Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Big-Data Analytics and Cloud Computing : Theory, Algorithms and Applications / / edited by Marcello Trovati, Richard Hill, Ashiq Anjum, Shao Ying Zhu, Lu Liu
| Big-Data Analytics and Cloud Computing : Theory, Algorithms and Applications / / edited by Marcello Trovati, Richard Hill, Ashiq Anjum, Shao Ying Zhu, Lu Liu |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (178 p.) |
| Disciplina | 004 |
| Soggetto topico |
Mathematical statistics
Computer communication systems Computer simulation Computer science—Mathematics Probability and Statistics in Computer Science Computer Communication Networks Simulation and Modeling Math Applications in Computer Science |
| ISBN | 3-319-25313-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Foreword; Preface; Overview and Goals; Organisation and Features; Target Audiences; Suggested Uses; Acknowledgements; Contents; Contributors; Part I Theory; 1 Data Quality Monitoring of Cloud Databases Based on Data Quality SLAs; 1.1 Introduction and Summary; 1.2 Background; 1.2.1 Data Quality in the Context of Big Data; 1.2.2 Cloud Computing; 1.2.3 Data Quality Monitoring in the Cloud; 1.2.4 The Challenge of Specifying a DQSLA; 1.2.5 The Infrastructure Estimation Problem; 1.3 Proposed Solutions; 1.3.1 Data Quality SLA Formalization; 1.3.2 Examples of Data Quality SLAs
1.3.3 Data Quality-Aware Service Architecture1.4 Future Research Directions; 1.5 Conclusions; References; 2 Role and Importance of Semantic Search in Big Data Governance; 2.1 Introduction; 2.2 Big Data: Promises and Challenges; 2.3 Participatory Design for Big Data; 2.4 Self-Service Discovery; 2.5 Conclusion; References; 3 Multimedia Big Data: Content Analysis and Retrieval; 3.1 Introduction; 3.2 The MapReduce Framework and Multimedia Big Data; 3.2.1 Indexing; 3.2.2 Caveats on Indexing; 3.2.3 Multiple Multimedia Processing; 3.2.4 Additional Work Required? 5 Integrating Twitter Traffic Information with Kalman Filter Models for Public Transportation Vehicle Arrival Time Prediction5.1 Introduction; 5.2 Communication Platform on Twitter; 5.3 Communication for Data Collection on Twitter; 5.4 Event Detection and Analysis: Tweets Relating to Road Incidents; 5.4.1 Twitter Data: Incident Data Set; 5.5 Methodology; 5.5.1 Time Series and Temporal Analysis of Textual Twitter; 5.6 Proposed Refined Kalman Filter (KF) Model-Based System; 5.7 Conclusion; References; 6 Data Science and Big Data Analytics at Career Builder 6.1 Carotene: A Job Title Classification System6.1.1 Occupation Taxonomies; 6.1.2 The Architecture of Carotene; 6.1.2.1 Taxonomy Discovery Using Clustering; 6.1.2.2 Coarse-Level Classification: SOC Major Classifier; 6.1.2.3 Fine-Level Classification: Proximity-Based Classifier; 6.1.3 Experimental Results and Discussion; 6.2 CARBi: A Data Science Ecosystem; 6.2.1 Accessing CB Data and Services Using WebScalding; 6.2.2 ScriptDB: Managing Hadoop Jobs; References; 7 Extraction of Bayesian Networks from Large Unstructured Datasets; 7.1 Introduction; 7.2 Text Mining; 7.2.1 Text Mining Techniques 7.2.2 General Architecture and Various Components of Text Mining |
| Record Nr. | UNINA-9910298964403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data Science and Artificial Intelligence for Digital Healthcare : Communications Technologies for Epidemic Models / / edited by Pradeep Kumar Singh, Marcello Trovati, Fionn Murtagh, Mohammed Atiquzzaman, Mohsen Farid
| Data Science and Artificial Intelligence for Digital Healthcare : Communications Technologies for Epidemic Models / / edited by Pradeep Kumar Singh, Marcello Trovati, Fionn Murtagh, Mohammed Atiquzzaman, Mohsen Farid |
| Autore | Singh Pradeep Kumar |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (284 pages) |
| Disciplina | 610.285 |
| Altri autori (Persone) |
TrovatiMarcello
MurtaghFionn AtiquzzamanMohammed FaridMohsen |
| Collana | Signals and Communication Technology |
| Soggetto topico |
Telecommunication
Cooperating objects (Computer systems) Medical informatics Artificial intelligence Artificial intelligence - Data processing Communications Engineering, Networks Cyber-Physical Systems Health Informatics Artificial Intelligence Data Science |
| ISBN |
9783031568183
9783031568176 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- PART-1: PANDEMIC MODELS USING DATA SCIENCE AND ARTIFICIAL INTELLIGENCE -- Data science for preventive care -- Artificial intelligence and deep learning for epidemic models -- Data analytics and cognitive computing for mobile digital health -- Multimedia big data for digital health and related topics -- PART-2: ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN HEALTHCARE 4.0 -- Artificial intelligence and deep learning for clinical diagnosis -- AI- supported healthcare in IoT-cloud based platforms -- AI- empowered big data analytics and cognitive computing for smart health monitoring -- AI and ML techniques for intelligent mobile digital health solutions -- PART-3: IoT, EDGE/FOG AND CLOUD IN DIGITAL HEALTHCARE -- Wireless sensor networks & IoT for digital health -- Internet of Medical Things (IoMT) in digital health -- Advanced AIIoT convergent services, systems, infrastructure, and techniques for healthcare -- AI-supported IoT data analytics for smart healthcare -- Fog/edge Computing for digital health -- PART-4: DISTRIBUTED LEDGER AND SECURITY SOLUTIONS FOR DIGITAL HEALTHCARE RECORDS -- Block chain based electronic health record -- Blockchain for digital health Security -- Cyber Physical Systems for digital healthcare records -- Cryptography and other security solutions for the digital healthcare -- PART-5: INNOVATIVE SOLUTIONS IN MOBILE DIGITAL HEALTHCARE -- Computer aided detection and diagnosis -- Elderly smart health monitoring environments and related topics -- Conclusion. |
| Record Nr. | UNINA-9910882901103321 |
Singh Pradeep Kumar
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Guide to Computational Modelling for Decision Processes : Theory, Algorithms, Techniques and Applications / / edited by Stuart Berry, Val Lowndes, Marcello Trovati
| Guide to Computational Modelling for Decision Processes : Theory, Algorithms, Techniques and Applications / / edited by Stuart Berry, Val Lowndes, Marcello Trovati |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XII, 396 p. 170 illus., 101 illus. in color.) |
| Disciplina | 004 |
| Collana | Simulation Foundations, Methods and Applications |
| Soggetto topico |
Computer simulation
Algorithms Operations research Mathematics Computer science - Mathematics Mathematical statistics Computer Modelling Operations Research and Decision Theory Applications of Mathematics Probability and Statistics in Computer Science |
| ISBN | 3-319-55417-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Introduction to Modelling and Model Evaluation -- Model Building -- Introduction to Cellular Automata in Simulation -- Introduction to Mathematical Programming -- Heuristic Techniques in Optimisation -- Introduction to the Use of Queueing Theory and Simulation -- Part II: Case Studies -- Case Studies: Using Heuristics -- Further Use of Heuristic Methods -- Air Traffic Controllers Planning: A Rostering Problem -- Solving Multiple Objective Problems: Modelling Diet Problems -- Fuzzy Scheduling Applied to Small Manufacturing Firms -- The Design and Optimisation of Surround Sound Decoders Using Heuristic Methods -- System Dynamics Case Studies -- Applying Queueing Theory to the Design of a Traffic Light Controller -- Cellular Automata and Agents in Simulations -- Three Big Data Case Studies -- Part III: Appendices -- Appendix A: Queueing Theory -- Appendix B: Function Optimisation Techniques: Genetic Algorithms and Tabu Searches -- Appendix C: What to Simulate to Evaluate Production Planning and Control Methods in Small Manufacturing Firms -- Appendix D: Defining Boolean and Fuzzy Logic Operators -- Appendix E: Assessing the Reinstated Waverley Line -- Appendix F: Matching Services with Users in Opportunistic Network Environments. |
| Record Nr. | UNINA-9910254830203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Guide to Security Assurance for Cloud Computing / / edited by Shao Ying Zhu, Richard Hill, Marcello Trovati
| Guide to Security Assurance for Cloud Computing / / edited by Shao Ying Zhu, Richard Hill, Marcello Trovati |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XVIII, 229 p. 39 illus.) |
| Disciplina | 005.8 |
| Collana | Computer Communications and Networks |
| Soggetto topico |
Computer security
Computer communication systems Management information systems Computer science Systems and Data Security Computer Communication Networks Management of Computing and Information Systems |
| ISBN | 3-319-25988-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword -- Preface -- Overview and Goals -- Organisation and Features -- Target Audiences -- Suggested Uses -- Acknowledgements -- Contents -- Contributors -- About the Editors -- Part I Key Concepts -- 1 Privacy, Compliance and the Cloud -- 1.1 Introduction -- 1.2 Compliance: The State of the Art -- 1.3 Compliance: Emerging Standards -- 1.4 Compliance: Future Work -- 1.5 How Effective Is the Compliance Model? -- 1.6 Concluding Remarks -- 1.7 Review Questions -- References -- 2 Cryptographic Tools for Cloud Environments -- 2.1 Introduction -- 2.2 Fundamental Cryptographic Mechanisms -- 2.2.1 Symmetric Encryption -- 2.2.2 Public-Key Encryption -- 2.2.3 Hash Functions -- 2.2.4 Message Authentication Codes -- 2.2.5 Digital Signature Schemes -- 2.2.6 Authenticated Encryption -- 2.3 Limitations of Conventional Cryptography -- 2.4 Cryptographic Mechanisms for the Cloud -- 2.4.1 Processing Encrypted Data -- 2.4.1.1 Searching Over Encrypted Data -- 2.4.1.2 Homomorphic Encryption -- 2.4.1.3 Computing Aggregates Over Encrypted Data -- 2.4.1.4 Order-Preserving Encryption -- 2.4.2 Functional Encryption -- 2.4.2.1 Identity-Based Encryption -- 2.4.2.2 Attribute-Based Encryption -- 2.4.2.3 Predicate Encryption -- 2.4.3 Verifiable Computing -- 2.4.3.1 Verifiable Outsourced Computation -- 2.4.3.2 Verifiable Storage -- 2.4.4 Other Tools -- 2.4.4.1 Proxy Re-encryption -- 2.4.4.2 Oblivious RAM -- 2.4.4.3 Format-Preserving Encryption -- 2.4.4.4 Secure Deduplication -- 2.5 Closing Remarks -- 2.6 Review Questions -- References -- 3 Migrating to Public Clouds - From a Security Perspective -- 3.1 Introduction -- 3.2 Clouds and Features -- 3.3 Migration Concerns -- 3.4 Security and Privacy in Public Clouds -- 3.5 Migrating to Public Clouds - An Experimental Analysis -- 3.5.1 Research Design -- 3.5.2 Statistical Analysis -- 3.6 Results and Interpretation.
3.6.1 Question 1 -- 3.6.2 Question 2 -- 3.6.3 Question 3 -- 3.6.4 Question 4 -- 3.6.5 Question 5 -- 3.6.6 Question 6 -- 3.6.7 Question 7 -- 3.7 Summary -- 3.8 Conclusion -- 3.9 Review Questions -- References -- 4 Virtualization Security in Cloud Computing -- 4.1 Introduction -- 4.2 Virtualization -- 4.3 Virtualization Security -- 4.4 Virtualization Attacks -- 4.4.1 Hypervisor Attacks -- 4.4.2 Virtual Machine Attacks -- 4.4.3 Disk Image Attacks -- 4.5 Security Solutions -- 4.5.1 Hypervisor Security -- 4.5.2 Virtual Machine Security -- 4.5.3 Disk Images Security -- 4.6 Recommendations for Secure Usage of Virtual Machines -- 4.6.1 Secure Network -- 4.6.2 Disabling the Non-required Features -- 4.6.3 Disconnect Unused Hardware Devices -- 4.6.4 Backup of Virtual Machine Images -- 4.6.5 Hardening of Virtual Machines -- 4.6.6 Auditing -- 4.7 Industrial Survey -- 4.7.1 Storage Made Easy -- 4.7.2 Piston Cloud -- 4.7.3 Metacloud -- 4.8 Conclusion -- 4.9 Review Questions -- References -- 5 Security of Cloud-Based Storage -- 5.1 Introduction to Cloud Storage -- 5.2 Organization -- 5.3 Cloud Storage Architecture -- 5.4 Cloud Storage Security Architecture -- 5.5 Deduplication for Efficient Storage -- 5.6 Techniques Used for Maintaining Security in Cloud Storage -- 5.7 Comparison Between Various Available Secure Cloud Storage Techniques -- 5.7.1 Cloud Storage Techniques of Category A -- 5.7.1.1 ESPAC Scheme -- 5.7.1.2 Kamara et al.'s Scheme -- 5.7.1.3 Key to Cloud (K2C) Scheme -- 5.7.1.4 Cryptonite Scheme -- 5.7.1.5 Sec2 Scheme -- 5.7.2 Cloud Storage Techniques of Category B -- 5.7.2.1 Chow et al.'s Scheme -- 5.7.2.2 Cloud Storage System (CS2) -- 5.8 Security-Related Case Studies in Cloud Storage -- 5.8.1 Dropbox -- 5.8.2 Microsoft Azure -- 5.8.3 Amazon EC2 -- 5.9 Security Guidelines for Cloud Storage -- 5.9.1 Login Credential Safety. 5.9.2 Encryption of the Stored Data -- 5.9.3 Security Along with Deduplication -- 5.9.4 Transport Security -- 5.9.5 Multiple Devices Accessibility -- 5.9.6 Update Functionality of System -- 5.10 Summary -- 5.11 Review Questions -- References -- 6 Cloud Computing Governance, Risk, and Compliance - The Quintessential Globalization Challenge -- 6.1 Industry Buy-in, Consensus, and Reciprocity -- 6.2 Definitions -- 6.3 Governance Focus Areas -- 6.4 Organizations and Standards -- 6.4.1 Industry Community Groups -- 6.4.2 FEDRAMP -- 6.4.3 ISO -- 6.4.3.1 ISO 9001:2015 -- 6.4.3.2 ISO 12207:2008 -- 6.4.3.3 ISO 15504:2012 -- 6.4.3.4 ISO 20000-1:2011 -- 6.4.3.5 ISO 26262:2011 -- 6.4.3.6 ISO 27000 Series -- 6.5 Way Forward -- 6.6 Review Questions -- References -- 7 Cloud Computing and Security in the Future -- 7.1 Introduction -- 7.2 The Cloud Model -- 7.3 Privacy and Security -- 7.4 The Data Protection Act and Cloud Computing -- 7.5 The Future -- 7.6 Conclusion -- 7.7 Review Questions -- References -- Part II Application and Approaches -- 8 Security Certification for the Cloud: The CUMULUS Approach -- 8.1 Introduction -- 8.2 Certification Process and Framework Architecture -- 8.2.1 CM Instance and CM Template -- 8.2.2 Certification Process -- 8.2.3 Architecture -- 8.3 Basic Certification Models -- 8.3.1 Monitoring-Based Certification Models -- 8.3.2 Test-Based Certification Models -- 8.3.3 TC-Based Certification Models -- 8.4 Advanced Certification Models -- 8.4.1 Hybrid Certification Models -- 8.4.2 Compositional Certification Models -- 8.4.3 Incremental Certification Models -- 8.4.3.1 CM Instance Adaptation -- 8.4.3.2 CM Template Adaptation -- 8.5 Trust Model -- 8.6 Related Work -- 8.7 Conclusions -- 8.8 Review Questions -- References -- 9 Improving Cloud Assurance and Transparency Through Accountability Mechanisms -- 9.1 Introduction -- 9.2 State of the Art. 9.3 The Relationship Between Accountability and Assurance -- 9.4 Case Study -- 9.5 Risk Assessment -- 9.6 Service Level Agreements -- 9.6.1 Importance of secSLAs and PLAs for Cloud Transparency -- 9.6.2 How Are secSLAs and PLAs Structured? -- 9.7 Continuous Assurance During Service Provision -- 9.8 Example Tools -- 9.8.1 Phase 1: Provisioning for Accountability -- 9.8.1.1 Cloud Offerings Advisory Tool (COAT) -- 9.8.1.2 Data Protection Impact Assessment Tool (DPIAT) -- 9.8.2 Phase 2: Operating in an Accountable Manner -- 9.8.3 Phase 3: Audit and Validate -- 9.8.4 Architecture of the Audit Agent System -- 9.8.4.1 Input: Audit Policy Module (APM) -- 9.8.4.2 Runtime Management: Audit Agent Controller (AAC) -- 9.8.4.3 Collection and Storage: Evidence Collection Agents and Evidence Store -- 9.8.4.4 Processing and Presentation: Evidence Processor and Presenter -- 9.9 Conclusions -- 9.10 Review Questions -- References -- 10 DDoS Protection and Security Assurance in Cloud -- 10.1 Introduction -- 10.2 DDoS in Cloud Computing -- 10.2.1 History and Recent Incidents -- 10.2.2 DDoS on Fixed Infrastructure -- 10.2.3 DDoS on Cloud Infrastructure -- 10.3 Attack Model and Threat Model -- 10.3.1 Attack Model -- 10.3.2 Threat Model -- 10.4 System Model -- 10.5 DDoS Protection in Cloud -- 10.5.1 DDoS Prevention Methods -- 10.5.2 Anomaly Detection -- 10.5.3 Resource Allocation-Based Methods -- 10.6 DDoS Security Assurance in Cloud -- 10.7 Chapter Summary -- 10.8 Review Questions -- References -- 11 Cloud Data Auditing Using Proofs of Retrievability -- 11.1 Introduction -- 11.2 Preliminaries -- 11.2.1 Notation -- 11.2.2 Message Authentication Code (MAC) -- 11.2.3 Bilinear Maps -- 11.2.4 Digital Signature -- 11.2.5 Erasure Code -- 11.2.6 Oblivious RAM -- 11.2.7 Proofs of Retrievability -- 11.3 Proofs of Retrievability for Static Data. 11.3.1 POR Scheme by Juels and Kaliski -- 11.3.2 POR Schemes by Shacham and Waters -- 11.3.2.1 POR Scheme with Private Verification -- 11.3.2.2 POR Scheme with Public Verification -- 11.4 Proofs of Retrievability for Dynamic Data -- 11.4.1 POR Scheme by Cash, Küpçü and Wichs -- 11.4.2 POR Scheme by Shi, Stefanov, and Papamanthou -- 11.5 Conclusion -- 11.6 Review Questions -- References -- 12 Vehicular Cloud Networks: Architecture and Security -- 12.1 Cloud Computing -- 12.2 Vehicular Ad Hoc Networks (VANET) -- 12.2.1 VANET Architecture -- 12.2.2 Components of VANET -- 12.2.3 Important Characteristics of VANET -- 12.2.3.1 Decentralized Systems -- 12.2.3.2 High-Speed Mobility and Dynamic Topology -- 12.2.3.3 Cooperative Message Routing -- 12.2.3.4 Real-Time Processing -- 12.2.3.5 User and Data Privacy -- 12.3 Vehicular Cloud Networking (VCN) -- 12.3.1 Vehicular-Based Cloud Networking (VCN) Architecture -- 12.3.2 Vehicular-Based Cloud Networking (VCN) Operation -- 12.4 Threats in Vehicular-Based Cloud Networking -- 12.4.1 Threats to Tier-1 and Tier-2 Clouds -- 12.4.1.1 Vehicle -- 12.4.1.2 Adjacent Infrastructure -- 12.4.1.3 Wireless Communication -- 12.4.1.4 Messages -- 12.4.1.5 Vehicular Cloud -- 12.4.1.6 Infrastructure Cloud -- 12.4.2 Threats to Tier-3 Cloud -- 12.4.2.1 Data Breaches -- 12.4.2.2 Data Loss -- 12.4.2.3 Account or Service Hijacking -- 12.4.2.4 Denial of Service -- 12.4.2.5 Insecure Interfaces and APIs -- 12.4.2.6 Malicious Insider -- 12.4.2.7 Abuse of Cloud Services -- 12.4.2.8 Shared Technology Vulnerabilities -- 12.5 Review Questions -- References -- Index. |
| Record Nr. | UNINA-9910298966203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||