Description

Book Synopsis

Because of the growing reliance on software, concerns are growing as to how reliable a system is before it is commissioned for use, how high the level of reliability is in the system, and how many vulnerabilities exist in the system before its operationalization. Equally pressing issues include how to secure the system from internal and external security threats that may exist in the face of resident vulnerabilities. These two problems are considered increasingly important because they necessitate the development of tools and techniques capable of analyzing dependability and security aspects of a system. These concerns become more pronounced in the cases of safety-critical and mission-critical systems.

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 dist

Table of Contents

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

System Reliability and Security

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    Order before 4pm today for delivery by Wed 24 Jun 2026.

    A Paperback by Javaid Iqbal, Faheem Syeed Masoodi, Ishfaq Ahmad Malik

    15 in stock


      View other formats and editions of System Reliability and Security by Javaid Iqbal

      Publisher: Taylor & Francis Ltd
      Publication Date: 12/7/2023 12:00:00 AM
      ISBN13: 9781032386911, 978-1032386911
      ISBN10: 1032386916

      Description

      Book Synopsis

      Because of the growing reliance on software, concerns are growing as to how reliable a system is before it is commissioned for use, how high the level of reliability is in the system, and how many vulnerabilities exist in the system before its operationalization. Equally pressing issues include how to secure the system from internal and external security threats that may exist in the face of resident vulnerabilities. These two problems are considered increasingly important because they necessitate the development of tools and techniques capable of analyzing dependability and security aspects of a system. These concerns become more pronounced in the cases of safety-critical and mission-critical systems.

      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 dist

      Table of Contents

      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

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