Other Conferences最新文献_第3页

Research on network topology visualization under HTML5 technology HTML5 技术下的网络拓扑可视化研究

Other Conferences Pub Date : 2024-06-06 DOI: 10.1117/12.3032035

Jian Liu

{"title":"Research on network topology visualization under HTML5 technology","authors":"Jian Liu","doi":"10.1117/12.3032035","DOIUrl":"https://doi.org/10.1117/12.3032035","url":null,"abstract":"With the rapid development of computer network technology, the network structure has become increasingly complex, and the number and types of network devices have also shown explosive growth. In order to better understand, manage and optimize the network, visualization of network topology has become an important research field. However, the current visualization framework and tools have some problems in the practical process, such as complicated application process, single display effect and insufficient interaction ability, which can not meet the actual needs of users. In this regard, this paper will take network topology visualization as the research object, and build a network topology visualization system based on HTML5 through Web technology to realize the innovation of network topology management. Practice has proved that the whole system adopts B/S architecture design, and the front end is mainly based on HTML5, CSS and JavaScript, combined with BootStrap layout framework to complete the design and construction. At the same time, the Canvas is used to complete the drawing and rendering of visual graphics, which greatly improves the efficiency of network monitoring, conforms to the expected goal of network management system in displaying topological functions, and has certain practical application value.","PeriodicalId":198425,"journal":{"name":"Other Conferences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141376696","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

Research on health evaluation method of data center security protection system 数据中心安全保护系统健康评估方法研究

Other Conferences Pub Date : 2024-06-06 DOI: 10.1117/12.3032059

Ranxin Gao, Sen Jing, Min Li, Yue Sun, Guanlin Si, Yue Zhang

引用次数: 0

Can large language model replace static analysis tools 大型语言模型能否取代静态分析工具

Other Conferences Pub Date : 2024-06-06 DOI: 10.1117/12.3031920

Han Cui

引用次数: 0

CATL: contrast adaptive transfer learning for cross-system log anomaly detection CATL：用于跨系统日志异常检测的对比自适应迁移学习

Other Conferences Pub Date : 2024-06-06 DOI: 10.1117/12.3031960

Junwei Zhou, Yafei Li, Xiangtian Yu, Yuxuan Zhao

{"title":"CATL: contrast adaptive transfer learning for cross-system log anomaly detection","authors":"Junwei Zhou, Yafei Li, Xiangtian Yu, Yuxuan Zhao","doi":"10.1117/12.3031960","DOIUrl":"https://doi.org/10.1117/12.3031960","url":null,"abstract":"Syslogs play a crucial role in maintenance and troubleshooting, as they document the operational status and key events within computer systems. However, traditional methods of anomaly detection in Syslog face challenges due to the sheer volume and diversity of logs, making cross-system anomaly detection difficult. To address those challenges, this paper introduces CATL, a pioneering Contrast Adaptive Transfer Learning with Bidirectional Long Short-Term Memory (BiLSTM), which can effectively extract contextual features of the log sequence from both directions. CATL overcomes the difficulties arising from massive, less-correlated logs between different systems by leveraging a combination of labeled data from source and target systems and optimizing the Contrastive Domain Discrepancy (CDD) metric. This allows CATL to accurately model discrepancies within and across log classes, minimizing intra-class domain discrepancy while maximizing inter-class domain discrepancy in log sequence features from different domains to match existing anomaly detection decision boundaries better. Our empirical studies, conducted on prominent benchmarks including HDFS, Hadoop, Thunderbird, BGL, and Spirit, demonstrate that CATL addresses the syntactic diversity of log systems and outperforms existing methods in cross-system anomaly detection.","PeriodicalId":198425,"journal":{"name":"Other Conferences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141376675","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

Research on distributed heterogeneous task scheduling and resource allocation algorithms based on deep learning 基于深度学习的分布式异构任务调度和资源分配算法研究

Other Conferences Pub Date : 2024-06-06 DOI: 10.1117/12.3032073

Qiu Zhen, Fan Xu, Wenpu Li, Fan Yang, Hongyu Wu, Huanhuan Li

引用次数: 0

Cross-language entity alignment based on graph convolution neural network and attribute information 基于图卷积神经网络和属性信息的跨语言实体对齐

Other Conferences Pub Date : 2024-06-06 DOI: 10.1117/12.3031901

Xiaozhan Hu, Yuan Sun

引用次数: 0

Blockchain-based federal learning program for drone safety 基于区块链的无人机安全联邦学习计划

Other Conferences Pub Date : 2024-06-06 DOI: 10.1117/12.3031895

Jingyuan Jing, Yanbo Yang, Mingchao Li, Baoshan Li, Jiawei Zhang, Jianfeng Ma

{"title":"Blockchain-based federal learning program for drone safety","authors":"Jingyuan Jing, Yanbo Yang, Mingchao Li, Baoshan Li, Jiawei Zhang, Jianfeng Ma","doi":"10.1117/12.3031895","DOIUrl":"https://doi.org/10.1117/12.3031895","url":null,"abstract":"In order to study secure federated learning for resource-constrained devices such as drones to protect user privacy and data security in drone networks, a blockchain-based secure federated learning scheme for drones is proposed. Currently, researchers focus on transferring models for federated learning after local training using drones, but in reality, drones will be limited in accomplishing local training due to their own resource and arithmetic issues. In this paper, the scheme offloads the training task of the UAV to the local server, and the UAV is only responsible for performing model aggregation and delivery. At the same time, a new consensus algorithm PoE (Proof-of-Energy) is proposed to model the energy and evaluate the arithmetic power of drones, which assigns roles to each drone node within the blockchain network and ensures that the drones effectively participate in the federated learning process. Due to the open and transparent nature of the blockchain, ring signatures are used to replace the traditional signatures in order to protect the private information such as the behavior and identity of each node and the content of block transactions. The experimental results show that the proposed model can ensure that UAVs effectively participate in federated learning. In addition, when there is a poisoning sample to disrupt the training process, the accuracy of the global model can be effectively ensured compared to the traditional scheme.","PeriodicalId":198425,"journal":{"name":"Other Conferences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141377786","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

Synergizing next-generation firewalls and defense-in-depth strategies in a dynamic cybersecurity landscape 在动态的网络安全环境中协同下一代防火墙和深度防御战略

Other Conferences Pub Date : 2024-06-06 DOI: 10.1117/12.3031957

Sun Lei

{"title":"Synergizing next-generation firewalls and defense-in-depth strategies in a dynamic cybersecurity landscape","authors":"Sun Lei","doi":"10.1117/12.3031957","DOIUrl":"https://doi.org/10.1117/12.3031957","url":null,"abstract":"The ever-changing cyber threat landscape, characterized by increasingly sophisticated attacks and evolving malware, demands robust and layered security strategies. Traditional firewalls, while effective as a first line of defense, struggle to keep pace with the complexity of modern threats. This necessitates the adoption of Next-Generation Firewalls (NGFWs) as a vital component of a comprehensive defense-in-depth approach. This research delves into the limitations of traditional firewalls and explores the key capabilities offered by NGFWs. It examines how features like application awareness, deep packet inspection, and SSL/TLS decryption contribute to a more secure and resilient network infrastructure. Through in-depth analysis and relevant case studies, this paper aims to demonstrate the critical role of NGFWs in today's dynamic cybersecurity environment. It emphasizes the critical need for organizations to embrace a defense-in-depth approach, with NGFWs serving as the cornerstone for a robust and resilient network infrastructure. By deploying NGFWs and adopting a comprehensive layered security strategy, organizations can significantly improve their cybersecurity posture and effectively protect themselves against the ever-present and evolving threat actors.","PeriodicalId":198425,"journal":{"name":"Other Conferences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141377491","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

Physical layer secure transmission method based on MSK modulator structure hopping 基于 MSK 调制器结构跳变的物理层安全传输方法

Other Conferences Pub Date : 2024-06-06 DOI: 10.1117/12.3032071

Xiaoyu Wang, Yawei Yu, Long Yu, Yuanyuan Gao

引用次数: 0

Text-based sentiment analysis for evaluating the service provider professionalism (SPP) of macro work on online labor platforms (OLPs) 基于文本的情感分析，评估在线劳务平台（OLP）上宏观工作的服务提供商专业性（SPP）

Other Conferences Pub Date : 2024-06-06 DOI: 10.1117/12.3031905

Hongbin Zhang, Jiajun Xu

{"title":"Text-based sentiment analysis for evaluating the service provider professionalism (SPP) of macro work on online labor platforms (OLPs)","authors":"Hongbin Zhang, Jiajun Xu","doi":"10.1117/12.3031905","DOIUrl":"https://doi.org/10.1117/12.3031905","url":null,"abstract":"Macro work is a significant Online Labor Platforms (OLPs) operation characterized by higher professionalism for service providers. Therefore, the professionalism assessment for providers of macro work is vital for OLPs. However, due to the high ambiguity of textual data, OLPs often overlook them when evaluating the Service Provider Professionalism (SPP) of macro work. Within OLPs, there is a large amount of textual data, which contains information reflecting their professionalism. Hence, this study proposes a method for evaluating the SPP of macro work on OLPs based on text sentiment analysis: (1) Select professional vocabulary related to a specific type of macro work as sentiment words; (2) Collect texts and score their professionalism values; (3) Calculate the sentiment word professionalism value based on the NBSP algorithm - an algorithm that combines the Naive Bayes and Semantic Orientation Pointwise Mutual Information (SO-PMI) algorithms; (4) Calculate the text professionalism value, namely the SPP value. Algorithm validation results show that compared to baseline algorithms, the NBSP algorithm achieves an increase in the accuracy of calculating text professionalism values by 4.45 - 27.75 percent points. To validate this method's effectiveness, this study conducted a comparative experiment on predicting the annual transaction amounts of IT service providers on a certain Chinese OLP under eight main-stream predictive models, incorporating the feature of SPP reduced MSE by 6% - 12%. This study contributes to expanding research in structuring textual data and text sentiment analysis in OLPs and enhances professionalism assessment for service providers of macro work on OLPs.","PeriodicalId":198425,"journal":{"name":"Other Conferences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141380788","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