Because of the growing reliance on software, growing concerns are how reliable a system is before it is commissioned for use, how high is the level in the system, how many vulnerabilities exist in the system before its operationalization. Equally pressing issues concern how to secure the system from internal and external security threats that may exist in the face of resident vulnerabilities. The two problems are considered increasingly important because it necessitates the development of tools and techniques capable of analyzing the 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 modelling 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 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 free of vulnerabilities. This book covers the 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 develop.
The book covers the prime requirements for a secure Internet of Things (IoT) setup. The book discusses security concerns of an IoT setup by uncovering the present challenges in standardization of data routing, data integrity, device supervision, IoT integration, information storage, IoT performance, and security solutions.
1. A GNN Approach for Software Reliability
2. Software Reliability Prediction using Neural Networks: A Nonparametric 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 Among Urbanisation, Vegetation Health and Heat Island Through Markov Chain Model
6. Modeling and IoT (Internet of Things) Analysis for Smart Precision Agriculture
7. Software Engineering Challenges in the Development of Artificial Intelligence and Machine Learning Systems
8. Study and Analysis of Testing Effort Functions for Software Reliability Modelling
9. A 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-FeedForward Neural Network in Software Engineering
12. Software Security
13. Software Security Metrics Taxonomy
14. Real Time Supervisory Control and Data Acquisition (Scada) Model for Resourceful Use of Public Water Distribution
Javaid Iqbal is a Senior Assistant Professor in the Post Graduate Department of Computer Science, University of Kashmir, Srinagar Jammu and Kashmir, India. He did his PhD in Computer Science from the University of Kashmir in the year 2014.
Faheem Syeed Masoodi is Assistant Professor in the Department of Computer Science, University of Kashmir. Earlier, he served College of Computer Science, University of Jizan, Saudi Arabia as an Assistant Professor.
Ishfaq Ahmad Malik completed his Ph.D. degree in the year 2019 from Department of Mathematics, National Institute of Technology, Srinagar, Jammu and Kashmir, India.
Shozab Khurshid completed her Ph.D. degree in the year 2019 from PostGraduate Department of Computer Science, University of Kashmir, India.
Iqra Saraf completed her Ph.D. degree in the year 2019 from PostGraduate Department of Computer Science, University of Kashmir, India. Her research interests include software reliability, software optimization and software security.
Alwi M Bamhdi is an associate professor in the Department of Computer Sciences, Umm Al-Qura University, Saudi Arabia. He received his MSc and Ph.D. in computer science in 2014 from Heriot-Watt University, UK.
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