Internet Technology Letters最新文献_第5页

Enhancing Cross-Domain Book Classification Through Caching-Enabled Networks and Transformer Technology 通过启用缓存的网络和变压器技术增强跨域图书分类

IF 0.9

Internet Technology Letters Pub Date : 2024-10-10 DOI: 10.1002/itl2.590

Qiang Li, Huaiyuan Zheng, Yulai Bao, Side Liu

{"title":"Enhancing Cross-Domain Book Classification Through Caching-Enabled Networks and Transformer Technology","authors":"Qiang Li, Huaiyuan Zheng, Yulai Bao, Side Liu","doi":"10.1002/itl2.590","DOIUrl":"https://doi.org/10.1002/itl2.590","url":null,"abstract":"<div>\u0000 \u0000 Book classification is a crucial task for libraries and a fundamental aspect of their service offerings. Cross-domain book classification, in particular, presents significant challenges due to the diversity and complexity of content across different genres and subjects. To tackle these challenges, a user-oriented strategy employing Transformer network (TN) is developed to fulfill the need for superior content quality and classification. Our proposed method leverages the self-attention mechanism of TN for precise feature extraction and classification, combining it with principal component analysis to ensure a comprehensive understanding of book content. This integration represents a technical innovation that enhances the model's ability to handle diverse datasets with improved accuracy and robustness. Our approach merges TN with caching-enabled networks (CEN) to enhance accuracy and robustness. Driven by the necessity for improved cross-domain classification, our strategy aims to standardize book classifications, thus improving user satisfaction. The primary actions encompass improved classification management, feedback systems, and evaluation frameworks. This work highlights the innovative fusion of TN and CEN, showcasing how these advanced techniques can significantly elevate the performance of library classification systems. Our work demonstrates that high-quality book classification can significantly improve library services and user experience. Furthermore, it aligns with the broader applications of CEN in emerging networking technologies, showing the potential for cutting-edge techniques to revolutionize library services.\u0000 </div>","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":"8 3","pages":""},"PeriodicalIF":0.9,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143688755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PIoT-oriented multi-target recognition of substation infrared images driven by deep learning 基于深度学习的变电站红外图像面向piot的多目标识别

IF 0.9

Internet Technology Letters Pub Date : 2024-10-03 DOI: 10.1002/itl2.573

Min Li, Tou Li, Xuan Zhang, Wei Zhang

引用次数: 0

IQL-OCDA: An intelligent Q-learning-based for optimal clustering and data-aggregation for wireless sensor networks IQL-OCDA：一种基于智能q学习的无线传感器网络最优聚类和数据聚合方法

IF 0.9

Internet Technology Letters Pub Date : 2024-10-03 DOI: 10.1002/itl2.572

Arwa N. Aledaily

引用次数: 0

A comparative analysis of diversity combining techniques for repetitive transmissions in time spreading SCMA systems 时扩SCMA系统中重复传输分集组合技术的比较分析

IF 0.9

Internet Technology Letters Pub Date : 2024-09-23 DOI: 10.1002/itl2.585

Oguz Ülgen, Tolga Kagan Tüfekci, Yalcin Sadi, Serhat Erkücük, Alagan Anpalagan, Tuncer Baykas

引用次数: 0

LINGPASS: An approach for multilingual passphrase generation by integrating English and Tamil LINGPASS：通过整合英语和泰米尔语生成多语言密码短语的方法

IF 0.9

Internet Technology Letters Pub Date : 2024-09-15 DOI: 10.1002/itl2.580

G. Balayogi, K. S. Kuppusamy

引用次数: 0

Vulnerability mining method of SOAP based on black-box fuzzing 基于黑盒模糊的SOAP漏洞挖掘方法

IF 0.9

Internet Technology Letters Pub Date : 2024-09-11 DOI: 10.1002/itl2.553

Senyang Ding, Xianghua Xu

{"title":"Vulnerability mining method of SOAP based on black-box fuzzing","authors":"Senyang Ding, Xianghua Xu","doi":"10.1002/itl2.553","DOIUrl":"https://doi.org/10.1002/itl2.553","url":null,"abstract":"In the span of over two decades since the dawn of the twenty-first century, global Internet of Things security incidents have continued to break out. Currently, there remains no vulnerability mining method that can be seamlessly adapted to diverse test scenarios. In this paper, we proposed a simple object access protocol (SOAP) analysis and vulnerability detection method based on black-box fuzzing, which is used to extract more information from the limited SOAP traffic and explore the vulnerabilities of some Internet of Things devices that communicate through SOAP or advanced protocols based on SOAP. We transformed SOAP protocol packets into abstract syntax trees (AST), using a more granular approach to extract the production and guide the mutation. Based on this algorithm, we propose an automatic black-box fuzzer, termed SOAPFuzzer. When testing real camera devices from various manufacturers, 0-day vulnerabilities were successfully found on different devices. At present, 0-day vulnerabilities have been reported to the China National Vulnerability Database (CNVD), and vulnerability number CNVD-2023-43 801 and original vulnerability certificates have been obtained. In terms of packet reception rate, SOAPFuzzer is 10.7% and 12.4% higher than the current popular black-box Fuzzer Boofuzz on the two camera devices, respectively.","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":"8 2","pages":""},"PeriodicalIF":0.9,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of a mix network with elliptic curve cryptography and XOR shuffling for secure communication with 5-node 基于椭圆曲线加密和异或变换的5节点安全通信混合网络设计

IF 0.9

Internet Technology Letters Pub Date : 2024-09-08 DOI: 10.1002/itl2.578

Fayaz Ahmad Naikoo, Khaleel Ahmad, Khairol Amali Bin Ahmad

{"title":"Design of a mix network with elliptic curve cryptography and XOR shuffling for secure communication with 5-node","authors":"Fayaz Ahmad Naikoo, Khaleel Ahmad, Khairol Amali Bin Ahmad","doi":"10.1002/itl2.578","DOIUrl":"https://doi.org/10.1002/itl2.578","url":null,"abstract":"This research paper proposes a novel 5-node mix network, an anonymous communication network to boost privacy within the network. Within the proposed framework the crypto-operations like encryption, decryption, and shuffling are held with the help of the Elliptic Curve Cryptography (ECC) and XOR algorithm. This unique combination helps to exchange the message within the communication network with enhanced security and privacy. To analyze the processing time and load factor at each intermediate node of mix network, an exhaustive experimental analysis is carried out for key sizes of 256, 384, and 512 bits respectively. These crypto-operations like encryption, decryption, and XOR shuffling need varying time slots to perform at each intermediate node thereby having a varying load factor associated with them. The objective of this research is to analyze the processing time and load factor at each node within the 5-node mix network thereby helping to analyze the strengths and weaknesses of each intermediate node. Through our analysis, these percentages are computed, shedding light on the allocation of computational load and resource utilization among the nodes.","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":"8 3","pages":""},"PeriodicalIF":0.9,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143688769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

5G-based video summarization: An analysis from a methodological point of view 基于5g的视频摘要：从方法论的角度分析

IF 0.9

Internet Technology Letters Pub Date : 2024-09-02 DOI: 10.1002/itl2.576

Asha Prashant Sathe, P. Jeyanthi

{"title":"5G-based video summarization: An analysis from a methodological point of view","authors":"Asha Prashant Sathe, P. Jeyanthi","doi":"10.1002/itl2.576","DOIUrl":"https://doi.org/10.1002/itl2.576","url":null,"abstract":"Surveillance is one of the fast-growing applications used for monitoring and watching people, objects, or the environment to collect information and provide security. The surveillance data is in video form, and analyzing large video is challenging because it is essential to do efficient video streaming online. Video summarization comprises selecting, extracting, and aggregating keyframes for creating a synopsis, which is challenging. Though several methods have been proposed for video summarization, most are inconsistent, poor in processing and delivering video content, and do not focus on solving the root problems interlinked with efficient streaming. Thus, video streaming applications require an efficient video summarization model that can overcome existing issues and challenges and improve the overall quality of service integrated with the advanced technology of 5G. This paper has aimed to discuss various methods, approaches, and technologies used for video summarization to design a better model. It also presents various learning models and a taxonomy of available methods and provides a detailed review. The summary of the model used evaluates its outcome and the existing methods for potential future research works. The proposed approach is compared with existing ones to prove the model's efficiency. The result shows that the proposed model achieved a 62.3 and 52.3 F1 score summarizing the TVSum and SumMe datasets, respectively.","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":"8 3","pages":""},"PeriodicalIF":0.9,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143688804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Linear budget management in internet of things and 6G network environments: Linear regression and time series analysis 物联网和6G网络环境下的线性预算管理：线性回归和时间序列分析

IF 0.9

Internet Technology Letters Pub Date : 2024-08-30 DOI: 10.1002/itl2.579

Jing Long

引用次数: 0

Enhanced synthetic generation of channel state information for millimeter-wave networks in 5G communication systems 5G通信系统中毫米波网络信道状态信息的增强合成生成

IF 0.9

Internet Technology Letters Pub Date : 2024-08-30 DOI: 10.1002/itl2.577

K. C. Sriharipriya, J. Christopher Clement, Gerardine Immaculate Mary, Chandrasekharan Natraj, R. Tharun Kumar, R. Gokul

{"title":"Enhanced synthetic generation of channel state information for millimeter-wave networks in 5G communication systems","authors":"K. C. Sriharipriya, J. Christopher Clement, Gerardine Immaculate Mary, Chandrasekharan Natraj, R. Tharun Kumar, R. Gokul","doi":"10.1002/itl2.577","DOIUrl":"https://doi.org/10.1002/itl2.577","url":null,"abstract":"In 5G communication systems, millimeter-wave networks are pivotal, relying heavily on Channel State Information (CSI) for effective user-to-base station (BS) transmission. However, the acquisition of genuine CSI data remains a hurdle, often due to the expenses associated with simulations or physical experiments. This paper introduces an innovative method for generating artificial CSI data from real datasets, aiming to closely replicate authentic CSI samples. The procedure begins with an initial clustering analysis, followed using Principal Component Analysis and Uniform Manifold Approximation and Projection to reduce dimensionality. Then, the data distributions are transformed into multivariate normal distributions using Probability Integral Transformations (PIT). For data synthesis, Multilayer Perceptron based regression models are utilized, followed by inverse PIT transformations to return the data to its original space. Our method is compared against KDE-based algorithms, demonstrating superior fidelity in reproducing real CSI samples. Additionally, we stress the importance of capturing CSI correlations among different BSs to refine data synthesis. This research propels forward data synthesis techniques, offering potential solutions for mitigating interference challenges in dense MMW networks and advancing 5G communication systems.","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":"8 3","pages":""},"PeriodicalIF":0.9,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143690235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0