Big data and artificial intelligence in digital finance : increasing personalization and trust in digital finance using big data and AI / / editors, John Soldatos, Dimosthenis P. Kyriazis |
Autore | Soldatos John |
Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2022 |
Descrizione fisica | 1 online resource : $b illustrations (some color) |
Soggetto topico |
Artificial intelligence - Financial applications
Big data Blockchains (Databases) |
Soggetto non controllato |
Artificial Intelligence and Big Data
Digital Finance FinTech Blockchain RegTech |
ISBN | 3-030-94590-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- Part I: Novel Big Data and AI Technologies for Digital Finance -- A Reference Architecture for Big Data Systems and AI Applications in the Finance Sector -- Hybrid Transactional and Analytical Processing for Integrated Data Management in Digital Finance and FinTech Applications -- Semantic Interoperability Modelling for Digital Finance Applications -- Semantic Streaming for Digital Finance Applications -- Part II: Blockchain Technologies and Digital Currencies for Digital Finance Applications -- Central Bank Digital Currencies and a Euro for the Future -- Efficient and Accelerated KYC Using Blockchain Technologies -- Part III: Applications of Big Data and AI in Digital Finance -- AI-based platform for Intelligent and Automated Accounting -- Addressing Intra-Day Volatility in Risk Assessments for Forex Trading -- Next-Generation Personalized Investment Recommendations -- Personalized Finance Management for Small Medium Businesses -- AML/CF supervision empowered by AI -- Analyzing Large Scale Blockchain Transaction Graphs for Fraudulent Activities -- Cybersecurity and Fraud Detection in Financial Transactions -- Part IV: Applications of Big Data and AI in Insurance -- Risk assessment for personalized health insurance products -- Alternative Data for Personalized Insurance products -- Part V: Technologies for Regulatory Compliance in the Finance Sector -- AI Governance -Trustworthy and Responsible use of AI -- Large Scale Data Anonymization for GDPR Compliance -- Conclusion. |
Record Nr. | UNINA-9910566453103321 |
Soldatos John | ||
Cham, : Springer International Publishing AG, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Building blocks of lot analytics internet-of-things analytics / / editor, John Soldatos |
Autore | Soldatos John |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Taylor & Francis, 2017 |
Descrizione fisica | 1 online resource (294 pages) : color illustrations, tables |
Disciplina | 001 |
Collana | River Publishers Series in Signal, Image and Speech Processing |
Soggetto topico | Big data |
Soggetto non controllato |
Energy
Electrical engineering |
ISBN |
1-00-333742-2
1-003-33742-2 1-000-79365-6 87-93519-04-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910632999203321 |
Soldatos John | ||
Taylor & Francis, 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Cyber-Physical Threat Intelligence for Critical Infrastructures Security : Securing Critical Infrastructures in Air Transport, Water, Gas, Healthcare, Finance and Industry / / John Soldatos, Isabel Praça, Aleksandar Jovanović |
Autore | Soldatos John |
Pubbl/distr/stampa | Norwell, Massachusetts : , : Now Publishers, , 2021 |
Descrizione fisica | 1 online resource (626 pages) |
Disciplina | 005.8 |
Soggetto topico | Cyber intelligence (Computer security) |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part I "Securing Critical Infrastructures of Sensitive Industrial Plants and Sites": *Chapter 1 "InfraStress approach on risk modelling of cascading events with live data for decision support". *Chapter 2 "Cyber-physical adversarial attacks and countermeasures for deep learning vision systems on critical infrastructures".*Chapter 3 "Modelling of interdependencies among and InfraStress approach on risk modelling of cascading events with live data for decision support". *Chapter 4 "Data Visualisation for Situational Awareness in Industrial Critical Infrastructure: an InfraStress Case Study".*Chapter 5 "Critical Infrastructures, SIPS and Threat Intelligence: legal and ethical aspects of security research".Part II "Securing Critical Infrastructures in the Water Sector": *Chapter 6 "Cyber security importance in the water sector and the contribution of the STOP-IT project".*Chapter 7 "Cyber-Physical security for critical water infrastructures at strategic and tactical level". *Chapter 8 "Cyber-physical solutions for real-time detection at operational level". *Chapter 9 "Applying Machine Learning and Deep Learning algorithms for Anomaly Detection in Critical Water Infrastructures".Part III "Securing Critical Infrastructures for Air Transport": *Chapter 10 "Security Challenges for Critical Infrastructures in Air Transport".*Chapter 11 "Toolkit to enhance cyber-physical security of Critical Infrastructures in Air Transport".*Chapter 12 "Security ontologies as technological enabler for blended threat detection and enhanced systems interoperability".Part IV "Securing Critical Infrastructures for Gas": *Chapter 13 "Conceptual Model and CONOPS for Secure and Resilient Gas CI".*Chapter 14 "High-Level Reference Architecture (HLRA) for Gas Infrastructures Protection". *Chapter 15 "The SecureGas Key Performance Indicators for resilient gas critical infrastructures". *Chapter 16 "Communication of Security-related Incident Information to the Authorities and the Population".Part V "Securing Critical Infrastructures of the Healthcare Sector": *Chapter 17 "Security monitoring for medical devices".*Chapter 18 "User Experience models for threat monitoring and security management in healthcare". *Chapter 19 "Attacking and defending healthcare building automation networks".*Chapter 20 "An Intuitive Distributed Cyber Situational Awareness Framework Within a Healthcare Environment".Part VI "Securing Critical Infrastructures in the Finance Sector": *Chapter 21 "The FINSEC Platform: End-to-End Data-Driven Cyber-Physical Threat Intelligence for Critical Infrastructures in Finance". *Chapter 22 "Anomaly detection for critical financial infrastructure protection".Part VII "Critical Infrastructure Protection and Smart Resilience": *Chapter 23 "Indicator-based assessment of resilience of critical infrastructures: From single indicators to comprehensive "smart" assessment". |
Altri titoli varianti | Cyber-Physical Threat Intelligence for Critical Infrastructures Security |
Record Nr. | UNINA-9910522596803321 |
Soldatos John | ||
Norwell, Massachusetts : , : Now Publishers, , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Cyber-physical threat intelligence for critical infrastructures security : a guide to integrated cyber-physical protection of modern critical infrastructures / / John Soldatos |
Autore | Soldatos John |
Pubbl/distr/stampa | Hanover, Massachusetts : , : Now Publishers, , [2020] |
Descrizione fisica | 1 online resource (xliii, 456 pages) : illustrations |
Disciplina | 005.8 |
Soggetto topico |
Computer networks - Security measures
Cyber intelligence (Computer security) |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- Part I: Securing Critical Infrastructures of the Financial Sector -- Security Challenges for the Critical Infrastructures of the Financial Sector -- A Reference Architecture for Securing Infrastructures in the Finance Sector -- FINSTIX: A Security Knowledge Base for the Finance Sector -- Artificial Intelligence Gateway for Cyber-Physical Security in Critical Infrastructure and Finance -- Information Sharing and Stakeholders' Collaboration for Stronger Security in Financial Sector Supply Chains: A Blockchain Approach -- Automated Assistance to the Security Assessment of APIs for Financial Services -- Adaptive and Intelligent Data Collection for Security of Critical Financial Infrastructures and Services -- Part II: Securing Critical Infrastructures of the Health Sector -- Security Challenges for the Critical Infrastructures of the Healthcare Sector -- Security Systems in the Healthcare Sector -- Integrated Cyber-Physical Security Approach for Healthcare Sector -- Vulnerability and incident propagation in cyber-physical systems -- Innovative Toolkit to Assess and Mitigate Cyber Threats in the Healthcare Sector -- Part III: Securing Critical Infrastructures of the Energy Sector -- Security Challenges for the Critical Infrastructures of the Energy Sector -- Securing CEI by-designSecuring CEI by-innovation -- Part IV: Securing Critical Infrastructures of the Communications Sector -- Security and Resilience Challenges for the Critical Infrastructures of the Communications Sector -- Resilience enhancement and risk control Platform for Communication Infrastructure Operators -- Managed Security on 5G communication networks: the Software Defined Security paradigm -- Part V: Sector Agnostic Issues in Critical Infrastructures Protection -- Detection of innovative low-rate denial of service attacks against critical infrastructures -- Resilience analysis and quantification for Critical Infrastructures -- CISIApro Critical Infrastructures Modelling technique for an effective Decision Making Support -- Modern innovative detectors of physical threats for Critical Infrastructures -- The Ethical Aspects of Critical Infrastructure Protection. |
Altri titoli varianti | Cyber-Physical Threat Intelligence for Critical Infrastructures Security |
Record Nr. | UNINA-9910476756203321 |
Soldatos John | ||
Hanover, Massachusetts : , : Now Publishers, , [2020] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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