International Conference on Future Internet of Things and Cloud : FiCloud. International Conference on Future Internet of Things and Cloud最新文献

Transformer-Based Intrusion Detection for Post-5G and 6G Telecommunication Networks Using Dynamic Semantic Embedding 后5g和6G通信网络中基于变压器的动态语义嵌入入侵检测

International Conference on Future Internet of Things and Cloud : FiCloud. International Conference on Future Internet of Things and Cloud Pub Date : 2025-11-27 DOI: 10.3390/fi17120544

Heyang Yan, Xin Pang, Shaopeng Zhou, Honghui Fan

{"title":"Transformer-Based Intrusion Detection for Post-5G and 6G Telecommunication Networks Using Dynamic Semantic Embedding","authors":"Heyang Yan, Xin Pang, Shaopeng Zhou, Honghui Fan","doi":"10.3390/fi17120544","DOIUrl":"https://doi.org/10.3390/fi17120544","url":null,"abstract":"Post-5G and 6G telecommunication infrastructures face critical information security challenges due to increasing network complexity and sophisticated cyberattacks. Traditional intrusion detection systems based on statistical traffic analysis struggle to identify advanced threats that exploit semantic-level vulnerabilities in modern communication protocols. This paper proposes a Transformer-based intrusion detection system specifically designed for post-5G and 6G networks. Our approach integrates three key innovations: First, a comprehensive feature extraction method capturing both semantic content characteristics and communication behavior patterns. Second, a dynamic semantic embedding mechanism that adaptively adjusts positional encoding based on semantic context changes. Third, a Transformer-based classifier with multi-head attention mechanisms to model long-range dependencies in attack sequences. Extensive experiments on CICIDS2017 and UNSW-NB15 datasets demonstrate superior performance compared to LSTM, GRU, and CNN baselines across multiple evaluation metrics. Robustness testing and cross-dataset validation confirm strong generalization capability, making the system suitable for deployment in heterogeneous post-5G and 6G telecommunication environments.","PeriodicalId":521245,"journal":{"name":"International Conference on Future Internet of Things and Cloud : FiCloud. International Conference on Future Internet of Things and Cloud","volume":"17 12","pages":"544-544"},"PeriodicalIF":0.0,"publicationDate":"2025-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.mdpi.com/1999-5903/17/12/544/pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147883347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Is the Healthcare Industry Ready for Digital Twins? Examining the Opportunities and Challenges 医疗行业准备好迎接数字双胞胎了吗？审视机遇与挑战

International Conference on Future Internet of Things and Cloud : FiCloud. International Conference on Future Internet of Things and Cloud Pub Date : 2025-08-27 DOI: 10.3390/fi17090386

Srinivasini Sasitharasarma, Noor Haitham Saleem, Zazli Lily Wisker

{"title":"Is the Healthcare Industry Ready for Digital Twins? Examining the Opportunities and Challenges","authors":"Srinivasini Sasitharasarma, Noor Haitham Saleem, Zazli Lily Wisker","doi":"10.3390/fi17090386","DOIUrl":"https://doi.org/10.3390/fi17090386","url":null,"abstract":"Recent advancements in the healthcare sector have reached a pivotal juncture, catalysed by the emergence of Digital Twin (DT) technologies. These innovations facilitate the development of virtual replicas that accurately simulate real-world conditions, thereby transforming traditional approaches to medical analysis, diagnostics, and treatment planning. Although widely successful in manufacturing, the adoption of Digital Twins in healthcare is relatively limited, particularly regarding their impact on clinical efficiency and patient outcomes. This study addresses three primary research questions: (1) How does Digital Twin technology improve individualised patient treatments and care quality? (2) What is the role of Digital Twin technology in accurately predicting patient responses to medical interventions? (3) What are the significant challenges of integrating Digital Twin technology into healthcare? Synthesising findings from 70 peer-reviewed articles, this review identifies critical knowledge gaps and provides practical recommendations for healthcare stakeholders to effectively navigate these challenges. This research proposes a conceptual framework illustrating the lifecycle of Digital Twin implementation in healthcare and outlines essential strategies for successful adoption. It emphasises the importance of robust infrastructure, clear regulatory guidance, and ethical practices to fully leverage the advantages of DT technologies. Nevertheless, this review acknowledges its limitations, including reliance on secondary data and the absence of empirical validation. Future research should focus on practical applications, diverse healthcare contexts, and broader stakeholder perspectives to comprehensively assess real-world impacts.","PeriodicalId":521245,"journal":{"name":"International Conference on Future Internet of Things and Cloud : FiCloud. International Conference on Future Internet of Things and Cloud","volume":"17 9","pages":"386-386"},"PeriodicalIF":0.0,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.mdpi.com/1999-5903/17/9/386/pdf?version=1756294698","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147893697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Edge Computing for Physics-Driven AI in Computational MRI: A Feasibility Study. 计算MRI中物理驱动AI的边缘计算：可行性研究。

International Conference on Future Internet of Things and Cloud : FiCloud. International Conference on Future Internet of Things and Cloud Pub Date : 2025-08-01 Epub Date: 2025-10-21 DOI: 10.1109/ficloud66139.2025.00012

Yaşar Utku Alçalar, Yu Cao, Mehmet Akçakaya

{"title":"Edge Computing for Physics-Driven AI in Computational MRI: A Feasibility Study.","authors":"Yaşar Utku Alçalar, Yu Cao, Mehmet Akçakaya","doi":"10.1109/ficloud66139.2025.00012","DOIUrl":"10.1109/ficloud66139.2025.00012","url":null,"abstract":"<p><p>Physics-driven artificial intelligence (PD-AI) reconstruction methods have emerged as the state-of-the-art for accelerating MRI scans, enabling higher spatial and temporal resolutions. However, the high resolution of these scans generates massive data volumes, leading to challenges in transmission, storage, and real-time processing. This is particularly pronounced in functional MRI, where hundreds of volumetric acquisitions further exacerbate these demands. Edge computing with FPGAs presents a promising solution for enabling PD-AI reconstruction near the MRI sensors, reducing data transfer and storage bottlenecks. However, this requires optimization of PD-AI models for hardware efficiency through quantization and bypassing traditional FFT-based approaches, which can be a limitation due to their computational demands. In this work, we propose a novel PD-AI computational MRI approach optimized for FPGA-based edge computing devices, leveraging 8-bit complex data quantization and eliminating redundant FFT/IFFT operations. Our results show that this strategy improves computational efficiency while maintaining reconstruction quality comparable to conventional PD-AI methods, and outperforms standard clinical methods. Our approach presents an opportunity for high-resolution MRI reconstruction on resource-constrained devices, highlighting its potential for real-world deployment.</p>","PeriodicalId":521245,"journal":{"name":"International Conference on Future Internet of Things and Cloud : FiCloud. International Conference on Future Internet of Things and Cloud","volume":"2025 ","pages":"34-38"},"PeriodicalIF":0.0,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12889257/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146169265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Using Machine Learning to Detect Vault (Anti-Forensic) Apps 使用机器学习检测保险库（反取证）应用程序

International Conference on Future Internet of Things and Cloud : FiCloud. International Conference on Future Internet of Things and Cloud Pub Date : 2025-04-22 DOI: 10.3390/fi17050186

Michael N. Johnstone, Wencheng Yang, Mohiuddin Ahmed

引用次数: 0

Enhancing Design and Authentication Performance Model: A Multilevel Secure Database Management System 一个多级安全数据库管理系统的改进设计与认证性能模型

International Conference on Future Internet of Things and Cloud : FiCloud. International Conference on Future Internet of Things and Cloud Pub Date : 2025-02-08 DOI: 10.3390/fi17020074

Hemin Sardar Abdulla, Aso M. Aladdin

{"title":"Enhancing Design and Authentication Performance Model: A Multilevel Secure Database Management System","authors":"Hemin Sardar Abdulla, Aso M. Aladdin","doi":"10.3390/fi17020074","DOIUrl":"https://doi.org/10.3390/fi17020074","url":null,"abstract":"Multilevel security (MLS) is particularly intended to secure information against unauthorized access. An MLS security DBMS allows users with different security levels to access and share a database. For this purpose, the study creates a model that includes a restricted access authentication prototype with multilevel security in a database management system (MLS/DBMS). Accordingly, the model has been designed to emphasize the highest level of authorized security. The system ensures that users can only access information that they are permitted to view, fully adhering to the newly established MLS framework. In addition, the model also integrates cryptographic algorithms, such as RSA and AES, to enhance its functionality and demonstrate the scalability and security of the model. These criteria are defined based on the perspective of the database provided to users, determined by their respective authorization levels. An informal security framework for a multilevel secure DBMS is defined. It includes a classification strategy and explains the implementation of operations like insertion and deletion, addressing the complexity of models with novel methods. The metric evaluation of this model assesses the performance of the authentication process and how operations are implemented across three authentication group types. It also calculates the key generation time and encryption types in cryptographic algorithms. The results confirm that the RSA model requires less time for evaluation while maintaining multilevel security. Furthermore, the type 2 authentication group is more complex and requires more memory and time for generation. Based on the classification, the results highlight notable differences, which designers should consider when selecting authentication methods. Lastly, the study presents various conclusions, explores possible future directions, and discusses its limitations.","PeriodicalId":521245,"journal":{"name":"International Conference on Future Internet of Things and Cloud : FiCloud. International Conference on Future Internet of Things and Cloud","volume":"17 2","pages":"74-74"},"PeriodicalIF":0.0,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.mdpi.com/1999-5903/17/2/74/pdf?version=1739002946","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147886355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Advancing Healthcare Through the Integration of Digital Twins Technology: Personalized Medicine’s Next Frontier 通过集成数字孪生技术推进医疗保健：个性化医疗的下一个前沿

International Conference on Future Internet of Things and Cloud : FiCloud. International Conference on Future Internet of Things and Cloud Pub Date : 2024-12-20 DOI: 10.3390/fi16120477

Sharmin Attaran, Mohsen Attaran

{"title":"Advancing Healthcare Through the Integration of Digital Twins Technology: Personalized Medicine’s Next Frontier","authors":"Sharmin Attaran, Mohsen Attaran","doi":"10.3390/fi16120477","DOIUrl":"https://doi.org/10.3390/fi16120477","url":null,"abstract":"The use of Digital Twin technology has been expanding rapidly, and projections indicate that it will continue to proliferate across various applications, use cases, and industries, including healthcare. In recent years, the healthcare sector has seen an acceleration in digital transformation. This fast-paced change offers both opportunities and risks, especially with emerging technologies like digital twins, which are relatively untested and still in the early stages of adoption in medical care. This paper aims to conduct a literature review to explore how digital twins facilitate intelligent automation in healthcare. It defines the concept, traces the technology’s evolution and development, reviews its key enabling technologies, and examines current trends and challenges. The paper also presents a range of application examples in personalized medicine and public health, concluding with a succinct discussion of the primary technical and ancillary challenges, as well as the ethical issues that arise when applying digital twin technology to human subjects.","PeriodicalId":521245,"journal":{"name":"International Conference on Future Internet of Things and Cloud : FiCloud. International Conference on Future Internet of Things and Cloud","volume":"16 12","pages":"477-477"},"PeriodicalIF":0.0,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.mdpi.com/1999-5903/16/12/477/pdf?version=1734697004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147917056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9