication method independent of revocation list, researchers have added the authentication data structure to the traditional blockchain topology. It allows a vehicle to employ numerous certificates to achieve conditional privacy. The linkability among certificates and real identity is preserved on the blockchain that can only be accessed in the event of a dispute. Scholars assess the efficacy and validity for every entity current systems, individual cars can handle the distributed authentication in less than 1 ms, satisfying the real-time requirement and needing a large reduction in processing time and storage.

关键词： Privacy Protocols Authentication Vehicular ad hoc networks Real-time systems Blockchains Topology security Automobiles Protection

来源：评论

学校读者我要写书评

暂无评论

Mobile Edge Computing Offload Strategy Based on Energy Aware

Mobile Edge Computing Offload Strategy Based on Energy Aware

引用

2021 international conference on Network Communication and Information security, ICNCIS 2021

作者： Liao, Kangkang Yang, Jun Miao, Li School of Information Engineering Ningxia University Yingchuan Ningxia750021 China

ISBN: (数字)9781510653283

ISBN: (纸本)9781510653276

Mobile edge computing (MEC) is an emerging paradigm to meet the growing computing needs from mobile applications. By offloading computing intensive mobile application tasks to MEC server, users can experience low latency, low energy consumption and high reliability services. However, due to the limited battery capacity on the device, task execution will be interrupted when the battery energy is exhausted. To solve the above problems, a task offloading strategy based on energy aware is proposed. In the scenario of multi-user and single server, the total queuing cost in the process of mobile device requesting service is analyzed by using queuing theory. Then, the mathematical model of the scene is established, and the linear weighting and objective function of time delay and energy consumption of mobile device are designed. In order to optimize the objective function and obtain the optimal solution, an improved genetic algorithm (Ga Energy Aware, GEA) is proposed. Simulation results show that the algorithm can effectively reduce the power consumption and task execution delay of mobile device. © 2022 SPIE

关键词： Mobile devices Computing systems Genetic algorithms computer simulations distributed computing Reliability systems modeling computer networks

来源：评论

学校读者我要写书评

暂无评论

Cognitive Twins for Predictive Maintenance and security in IoT Software systems

Cognitive Twins for Predictive Maintenance and Security in I...

引用

Mobile networks and Wireless Communications (ICMNWC), IEEE international conference on

作者： B. Venkata Swamy Pareshwar Prasad Barmola Senthil Thangavel S. Kaliappan Hardik Patel Girish Abhyankar Department of Chemistry B V Raju Institute of Technology Medak India Department of Computer Science & Engineering Graphic Era Deemed to be University Dehradun India Distributed Systems Cloud Solutions & Machine Learning Expert Paypal Inc California USA Division of Research and Development Lovely Professional University Phagwara India Department of Electronics & Communication Engineering Faculty of Engineering and Technology Parul institute of Engineering and Technology Parul University Post Limda India Faculty of Law Symbiosis Law School Symbiosis International (Deemed University) Pune India

ISBN: (数字)9798331528348

ISBN: (纸本)9798331528355

The increasing complexity and interconnectedness of Internet of Things (IoT) software systems necessitate the development of intelligent solutions for predictive maintenance and security. Conventional techniques often fail to provide real-time insights and proactive responses due to the diverse and dynamic nature of IoT environments. To address these challenges, cognitive technologies offer promising avenues for enhancing the operational efficiency and security of IoT networks. This paper introduces Cognitive Twins, an AI-driven framework designed to optimize predictive maintenance and strengthen security in IoT software systems. Cognitive Twins leverage advanced machine learning models and real-time data streams to create dynamic digital replicas of IoT devices and software components. The framework employs a combination of deep learning-based anomaly detection, reinforcement learning for proactive maintenance scheduling, and natural language processing (NLP) for automated security log analysis. By continuously learning from device interactions and evolving threat patterns, Cognitive Twins predict potential failures and detect security threats before they occur, enabling real-time decision-making and automated responses. Cognitive Twins were evaluated on a large-scale IoT network, consisting of 500 nodes across multiple application domains. The framework achieved a predictive maintenance accuracy of 96.8%, reducing downtime by 35% compared to traditional models. In security applications, Cognitive Twins identified cyber threats with a detection rate of 98.3%, lowering the false positive rate to 1.5%.

关键词： Biological system modeling Decision making Reinforcement learning Software systems Real-time systems Natural language processing Maintenance Internet of Things security Predictive maintenance

来源：评论

学校读者我要写书评

暂无评论

A Proposed distributed Off-Chain Medical Health Record Management Using Blockchain Technology and IPFS for HEIs

A Proposed Distributed Off-Chain Medical Health Record Manag...

引用

Intelligent Communication Technologies and Virtual Mobile networks (ICICV), international conference on

作者： Michael Marvin P. Cruz Ken M. Balogo Chester L. Cofino Dexter G. Dandan College of Computer Studies Central Philippines State University San Carlos Campus San Carlos City Negros Occidental Philippines College of Computer Studies Central Philippines State University Kabankalan City Negros Occidental Philippines

The management and security of medical health records are of utmost importance in a higher education institution. Traditional centralized methods of managing and preserving medical records are prone to single points of failure, privacy issues, and other weaknesses. As healthcare record management becomes increasingly digitized and interconnected, institutions that embrace innovative solutions stand to gain acompetitive edge in advancing healthcare outcomes within their communities. The emergence of blockchain and decentralized technologies such as InterPlanetary File System (IPFS) presents an opportunity to address these issues by enabling a more secure and transparent system for managing medical health records. The authors propose an IPFS-based distributed off-chain solution for managing medical health records in a higher education institution (HEI) settings. The suggested solution tries to alleviate the drawbacks of the current record management systems of the institution by utilizing IPFS, a decentralized and content-addressable network. To ensure data integrity, immutability, and safe access management, the system architecture integrates IPFS with blockchain technology. The main elements and procedures for the proposed model are covered in this paper. The study work adds to the body of knowledge by introducing a novel method to HEIs for managing distributed off-chain medical records, which may be able to address the problems with centralized solutions. The advancement of safe, effective and ethical medical record management systems in the institution can be facilitated by additional research and development in this field.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Adaptive Dynamic Adversarial Training with Real-Time Feedback in 6G

Adaptive Dynamic Adversarial Training with Real-Time Feedbac...

引用

international conference on distributed Computing in Sensor systems (DCOSS)

作者： Ahmed Hakami Niki Pissinou Mohammed Rajhi School of Computing and Information Sciences Florida International University Miami FL USA Faculty of Computer Science & Information Technology Jazan University Jazan Saudi Arabia

ISBN: (数字)9798350369441

ISBN: (纸本)9798350369458

The emergence of 6G communications brings forth both unprecedented opportunities and security challenges. This work introduces a novel method, dynamic adversarial training incorporating real-time feedback (DAT-RTF), to bolster the resilience of machine learning models in 6G mmWave beamforming prediction against adversarial attacks. By enabling models to adapt to new threats, DAT-RTF maintains their robustness. This dynamic approach, leveraging continuous feedback from the network, adjusts and refines defense mechanisms to remain effective against a range of adversarial strategies. We tackle the issues of resource demand and overfitting, offering strategies to enhance performance without sacrificing security. Our method represents a significant advancement in protecting 6G networks from evolving adversarial threats.

关键词： 6G mobile communication Training Adaptation models Array signal processing Machine learning Predictive models Real-time systems

来源：评论

学校读者我要写书评

暂无评论

Recognition of Attacks on IoT Devices and Their Prevention Using Deep Learning Methods

Recognition of Attacks on IoT Devices and Their Prevention U...

引用

Blockchain and distributed systems security (ICBDS), IEEE international conference on

作者： Bhupender Singh Rawat Animesh Srivastava Gulbir Singh Vivek Bhatnagar Shiv Ashish Dhondiyal College of Smart Computing COER University Roorkee Department of Computer Science & Engineering Graphic Era Hill University Dehradun MMICT&BM M.M. (Deemed to be University) Ambala Haryana India MMICT&BM(MCA) M.M. (Deemed to be University) Ambala Haryana Department of Computer Science & Engineering Graphic Era (Deemed to be University) Dehradun

The Internet of Things (IoT) has caused a revolution in many different industries by making it possible for connected smart devices to communicate with one another effortlessly. However, due to the growing number of potential access points for assaults, this interconnectivity also presents substantial issues for the maintenance of information security. This research article investigates the application of deep learning methods to identify and prevent attacks against the IoT. We give a comprehensive examination of ANN and DNN based on deep learning to improve the security and resilience of Internet of Things networks. The effectiveness of the suggested model is evaluated in this paper through tests conducted on data taken from the real world, revealing the ability of the model to protect IoT devices from being compromised by cyberattacks. Accuracy, precision, recall, and f1 score are the measures of evaluation that are utilized in the process of comparing and contrasting performance. The system passed the DNN accuracy test with a score of 99%.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Enhancing Intrusion Detection systems with Digital Twin Technology for Cyber-Physical security

Enhancing Intrusion Detection Systems with Digital Twin Tech...

引用

distributed systems, computer networks and Cybersecurity (ICDSCNC), international conference on

作者： S. P. Santhoshkumar P. Sakthivel A. Seetha Manikandan R Mukesh Soni Department of Computer Science and Engineering School of Computing Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India Department of Information Technology Sona College of Technology Salem India Department of Information Technology S.A. Engineering College Chennai India Department of CSE Nandha Engineering College (Autonomous) Erode India Dr. D. Y. Patil Vidyapeeth Pune Dr. D. Y. Patil School of Science & Technology Tathawade Pune India

ISBN: (数字)9798350375442

ISBN: (纸本)9798350375459

The need for strong security measures to ward off complex cyber-attacks has grown in tandem with the exponential growth of cyber-physical systems (CPS) and Internet of Things (IoT) devices. This paper lays forth a thorough plan to improve cyber-physical security by bolstering intrusion detection systems (IDS) with the use of digital twin technology (DTT). Virtual representations of physical systems, or "digital twins," allow for sophisticated modelling, predictive analytics, and real-time monitoring. Incorporating DTT with IDS allows for proactive and dynamic threat detection and response in this system. Datasets generated by an ICS testbed— a device designed to monitor storage reservoir water levels and turbulence—form the basis of the suggested architecture. The SCADA system uses a number of indicators to assess the efficacy of several machine learning (ML) models that are used to detect and categorize intrusions. The findings show that ML approaches are great at detecting intrusions, with low false positive rates and high detection rates. Also, the IDS can now identify more complex and unique assaults because to DTT's incorporation, which enables continuous system learning and adaptability. An important step forward in cyber-physical security, this research shows that digital twins have the ability to change intrusion detection systems (IDS) from reactive to proactive. The framework offers a durable and scalable approach to safeguard vital infrastructures from ever-changing cyber threats, and its ramifications reach into a wide range of industrial applications. The integration of Digital Twin Technology (DTT) with Intrusion Detection systems (IDS) for cyber-physical security showed significant improvements in threat detection. Test results revealed a 40% increase in early intrusion detection accuracy compared to traditional IDS models. Additionally, proactive system adaptations through DTT reduced response time to potential threats by 25%, enhancing overall syste

关键词： Adaptation models Intrusion detection SCADA systems Predictive models Reservoirs Threat assessment Real-time systems Digital twins Internet of Things Integrated circuit modeling

来源：评论

学校读者我要写书评

暂无评论

A Way to Deduct the Attacks which is Anomaly in Nature in 5G networks with the Use of Machine Learning

A Way to Deduct the Attacks which is Anomaly in Nature in 5G...

引用

Innovative Sustainable Technologies for Energy, Mechatronics, and Smart systems (ISTEMS), international conference on

作者： Apoorva Joshi Kiran Lokesh Maney Shweta Loonkar Master of Computer Applications Noida Institute of Engineering & Technology Greater Noida Uttar Pradesh India Department of Management School of Mangement - UG JAIN (Deemed to be University) Karnataka India Department of ISME ATLAS SkillTech University Mumbai Maharashtra India

ISBN: (数字)9798350384246

ISBN: (纸本)9798350384253

A formidable task arises in addressing the constantly evolving challenges brought about by the growing threats to cybersecurity, the expanded attack surfaces brought about by the Internet of Things (IoT), increased network diversity, and the increasing prevalence of virtualization techniques and distributed architectures. In order to create an automated, flexible, and scalable network defence system, this paper presents the idea of software-defined security, or SDS. SDS takes use of recent developments in machine learning by using Convolutional neural networks, more commonly that are trained using Neural Architecture Look to detect anomalous network traffic. A complete defence system is intended for 5G networks by incorporating SDS into a system to detect intrusions. Experiments were carried out using a CNN to gather and analyse normal and abnormal network traffic in a computerised setting in order to support this assertion. The results show that the model is notably effective at correctly classifying harmless traffic and identifying abnormal traffic (96.4 %). This demonstrates how well network flow analysis can identify prevalent harmful attacks and offers a workable method for recognising malicious network data that is encrypted. SDS is essentially a viable approach that shows promise for strengthening networks against the changing cybersecurity environment and improving overall network security.

关键词： Visualization 5G mobile communication Machine learning Telecommunication traffic computer architecture Network security Internet of Things

来源：评论

学校读者我要写书评

暂无评论

6MID:Mircochain based Intrusion Detection for 6LoWPAN based IoT networks

6MID:Mircochain based Intrusion Detection for 6LoWPAN based ...

引用

12th international conference on Ambient systems, networks and Technologies (ANT) / 4th international conference on Emerging Data and Industry 4.0 (EDI40)

作者： Patel, Himanshu B. Jinwala, Devesh C. SV Natl Inst Technol Surat Comp Engn Dept Gujrat 395007 India

A blockchain is a decentralized, distributed, and often public, digital ledger system consisting of records called blocks, used to record transactions across many computers so that any involved block cannot be altered retroactively, without the alteration of all subsequent blocks. In literature, Blockchain is used as a medium to achieve trust between nodes in distributed autonomous systems like the Internet of Things(IoT). In IoT, resource-scarce, economical sensing devices are deployed in large to gain accuracy. Routing Protocol for Low Power and lossy network (RPL) is defined as the de facto standard for large-scale deployment. Due to wireless communication and resource constriend deployment, medium RPL is susceptible to many DOS attacks. This paper presents a space-efficient blockchain architecture viz. 6MID using Microchain. 6MID augments RPL to accommodate distributed ledger within resource-constrained 6LoWPAN devices and can be used to detect Blackhole attack. We also present a security analysis of the proposed framework in the context of IoT networks. (C) 2021 The Authors. Published by Elsevier B.V.

关键词： IoT RPL Blockchain Attack-mitigation certificate-less cryptography Blackhole Intrusion detection

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 << < 61 62 63 64 65 66 67 68 69 70 > >>

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：