Buch, Englisch, 272 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 421 g
Techniques and Methodologies
Buch, Englisch, 272 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 421 g
ISBN: 978-1-032-38691-1
Verlag: Auerbach Publications
System Reliability and Security: Techniques and Methodologies focuses on the use of soft computing techniques and analytical techniques in the modeling and analysis of dependable and secure systems. It examines systems and applications having complex distributed or networked architectures in such fields as:
- Nuclear energy
- Ground transportation systems
- Air traffic control
- Healthcare and medicine
- Communications
System reliability engineering is a multidisciplinary field that uses computational methods for estimating or predicting the reliability aspects of a system and analyzing failure data obtained from real-world projects. System security is a related field that ensures that even a reliable system is secure against accidental or deliberate intrusions and is free of vulnerabilities. This book covers tools and techniques, cutting-edge research topics, and methodologies in the areas of system reliability and security. It examines prediction models and methods as well as how to secure a system as it is being developed.
Zielgruppe
Professional Practice & Development
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering Softwaretests & Prüfsoftware
- Technische Wissenschaften Technik Allgemein Technik: Allgemeines
Weitere Infos & Material
1. A GNN Approach for Software Reliability, 2. Software Reliability Prediction Using Neural Networks: A Non-parametric Approach, 3. Analysis and Modelling of Software Reliability Using Deep Learning Methods, 4. Fixed-Design Local Polynomial Approach for Estimation and Hypothesis Testing of Reliability Measures, 5. Reliability Analysis of Relation between Urbanization, Vegetation Health, and Heat Island Through Markov Chain Model, 6. Modeling and IoT (Internet of Things) Analysis for Smart Precision Agriculture, 7. Engineering Challenges in the Development of Artificial Intelligence and Machine Learning Software Systems, 8. Study and Analysis of Testing Effort Functions for Software Reliability Modeling, 9. Summary of NHPP-Based Software Reliability Modeling With Lindley-Type Distributions, 10. Artificial Intelligence and Machine Learning Problems and Challenges in Software Testing, 11. Software Quality Prediction by CatBoost: Feed-Forward Neural Network in Software Engineering, 12. Software Security, 13. Definitive Guide to Software Security Metrics, 14. Real-Time Supervisory Control and Data Acquisition (SCADA) Model for Resourceful Distribution and Use of Public Water