ICT Express最新文献_第10页

Optimized Falcon Verify on Cortex-M4 for Post-Quantum secure UAV communications 在Cortex-M4上优化猎鹰验证后量子安全无人机通信

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-11-22 DOI: 10.1016/j.icte.2024.11.002

JunHyeok Choi , SeungYong Yoon , Seog Chung Seo

引用次数: 0

RIS partitioning and UAV selection for age-of-information optimization in RIS-assisted UAV communications RIS辅助无人机通信中信息年龄优化的RIS划分与无人机选择

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-11-20 DOI: 10.1016/j.icte.2024.10.003

Juseoung Lee, Jaewoo So

引用次数: 0

Integrating machine learning with proof-of-authority-and-association for dynamic signer selection in blockchain networks 在区块链网络中集成机器学习与权威证明和关联，用于动态签名者选择

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-11-04 DOI: 10.1016/j.icte.2024.10.008

Dong-Seong Kim , Rizal Syamsul

引用次数: 0

An adaptive relay selection strategy for user cooperation networks based on social-aware 基于社会感知的用户协作网络自适应中继选择策略

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-10-28 DOI: 10.1016/j.icte.2024.10.005

Siyang Xu , Runfeng Zhang , Xiaonan Yang , Xin Song

引用次数: 0

Deep neural network and trust management approach to secure smart transportation data in sustainable smart cities 深度神经网络和信任管理方法确保可持续智慧城市中智能交通数据的安全

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-10-01 DOI: 10.1016/j.icte.2024.08.006

Sohrab Khan , Sheharyar Khan , Adel Sulaiman , Mana Saleh Al Reshan , Hani Alshahrani , Asadullah Shaikh

引用次数: 0

The digital pheromone: Building digital identity of smartphone users based on time-varying multivariates 数字信息素：基于时变多变量构建智能手机用户的数字身份

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-10-01 DOI: 10.1016/j.icte.2024.07.008

Anizah Abu Bakar, Azizul Rahman Mohd Shariff, Chan Jia Huei, Suzi Iryanti Fadilah

引用次数: 0

Hybrid Approach with Membership-Density Based Oversampling for handling multi-class imbalance in Internet Traffic Identification with overlapping and noise 基于成员密度超采样的混合方法，用于处理具有重叠和噪声的互联网流量识别中的多类不平衡问题

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-10-01 DOI: 10.1016/j.icte.2024.04.007

{"title":"Hybrid Approach with Membership-Density Based Oversampling for handling multi-class imbalance in Internet Traffic Identification with overlapping and noise","authors":"","doi":"10.1016/j.icte.2024.04.007","DOIUrl":"10.1016/j.icte.2024.04.007","url":null,"abstract":"<div><div>Internet Traffic identification is a crucial method for monitoring Internet application activities and is essential for Internet management and security. Internet traffic data typically displays imbalanced distributions. The uneven distribution of instances in each class indicates the class imbalance problem. This problem can cause a decrease in classification performance because the classifier assumes the dataset has a balanced class distribution. Internet Traffic Identification dataset is often accompanied by overlapping and noise. The hybrid approach to handling class imbalances involving data-level and ensemble-based approaches is usually chosen to overcome this problem. Data-level with oversampling using SMOTE is the choice because of its ability to synthesize new samples for minority classes. However, SMOTE-generated samples tend to be noisy and overlap with the majority of samples. This research proposes the application of a Hybrid Approach with Membership-density-based Oversampling to tackle this challenge. This research emphasizes the importance of applying membership degrees in determining samples that will group samples into safe, overlapping, and noisy areas. Then, top samples will be selected based on density ratio, stability, and score for safe and overlapping safe areas. The study findings that the proposed method effectively addresses multi-class imbalances in six Internet Traffic Identification datasets, yielding slightly improved average accuracy, <span><math><mrow><msub><mrow><mi>F</mi></mrow><mrow><mi>b</mi></mrow></msub><mi>M</mi><mi>e</mi><mi>a</mi><mi>s</mi><mi>u</mi><mi>r</mi><mo>,</mo></mrow></math></span> and class balance accuracy results compared to other testing methods, though the difference is not statistically significant. The noise and overlapping scenes experiments demonstrate that the average accuracy obtained is superior, showing a considerable difference compared to all test methods.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"10 5","pages":"Pages 1094-1102"},"PeriodicalIF":4.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140759700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Edge computing in future wireless networks: A comprehensive evaluation and vision for 6G and beyond 未来无线网络中的边缘计算：对 6G 及其后的全面评估和展望

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-10-01 DOI: 10.1016/j.icte.2024.08.007

Mustafa Ergen , Bilal Saoud , Ibraheem Shayea , Ayman A. El-Saleh , Onur Ergen , Feride Inan , Mehmet Fatih Tuysuz

{"title":"Edge computing in future wireless networks: A comprehensive evaluation and vision for 6G and beyond","authors":"Mustafa Ergen , Bilal Saoud , Ibraheem Shayea , Ayman A. El-Saleh , Onur Ergen , Feride Inan , Mehmet Fatih Tuysuz","doi":"10.1016/j.icte.2024.08.007","DOIUrl":"10.1016/j.icte.2024.08.007","url":null,"abstract":"<div><div>Future internet aims to function as a neutral in-network storage and computation platform, essential for enabling 6G and beyond wireless use cases. Information-Centric Networking and Edge Computing are key paradigms driving this vision by offering diversified services with fast response times across heterogeneous networks. This approach requires effective coordination to dynamically utilize resources like links, storage, and computation in near real-time within a non-homogenous and distributed computing environment. Additionally, networks must be aware of resource availability and reputational information to manage unknown and partially observed dynamic systems, ensuring the desired Quality of Experience (QoE). This paper provides a comprehensive evaluation of edge computing technologies, starting with an introduction to its architectural frameworks. We examine contemporary research on essential aspects such as resource allocation, computation delegation, data administration, and network management, highlighting existing research gaps. Furthermore, we explore the synergy between edge computing and 5G, and discuss advancements in 6G that enhance solutions through edge computing. Our study emphasizes the importance of integrating edge computing in future considerations, particularly regarding sustainable energy and standards.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"10 5","pages":"Pages 1151-1173"},"PeriodicalIF":4.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142433177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A hybrid approach of ConvLSTMBNN-DT and GPT-4 for real-time anomaly detection decision support in edge–cloud environments 用于边缘云环境中实时异常检测决策支持的 ConvLSTMBNN-DT 和 GPT-4 混合方法

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-10-01 DOI: 10.1016/j.icte.2024.07.007

Radityo Fajar Pamungkas, Ida Bagus Krishna Yoga Utama, Khairi Hindriyandhito, Yeong Min Jang

{"title":"A hybrid approach of ConvLSTMBNN-DT and GPT-4 for real-time anomaly detection decision support in edge–cloud environments","authors":"Radityo Fajar Pamungkas, Ida Bagus Krishna Yoga Utama, Khairi Hindriyandhito, Yeong Min Jang","doi":"10.1016/j.icte.2024.07.007","DOIUrl":"10.1016/j.icte.2024.07.007","url":null,"abstract":"<div><div>Anomaly detection is a critical requirement across diverse domains to promptly identify abnormal behavior. Conventional approaches often face limitations with uninterpretable anomaly detection results, impeding efficient decision-making processes. This paper introduces a novel hybrid approach, the convolutional LSTM Bayesian neural network with nonparametric dynamic thresholding (ConvLSTMBNN-DT) for prediction-based anomaly detection. In addition, the model integrates fine-tuned generative pre-training version 4 (GPT-4) to provide human-interpretable explanations in edge–cloud environments. The proposed method demonstrates exceptional performance, achieving an average <span><math><mrow><mi>F</mi><mn>1</mn><mo>−</mo><mi>s</mi><mi>c</mi><mi>o</mi><mi>r</mi><mi>e</mi></mrow></math></span> of 0.91 and an area under the receiver operating characteristic curve (<span><math><mrow><mi>A</mi><mi>U</mi><mi>C</mi></mrow></math></span>) of 0.86. Additionally, it effectively offers comprehensible decision-support explanations.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":"10 5","pages":"Pages 1026-1033"},"PeriodicalIF":4.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142433144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Symbol-level precoding scheme robust to channel estimation errors in wireless fading channels 对无线衰减信道中的信道估计误差具有鲁棒性的符号级预编码方案

IF 4.1 3区计算机科学

ICT Express Pub Date : 2024-10-01 DOI: 10.1016/j.icte.2024.03.006

引用次数: 0