System Reliability and Security

Techniques and Methodologies

Javaid Iqbal, Faheem Syeed Masoodi, Ishfaq Ahmad Malik, Shozab Khurshid, Iqra Saraf, Alwi M. Bamhdi, Javaid Iqbal, Faheem Syeed Masoodi, Ishfaq Ahmad Malik, Shozab Khurshid, Iqra Saraf, Alwi M. Bamhdi, Alwi M Bamhdi, Javaid Iqbal, Faheem Syeed Masoodi, Ishfaq Ahmad Malik, Shozab Khurshid, Iqra Saraf, Alwi M Bamhdi

• Publisher: Auerbach Publications
• Year: 2023
• Print ISBN: 9781032386928
• eBook ISBN: 9781003808114
• Edition: 1
• Topic: Computer Science
• Subtopic: Cyber Security
• Index: Computer Science

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 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.

Table of contents

• Cover
• Half-Title Page
• Title Page
• Copyright Page
• Table of Contents
• List of Contributors
• Chapter 1 GNN Approach for Software Reliability
• Chapter 2 Software Reliability Prediction Using Neural Networks: A Non-parametric Approach
• Chapter 3 Analysis and Modeling of Software Reliability Using Deep Learning Methods
• Chapter 4 Fixed-Design Local Polynomial Approach for Estimation and Hypothesis Testing of Reliability Measures
• Chapter 5 Reliability Analysis of Relation between Urbanization, Vegetation Health, and Heat Island Through Markov Chain Model
• Chapter 6 Modeling and IoT (Internet of Things) Analysis for Smart Precision Agriculture
• Chapter 7 Engineering Challenges in the Development of Artificial Intelligence and Machine Learning Software Systems
• Chapter 8 Study and Analysis of Testing Effort Functions for Software Reliability Modeling
• Chapter 9 Summary of NHPP-Based Software Reliability Modeling With Lindley-Type Distributions
• Chapter 10 Artificial Intelligence and Machine Learning Problems and Challenges in Software Testing
• Chapter 11 Software Quality Prediction by CatBoostFeed-Forward Neural Network in Software Engineering
• Chapter 12 Software Security
• Chapter 13 Definitive Guide to Software Security Metrics
• Chapter 14 Real-Time Supervisory Control and Data Acquisition (SCADA) Model for Resourceful Distribution and Use of Public Water
• Index