Procedia Computer Science最新文献_第2页

Neoteric Threat Intelligence Ensuring Digital Sovereignty and Trust through ML-Infused Proactive Defense Analytics for NEXT-G and Beyond Ecosystems

Procedia Computer Science Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.02.062

Sudhakar Kumar , Sunil K. Singh , Rakesh Kumar , Chandra Kumari Subba , Kwok Tai Chui , Brij B. Gupta

{"title":"Neoteric Threat Intelligence Ensuring Digital Sovereignty and Trust through ML-Infused Proactive Defense Analytics for NEXT-G and Beyond Ecosystems","authors":"Sudhakar Kumar , Sunil K. Singh , Rakesh Kumar , Chandra Kumari Subba , Kwok Tai Chui , Brij B. Gupta","doi":"10.1016/j.procs.2025.02.062","DOIUrl":"10.1016/j.procs.2025.02.062","url":null,"abstract":"<div><div>In the domain of Cyber-Physical Systems (CPS) and the Internet of Things (IoT), this research presents a novel approach to Neoteric Threat Intelligence ensuring Digital Sovereignty and Trust through ML-Infused Proactive Defense Analytics for NEXT-G and Beyond Ecosystems. As Sixth Generation and Beyond (6G and B) wireless networks undergo rapid evolution, our framework is designed to proactively anticipate and counter security incidents by utilizing advanced machine learning algorithms. This approach effectively addresses the shortcomings of conventional models, ensuring that digital assets and communications remain secure, trustworthy, and under rightful control. The study delves into the theoretical integration of this paradigm within the NextG network architecture, reinforcing digital sovereignty through a dynamic and adaptable defense mechanism. In-depth technical examinations include advanced machine learning algorithms, adaptive defenses, and scalability considerations. By critically analyzing and comparing existing security approaches, this study significantly advances technical knowledge and practical applications for wireless network security, supporting defenses against the evolving and complex threats characteristic of the 6G and Beyond era.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"254 ","pages":"Pages 39-47"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143550981","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

Sovereignty-Aware Intrusion Detection on Streaming Data: Automatic Machine Learning Pipeline and Semantic Reasoning

Procedia Computer Science Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.02.066

Ayan Chatterjee , Sundar Gopalakrishnan , Ayan Mondal

{"title":"Sovereignty-Aware Intrusion Detection on Streaming Data: Automatic Machine Learning Pipeline and Semantic Reasoning","authors":"Ayan Chatterjee , Sundar Gopalakrishnan , Ayan Mondal","doi":"10.1016/j.procs.2025.02.066","DOIUrl":"10.1016/j.procs.2025.02.066","url":null,"abstract":"<div><div>Intrusion Detection Systems (IDS) are critical in safeguarding network infrastructures against malicious attacks. Traditional IDSs often struggle with knowledge representation, real-time detection, and accuracy, especially when dealing with high-throughput data. This paper proposes a novel IDS framework that leverages machine learning models, streaming data, and semantic knowledge representation to enhance intrusion detection accuracy and scalability. Additionally, the study incorporates the concept of Digital Sovereignty, ensuring that data control, security, and privacy are maintained according to national and regional regulations. The proposed system integrates Apache Kafka for real-time data processing, an automatic machine learning pipeline (e.g., Tree-based Pipeline Optimization Tool (TPOT)) for classifying network traffic, and OWL-based semantic reasoning for advanced threat detection. The proposed system, evaluated on NSL-KDD and CIC-IDS-2017 datasets, demonstrated qualitative outcomes such as local compliance, reduced data storage needs due to real-time processing, and improved adaptability to local data laws. Experimental results reveal significant improvements in detection accuracy, processing efficiency, and Sovereignty alignment.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"254 ","pages":"Pages 78-87"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551018","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

ChatGPT in Education: A Review of Ethical Challenges and Approaches to Enhancing Transparency and Privacy

Procedia Computer Science Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.02.077

Ibomoiye Domor Mienye , Theo G. Swart

引用次数: 0

Digital Sovereignty through Africa-Centric Emotional Intelligence: A Proof of Concept for AI-Enhanced Mental Health Support

Procedia Computer Science Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.02.086

Sontaga G. Forane , Absalom E. Ezugwu , Kevin Igwe

{"title":"Digital Sovereignty through Africa-Centric Emotional Intelligence: A Proof of Concept for AI-Enhanced Mental Health Support","authors":"Sontaga G. Forane , Absalom E. Ezugwu , Kevin Igwe","doi":"10.1016/j.procs.2025.02.086","DOIUrl":"10.1016/j.procs.2025.02.086","url":null,"abstract":"<div><div>Digital sovereignty is vital for enabling communities to control their technological ecosystems, particularly in areas like mental health, where cultural relevance and data autonomy are paramount. This study examines the integration of Africa-centric emotional intelligence principles into AI-driven mental health support systems, while at the same time proposing a culturally adaptive framework with a proof of concept that emphasizes both technological autonomy and cultural authenticity. Grounded in values such as empathy, communal well-being, resilience, and Ubuntu, the conceptualized approach aligns mental health interventions with the lived experience of African communities. The framework incorporates conversational agents and personalized interventions, alongside a prototype system capable of detecting and classifying mental health conditions, such as depression, anxiety, and stress. The culturally aligned design enhances user trust, engagement, and perceived usefulness, By emphasizing local data control and leveraging Indigenous systems, this work promotes digital sovereignty and addresses privacy concerns. Preliminary testing of the prototype demonstrates the feasibility of culturally attuned AI solutions, showing improved user engagement and trust. This paper emphasizes the need for mental health interventions that respect cultural identity while promoting digital autonomy. More so, it advocates for AI systems personalized to regional contexts and calls for mental health solutions that uphold cultural identity while advancing digital self-governance.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"254 ","pages":"Pages 269-278"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551080","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

Ensuring Digital Sovereignty in Cross-chain EHR Sharing: A Relay-as-a-Service Approach for Secure Healthcare Interoperability

Procedia Computer Science Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.02.063

Dharavath Ramesh , Thakur Santosh , Munesh Chandra Trivedi , Chi Hieu Le

{"title":"Ensuring Digital Sovereignty in Cross-chain EHR Sharing: A Relay-as-a-Service Approach for Secure Healthcare Interoperability","authors":"Dharavath Ramesh , Thakur Santosh , Munesh Chandra Trivedi , Chi Hieu Le","doi":"10.1016/j.procs.2025.02.063","DOIUrl":"10.1016/j.procs.2025.02.063","url":null,"abstract":"<div><div>Electronic Health Records (EHRs) stored in cloud environments often face privacy challenges in healthcare data management due to the divide between patient ownership and institutional control. Blockchain technology offers a promising solution with its features of immutability and traceability. However, existing blockchain-based approaches for EHR privacy preservation are limited to single institutions and fail to address the critical need for cross-chain compatibility and digital sovereignty. To bridge this gap, we propose two novel strategies: Polkadot-based Cross-chain for EHR-preserving Blockchain (PCEB) and Relay-as-a-Service-based Cross-chain for EHR-preserving Blockchain (RaSCEB). PCEB utilizes Polkadot's relay communication to securely share EHR data across multiple healthcare networks while preserving patient privacy and ensuring digital sovereignty. RaSCEB introduces Relay-as-a-Service (RaaS) to enable seamless EHR sharing across blockchain ecosystems, empowering patients with control over their data while maintaining regulatory compliance and sovereignty over their digital health records. Both approaches are validated through comprehensive security analysis and performance evaluations. We also present an interoperability framework tailored for permissioned blockchain networks, emphasizing trust derived from consensus mechanisms. Our work addresses the urgent need for cross-chain compatibility in EHR privacy preservation and advances interoperability solutions while safeguarding digital sovereignty in healthcare and beyond.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"254 ","pages":"Pages 48-57"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551085","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

Conventional and Zero Trust Security Measures for Precision Agriculture Devices: the mySense’s VineInspector Case-study

Procedia Computer Science Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.02.118

Luís Carvalho , Telmo Adão , Raul Morais , António Rio Costa , Emanuel Peres

引用次数: 0

Research Insights on the Ethical Aspects of AI-Based Smart Learning Environments: Review on the Confluence of Academic Enterprises and AI

Procedia Computer Science Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.02.122

Sini Raj Pulari , Shomona Gracia Jacob

引用次数: 0

K-operator as a predictor for Alzheimer-Perusini’s disease

Procedia Computer Science Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.02.173

Maria Mannone , Norbert Marwan , Peppino Fazio , Patrizia Ribino

引用次数: 0

Neural Network Ensemble for Detecting Parasite Eggs in Microscopic Images

Procedia Computer Science Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.02.174

Matheus L.L. Bessa , Geraldo Braz Junior , João Dallyson Souza de Almeida

引用次数: 0

From Many to One: A Case Study of Cooperative Enterprise Systems in B2B Digital Platform Creation

Procedia Computer Science Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.02.089

Jaakko Vuolasto, Kari Smolander

引用次数: 0