System Reliability and Security
Techniques and Methodologies
Herausgeber: Bamhdi, Alwi M.; Khurshid, Shozab; Iqbal, Javaid; Ahmad Malik, Ishfaq; Saraf, Iqra; Masoodi, Faheem Syeed
System Reliability and Security
Techniques and Methodologies
Herausgeber: Bamhdi, Alwi M.; Khurshid, Shozab; Iqbal, Javaid; Ahmad Malik, Ishfaq; Saraf, Iqra; Masoodi, Faheem Syeed
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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.
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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.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 256
- Erscheinungstermin: 7. Dezember 2023
- Abmessung: 234mm x 156mm
- Gewicht: 662g
- ISBN-13: 9781032386928
- ISBN-10: 1032386924
- Artikelnr.: 68714095
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 256
- Erscheinungstermin: 7. Dezember 2023
- Abmessung: 234mm x 156mm
- Gewicht: 662g
- ISBN-13: 9781032386928
- ISBN-10: 1032386924
- Artikelnr.: 68714095
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 Post¿Graduate Department of Computer Science, University of Kashmir, India. Iqra Saraf completed her Ph.D. degree in the year 2019 from Post¿Graduate 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.
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
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
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
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