检索结果-内蒙古大学图书馆

2nd IEEE International conference on Networking and communications, ICNWC 2024

作者： Vigneshwaran, P. Maranco, M. Ivaturi, Kashyapa Abhiram Takur, Purab Acharya University Department of Computer Science and Engineering Karakul Bukhara Uzbekistan SRM Institute of Science and Technology School of Computing Faculty of Engineering and Technology Department of Networking and Communications Chengalpattu Kattankulathur603203 India

ISBN: (纸本)9798350365269

Biometric authentication systems have become increasingly popular due to their convenience and perceived security benefits. However, traditional biometric modalities such as fingerprint recognition are vulnerable to spoofing attacks, where fake fingerprints can be used to deceive the system. In this paper, we propose PulsePrint, a novel biometric authentication solution that enhances security by incorporating real-time pulse detection alongside fingerprint recognition. By leveraging the unique pulsatile nature of blood flow in the fingertip, PulsePrint adds an additional layer of authentication, making it significantly more difficult for attackers to spoof fingerprints. We present the design and implementation of the PulsePrint system, detailing the integration of pulse detection algorithms with existing fingerprint recognition technologies. Furthermore, we evaluate the performance of PulsePrint through extensive experimentation, including testing against various spoofing techniques and benchmarking against conventional fingerprint recognition systems. Our results demonstrate that PulsePrint offers robust protection against fingerprint spoofing attacks while maintaining user convenience and real-time authentication speed. Overall, PulsePrint represents a promising advancement in biometric security, offering enhanced protection for applications requiring reliable and secure authentication. © 2024 IEEE.

关键词： Authentication

来源：评论

学校读者我要写书评

暂无评论

Research on the detection and analysis of weak signals with low SNR based on the Welch algorithm 24

Research on the detection and analysis of weak signals with ...

引用

2nd International conference on Communication Networks and Machine Learning, CNML 2024

作者： Wu, Bin Zhang, Wanqing Zhang, Jun Yu, Jing Huangfu, Taoyu Hebei Key Laboratory of Marine Perception Network and Data Processing School of Computer and Communication Engineering Northeastern University at Qinhuangdao Hebei Qinhuangdao China Southeast University Jiangsu Nanjing China

ISBN: (纸本)9798400711688

Submarines are vital for military defense and national security in strategic communication systems. Power Spectral Density (PSD) characterizes signal spectrum frequency dependence and is crucial for analyzing broadband random signals. This study proposes a simplified PSD estimation method using the Welch algorithm for detecting weak signals in noisy environments, particularly in submarine communications. MATLAB simulations demonstrate that the Welch algorithm with a Blackman window function and 512-point overlap improves variance performance and resolution, especially in low signal-to-noise ratio conditions. The results underscore the algorithm’s effectiveness in enhancing signal detection in submarines. © 2024 Copyright held by the owner/author(s).

关键词： MATLAB

来源：评论

学校读者我要写书评

暂无评论

proceedings of 2024 2nd International conference on Artificial Intelligence, Systems and Network security, AISNS 2024

Proceedings of 2024 2nd International Conference on Artifici...

引用

2nd International conference on Artificial Intelligence, Systems and Network security, AISNS 2024

ISBN: (纸本)9798400711237

The proceedings contain 57 papers. The topics discussed include: water quality pH prediction study based on improved Ceemdan and RLNNA;research on the military application and development suggestions of artificial intelligence;vision-based leader-follower formation control for mobile robots;research and application of e-commerce marketing fraud detection method based on graph neural network;machine learning-based income inequality prediction: a case study;an experimental study of the tones of Guangxi Fu Yang official dialect based on computer technology;significance target detection based on improved pool net;research on profit prediction of backup clamps for conductors and ground wires in transmission line engineering based on machine learning;and interactive exhibition design and application of museums under virtual simulation technology.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Smart Wildlife security: Fog-Powered Video Compression for Cloud Efficiency 2

Smart Wildlife Security: Fog-Powered Video Compression for C...

引用

2nd IEEE International conference on Networking and communications, ICNWC 2024

作者： Hore, Shayan Achari, Silpi Kartheek Pradeep, Chinta Deepa Thilak, K. SRM Institute of Science and Technology Dept of Networking and Communications Chengalpet Kattankulathur India

ISBN: (纸本)9798350365269

To address the pressing issue of wild animal incursions in rural areas, we propose an inventive solution to safeguard local communities, the project integrates fog computing and smart video compression. The system records continuous 24-hour video footage, employing intelligent algorithms to detect and transmit only relevant segments to the cloud. This reduction in data load enhances efficiency and conserves resources. The process generates a detailed document report, offering comprehensive documentation of wildlife activities for effective monitoring and analysis. The integration of these technologies not only improves security measures but also contributes to sustainable, resource-efficient solutions in wildlife protection. © 2024 IEEE.

关键词： Image compression

来源：评论

学校读者我要写书评

暂无评论

Enhancing security: A Hybrid Encryption Algorithm for Effective Key Generation 2

Enhancing Security: A Hybrid Encryption Algorithm for Effect...

引用

2nd International conference on Recent Trends in Microelectronics, Automation, Computing, and communications Systems, ICMACC 2024

作者： Jacob, Jeevan John Kiran, P.S. Shenoy, Jaigovind B Basavaraju, Sagar Amrita School of Computing Department of Computer Science and Engineering Bengaluru India Amrita School of Engineering Department of Electronics and Communication Engineering Bengaluru India

ISBN: (纸本)9798350366570

The abstract Data security is of most importance, in the present day- the introduction of high-level wireless communication channels has led to generation and transfer of massive amounts of data. Data security must keep up with it. Data breach may cause disastrous outcomes. Previously, hardware security modules (HSM) were used to perform cryptographic actions- storing keys and for authentication. This is no longer feasible as HSMs are physical devices and become inconvenient to carry around all the time. The unavailability of HSM poses a serious security threat (for cryptographic keys). This paper aims at a novel software solution that compensates for hardware. As the algorithm focuses on securing keys used for encryption. It may be referred to as key security scheme (KSS). The paper proposes a way to generate keys instead of storing it and assumes performing of cryptographic actions on the available hardware in the system. The proposed method can secure data, both in transit and while at rest. © 2024 IEEE.

关键词： Encryption algorithms

来源：评论

学校读者我要写书评

暂无评论

Camel: E2E Verifiable Instant Runoff Voting without Tallying Authorities 19

Camel: E2E Verifiable Instant Runoff Voting without Tallying...

引用

19th acm Asia conference on computer and communications security (acm AsiaCCS)

作者： Harrison, Luke Bag, Samiran Hao, Feng Univ Warwick Warwick England

ISBN: (纸本)9798400704826

Instant Runoff Voting (IRV) is one example of ranked-choice voting. It provides many known benefits when used in elections, such as minimising vote splitting, ensuring few votes are wasted, and providing resistance to strategic voting. However, the voting and tallying procedures for IRV are much more complicated than those of plurality and are both error-prone and tedious. Many automated systems have been proposed to simplify these procedures in IRV. Some of these also employ cryptographic techniques to protect the secrecy of ballots and enable verification of the tally. Nearly all of these cryptographic systems require a set of trustworthy tallying authorities (TAs) to perform the decryption of votes and/or running of mix servers, which adds significant complexity to the implementation and election management. We address this issue by proposing Camel: an E2E verifiable solution for IRV that requires no TAs. Camel employs a novel representation and a universally verifiable shifting procedure for ballots that facilitate the elimination of candidates as required in an IRV election. We combine these with a homomorphic encryption scheme and zero-knowledge proofs to protect the secrecy of the ballots and enable any party to verify the well-formedness of the ballots and the correctness of the tally in an IRV election. We examine the security of Camel and prove it maintains ballot secrecy by limiting the learned information (namely the tally) against a set of colluding voters.

关键词： E2E verifiability Self-enforcing e-voting Instant Runoff Voting

来源：评论

学校读者我要写书评

暂无评论

Quantum-Safe Account Recovery for WebAuthn 19

Quantum-Safe Account Recovery for WebAuthn

引用

19th acm Asia conference on computer and communications security (acm AsiaCCS)

作者： Stebila, Douglas Wilson, Spencer Univ Waterloo Waterloo ON Canada

ISBN: (纸本)9798400704826

WebAuthn is a passwordless authentication protocol which allows users to authenticate to online services using public-key cryptography. Users prove their identity by signing a challenge with a private key, which is stored on a device such as a cell phone or a USB security token. This approach avoids many of the common security problems with password-based authentication. WebAuthn's reliance on proof-of-possession leads to a usability issue, however: a user who loses access to their authenticator device either loses access to their accounts or is required to fall back on a weaker authentication mechanism. To solve this problem, Yubico has proposed a protocol which allows a user to link two tokens in such a way that one (the primary authenticator) can generate public keys on behalf of the other (the backup authenticator). With this solution, users authenticate with a single token, only relying on their backup token if necessary for account recovery. However, Yubico's protocol relies on the hardness of the discrete logarithm problem for its security and hence is vulnerable to an attacker with a powerful enough quantum computer. We present a WebAuthn recovery protocol which can be instantiated with quantum-safe primitives. We also critique the security model used in previous analysis of Yubico's protocol and propose a new framework which we use to evaluate the security of both the group-based and the quantum-safe protocol. This leads us to uncover a weakness in Yubico's proposal which escaped detection in prior work but was revealed by our model. In our security analysis, we require the cryptographic primitives underlying the protocols to satisfy a number of novel security properties such as KEM unlinkability, which we formalize. We prove that well-known quantum-safe algorithms, including CRYSTALS-Kyber, satisfy the properties required for analysis of our quantum-safe protocol.

关键词： account recovery FIDO2 post-quantum quantum-safe WebAuthn

来源：评论

学校读者我要写书评

暂无评论

Securing Smart Networks and Privacy Intrusion Detection System Utilizing Blockchain and Machine Learning 2

Securing Smart Networks and Privacy Intrusion Detection Syst...

引用

2nd IEEE International conference on Networking and communications, ICNWC 2024

作者： Gnana Jeslin, J. Uma Maheswari, G. Amutha, S. Vargheese, M. Rajeshkumar, C. Valarmathi, S. RMK College of Engineering and Technology Department of Computer Science and Engineering Pudhuvayal Tamil Nadu Chennai India Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India PSN College of Engineering and Technology Department of Computer Science and Engineering Tamil Nadu Tirunelveli India Sri Krishna College of Technology Department of Information Technology Tamil Nadu Coimbatore India

ISBN: (纸本)9798350365269

The digital landscape is facing threats from malicious actors, including malware, phishing, ransomware, and distributed denial-of-service attacks. This article introduces the Hybrid Intelligent Random Forest (HIRF) method, which combines machine learning and blockchain technology to detect anomalies in digital environments. HIRF has demonstrated exceptional accuracy rates in identifying and forecasting cyber-attacks, achieving 99.53% for the KD99 dataset and 99.53% for the UNBS-NB 15 dataset. It also minimizes false positives and negatives, enhancing network efficiency. HIRF's scalability and performance effectiveness make it suitable for government and business sectors, where it can enhance security measures and protect digital infrastructure against evolving cyber threats. Its potential applications extend to government and business sectors, where it can be instrumental in bolstering security measures and fortifying digital infrastructure against cyber threats. © 2024 IEEE.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

proceedings - 2nd International conference on Advancement in Computation and computer Technologies, InCACCT 2024

Proceedings - 2nd International Conference on Advancement in...

引用

2nd International conference on Advancement in Computation and computer Technologies, InCACCT 2024

ISBN: (纸本)9798350371314

The proceedings contain 164 papers. The topics discussed include: watch product categorization through Conv2D sequential covolutional neural network with truncated normal kernel initializer;tweeting the blues: leveraging NLP and classification models for depression detection;transfer learning empowered multi-class classification of kidney diseases: a deep learning approach;post-quantum cryptography for multiple high-resolution millimeter wave images for enhanced security in IOT networks;performance analysis of query-based image tagging model in CBIR;enhancing network security: leveraging isolation forest for malware detection;cryptoRAN: a review on cryptojacking and ransomware attacks W.R.T. banking industry - threats, challenges, & problems;RIS: intelligent responsive interface solution, a promising desktop assistant for differently-abled;and IoT-enabled medicine dispenser for pills and liquid medication.

关键词：

来源：评论

学校读者我要写书评

暂无评论

EffTEE: Efficient Image Classification and Object Detection on Mobile Devices Using Trusted Execution Environments

引用

IEEE Access 2025年 13卷 31423-31441页

作者： Hu, Bin You, Junyong Huang, Kuan Xu, Meng Liu, Dan Ma, Sugang Kean University Department of Computer Science and Technology UnionNJ07083 United States NORCE Norwegian Research Centre Bergen5008 Norway Kean University Department of Management UnionNJ07083 United States Xi'an University of Posts and Telecommunications School of Computer Science and Technology Xi'an710122 China

Deep neural networks (DNNs) play a crucial role in image classification and object detection, with applications in autonomous driving, security, Unmanned AerialVehicle (UAV) navigation, and robotics. Ensuring secure execution on mobile devices is challenging due to the sensitivity of input data and DNN architectures. Hardware-based Trusted Execution Environments (TEEs), such as ARM TrustZone, offer security but face resource and performance limitations when handling full-scale DNNs. This work introduces EffTEE, a security framework that enables efficient DNN execution within mobile TEEs. EffTEE employs dynamic suppression to prune unimportant neurons, foundational neuron restructuring to optimize memory usage, and dynamic slicing for effective model partitioning. Experimental results show that EffTEE reduces inference time by 2−60× while maintaining accuracy comparable to existing secure DNN methods. These findings demonstrate EffTEE's potential for secure and efficient DNN deployment in resource-constrained environments. © 2025 The Authors.

关键词： Unmanned aerial vehicles (UAV)

来源：评论

学校读者我要写书评

暂无评论

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：

请选择收藏分类：

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

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：