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Cyber-risk informatics : engineering evaluation with data sciencef / / Mehmet Sahinoglu, PhD
| Cyber-risk informatics : engineering evaluation with data sciencef / / Mehmet Sahinoglu, PhD |
| Autore | Sahinoglu Mehmet <1951-> |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2016 |
| Descrizione fisica | 1 online resource (745 p.) |
| Disciplina | 005.8 |
| Collana | New York Academy of Sciences |
| Soggetto topico |
Cyber intelligence (Computer security)
Computer systems - Reliability Computer software - Reliability Computer networks - Security measures - Data processing Risk assessment - Statistical methods |
| ISBN |
1-119-08752-X
1-119-08753-8 |
| Classificazione |
007.1
005.8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Metrics, statistical quality control and basic reliability in cyber-risk -- Complex network reliability evaluation and estimation in cyber-risk -- Stopping rules for reliability and security tests in cyber-risk -- Security assessment and management in cyber-risk -- Game-theoretic computing in cyber-risk -- Modeling and simulation in cyber-risk -- Cloud computing in cyber-risk -- Software reliability modeling and metrics in cyber-risk -- Metrics for software reliability failure-count models in cyber-risk -- Practical hands-on lab topics in cyber-risk. |
| Record Nr. | UNINA-9910796686603321 |
Sahinoglu Mehmet <1951->
|
||
| Hoboken, New Jersey : , : Wiley, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Cyber-risk informatics : engineering evaluation with data sciencef / / Mehmet Sahinoglu, PhD
| Cyber-risk informatics : engineering evaluation with data sciencef / / Mehmet Sahinoglu, PhD |
| Autore | Sahinoglu Mehmet <1951-> |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2016 |
| Descrizione fisica | 1 online resource (745 p.) |
| Disciplina | 005.8 |
| Collana | New York Academy of Sciences |
| Soggetto topico |
Cyber intelligence (Computer security)
Computer systems - Reliability Computer software - Reliability Computer networks - Security measures - Data processing Risk assessment - Statistical methods |
| ISBN |
1-119-08752-X
1-119-08753-8 |
| Classificazione |
007.1
005.8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Metrics, statistical quality control and basic reliability in cyber-risk -- Complex network reliability evaluation and estimation in cyber-risk -- Stopping rules for reliability and security tests in cyber-risk -- Security assessment and management in cyber-risk -- Game-theoretic computing in cyber-risk -- Modeling and simulation in cyber-risk -- Cloud computing in cyber-risk -- Software reliability modeling and metrics in cyber-risk -- Metrics for software reliability failure-count models in cyber-risk -- Practical hands-on lab topics in cyber-risk. |
| Record Nr. | UNINA-9910814733203321 |
|
Sahinoglu Mehmet <1951->
|
||
| Hoboken, New Jersey : , : Wiley, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Trustworthy computing [[electronic resource] ] : analytical and quantitative engineering evaluation / / M. Sahinoglu
| Trustworthy computing [[electronic resource] ] : analytical and quantitative engineering evaluation / / M. Sahinoglu |
| Autore | Sahinoglu Mehmet <1951-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2007 |
| Descrizione fisica | 1 online resource (344 p.) |
| Disciplina | 005.8 |
| Soggetto topico |
Computer security
Computer software - Reliability Computer systems - Reliability |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-93512-X
9786610935123 0-470-12787-2 0-470-12786-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
TRUSTWORTHY COMPUTING; CONTENTS; Foreword; Preface; Acknowledgments; 1 Fundamentals of Component and System Reliability and Review of Software Reliability; 1.1 Functions of Importance in Reliability; 1.2 Hazard Rate Functions in Reliability; 1.3 Common Distributions and Random Number Generations; 1.3.1 Uniform (Rectangular) p.d.f; 1.3.2 Triangular p.d.f.; 1.3.3 Negative Exponential p.d.f., Pareto, and Power Functions; 1.3.4 Gamma, Erlang, and Chi-Square p.d.f.'s; 1.3.5 Student's t-Distribution; 1.3.6 Fisher's F-Distribution; 1.3.7 Two- and Three-Parameter (Sahinoglu-Libby) Beta p.d.f.'s
1.3.8 Poisson p.m.f.1.3.9 Bernoulli, Binomial, and Multinomial p.m.f.'s; 1.3.10 Geometric p.m.f.; 1.3.11 Negative Binomial and Pascal p.m.f.'s; 1.3.12 Weibull p.d.f.; 1.3.13 Normal p.d.f.; 1.3.14 Lognormal p.d.f.; 1.3.15 Logistic p.d.f.; 1.3.16 Cauchy p.d.f.; 1.3.17 Hypergeometric p.m.f.; 1.3.18 Extreme Value (Gumbel) p.d.f.'s; 1.3.19 Summary of the Distributions and Relationships Most Commonly Used; 1.4 Life Testing for Component Reliability; 1.4.1 Estimation Methods for Complete Data; 1.4.2 Estimation Methods for Incomplete Data; 1.5 Redundancy in System Reliability 1.5.1 Series System Reliability1.5.2 Active Parallel Redundancy; 1.5.3 Standby Redundancy; 1.5.4 Other Redundancy Limitations: Common-Mode Failures and Load Sharing; 1.6 Review of Software Reliability Growth Models; 1.6.1 Software Reliability Models in the Time Domain; 1.6.2 Classification of Reliability Growth Models; Appendix 1A: 500 Computer-Generated Random Numbers; References; Exercises; 2 Software Reliability Modeling with Clustered Failure Data and Stochastic Measures to Compare Predictive Accuracy of Failure-Count Models 2.1 Software Reliability Models Using the Compound Poisson Model2.1.1 Notation and Introduction; 2.1.2 Background and Motivation; 2.1.3 Maximum Likelihood Estimation in the Poisson^Geometric Model; 2.1.4 Nonlinear Regression Estimation in the Poisson^Geometric Model; 2.1.5 Calculation of Forecast Quality and Comparison of Methods; 2.1.6 Discussion and Conclusions; 2.2 Stochastic Measures to Compare Failure-Count Reliability Models; 2.2.1 Introduction and Motivation; 2.2.2 Definitions and Notation; 2.2.3 Model, Data, and Computational Formulas; 2.2.4 Prior Distribution Approach 2.2.5 Applications to Data Sets and Computations2.2.6 Discussion and Conclusions; References; Exercises; 3 Quantitative Modeling for Security Risk Assessment; 3.1 Decision Tree Model to Quantify Risk; 3.1.1 Motivation; 3.1.2 Risk Scenarios; 3.1.3 Quantitative Security Meter Model; 3.1.4 Model Application and Results; 3.1.5 Modifying the Quantitative Model for Qualitative Data; 3.1.6 Hybrid Security Meter Model for Both Quantitative and Qualitative Data; 3.1.7 Simulation Study and Conclusions; 3.2 Bayesian Applications for Prioritizing Software Maintenance; 3.2.1 Motivation 3.2.2 Bayesian Rule in Statistics and Applications for Software Maintenance |
| Record Nr. | UNINA-9910143689403321 |
|
Sahinoglu Mehmet <1951->
|
||
| Hoboken, N.J., : Wiley-Interscience, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Trustworthy computing [[electronic resource] ] : analytical and quantitative engineering evaluation / / M. Sahinoglu
| Trustworthy computing [[electronic resource] ] : analytical and quantitative engineering evaluation / / M. Sahinoglu |
| Autore | Sahinoglu Mehmet <1951-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2007 |
| Descrizione fisica | 1 online resource (344 p.) |
| Disciplina | 005.8 |
| Soggetto topico |
Computer security
Computer software - Reliability Computer systems - Reliability |
| ISBN |
1-280-93512-X
9786610935123 0-470-12787-2 0-470-12786-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
TRUSTWORTHY COMPUTING; CONTENTS; Foreword; Preface; Acknowledgments; 1 Fundamentals of Component and System Reliability and Review of Software Reliability; 1.1 Functions of Importance in Reliability; 1.2 Hazard Rate Functions in Reliability; 1.3 Common Distributions and Random Number Generations; 1.3.1 Uniform (Rectangular) p.d.f; 1.3.2 Triangular p.d.f.; 1.3.3 Negative Exponential p.d.f., Pareto, and Power Functions; 1.3.4 Gamma, Erlang, and Chi-Square p.d.f.'s; 1.3.5 Student's t-Distribution; 1.3.6 Fisher's F-Distribution; 1.3.7 Two- and Three-Parameter (Sahinoglu-Libby) Beta p.d.f.'s
1.3.8 Poisson p.m.f.1.3.9 Bernoulli, Binomial, and Multinomial p.m.f.'s; 1.3.10 Geometric p.m.f.; 1.3.11 Negative Binomial and Pascal p.m.f.'s; 1.3.12 Weibull p.d.f.; 1.3.13 Normal p.d.f.; 1.3.14 Lognormal p.d.f.; 1.3.15 Logistic p.d.f.; 1.3.16 Cauchy p.d.f.; 1.3.17 Hypergeometric p.m.f.; 1.3.18 Extreme Value (Gumbel) p.d.f.'s; 1.3.19 Summary of the Distributions and Relationships Most Commonly Used; 1.4 Life Testing for Component Reliability; 1.4.1 Estimation Methods for Complete Data; 1.4.2 Estimation Methods for Incomplete Data; 1.5 Redundancy in System Reliability 1.5.1 Series System Reliability1.5.2 Active Parallel Redundancy; 1.5.3 Standby Redundancy; 1.5.4 Other Redundancy Limitations: Common-Mode Failures and Load Sharing; 1.6 Review of Software Reliability Growth Models; 1.6.1 Software Reliability Models in the Time Domain; 1.6.2 Classification of Reliability Growth Models; Appendix 1A: 500 Computer-Generated Random Numbers; References; Exercises; 2 Software Reliability Modeling with Clustered Failure Data and Stochastic Measures to Compare Predictive Accuracy of Failure-Count Models 2.1 Software Reliability Models Using the Compound Poisson Model2.1.1 Notation and Introduction; 2.1.2 Background and Motivation; 2.1.3 Maximum Likelihood Estimation in the Poisson^Geometric Model; 2.1.4 Nonlinear Regression Estimation in the Poisson^Geometric Model; 2.1.5 Calculation of Forecast Quality and Comparison of Methods; 2.1.6 Discussion and Conclusions; 2.2 Stochastic Measures to Compare Failure-Count Reliability Models; 2.2.1 Introduction and Motivation; 2.2.2 Definitions and Notation; 2.2.3 Model, Data, and Computational Formulas; 2.2.4 Prior Distribution Approach 2.2.5 Applications to Data Sets and Computations2.2.6 Discussion and Conclusions; References; Exercises; 3 Quantitative Modeling for Security Risk Assessment; 3.1 Decision Tree Model to Quantify Risk; 3.1.1 Motivation; 3.1.2 Risk Scenarios; 3.1.3 Quantitative Security Meter Model; 3.1.4 Model Application and Results; 3.1.5 Modifying the Quantitative Model for Qualitative Data; 3.1.6 Hybrid Security Meter Model for Both Quantitative and Qualitative Data; 3.1.7 Simulation Study and Conclusions; 3.2 Bayesian Applications for Prioritizing Software Maintenance; 3.2.1 Motivation 3.2.2 Bayesian Rule in Statistics and Applications for Software Maintenance |
| Record Nr. | UNINA-9910829817903321 |
|
Sahinoglu Mehmet <1951->
|
||
| Hoboken, N.J., : Wiley-Interscience, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Trustworthy computing [[electronic resource] ] : analytical and quantitative engineering evaluation / / M. Sahinoglu
| Trustworthy computing [[electronic resource] ] : analytical and quantitative engineering evaluation / / M. Sahinoglu |
| Autore | Sahinoglu Mehmet <1951-> |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2007 |
| Descrizione fisica | 1 online resource (344 p.) |
| Disciplina | 005.8 |
| Soggetto topico |
Computer security
Computer software - Reliability Computer systems - Reliability |
| ISBN |
1-280-93512-X
9786610935123 0-470-12787-2 0-470-12786-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
TRUSTWORTHY COMPUTING; CONTENTS; Foreword; Preface; Acknowledgments; 1 Fundamentals of Component and System Reliability and Review of Software Reliability; 1.1 Functions of Importance in Reliability; 1.2 Hazard Rate Functions in Reliability; 1.3 Common Distributions and Random Number Generations; 1.3.1 Uniform (Rectangular) p.d.f; 1.3.2 Triangular p.d.f.; 1.3.3 Negative Exponential p.d.f., Pareto, and Power Functions; 1.3.4 Gamma, Erlang, and Chi-Square p.d.f.'s; 1.3.5 Student's t-Distribution; 1.3.6 Fisher's F-Distribution; 1.3.7 Two- and Three-Parameter (Sahinoglu-Libby) Beta p.d.f.'s
1.3.8 Poisson p.m.f.1.3.9 Bernoulli, Binomial, and Multinomial p.m.f.'s; 1.3.10 Geometric p.m.f.; 1.3.11 Negative Binomial and Pascal p.m.f.'s; 1.3.12 Weibull p.d.f.; 1.3.13 Normal p.d.f.; 1.3.14 Lognormal p.d.f.; 1.3.15 Logistic p.d.f.; 1.3.16 Cauchy p.d.f.; 1.3.17 Hypergeometric p.m.f.; 1.3.18 Extreme Value (Gumbel) p.d.f.'s; 1.3.19 Summary of the Distributions and Relationships Most Commonly Used; 1.4 Life Testing for Component Reliability; 1.4.1 Estimation Methods for Complete Data; 1.4.2 Estimation Methods for Incomplete Data; 1.5 Redundancy in System Reliability 1.5.1 Series System Reliability1.5.2 Active Parallel Redundancy; 1.5.3 Standby Redundancy; 1.5.4 Other Redundancy Limitations: Common-Mode Failures and Load Sharing; 1.6 Review of Software Reliability Growth Models; 1.6.1 Software Reliability Models in the Time Domain; 1.6.2 Classification of Reliability Growth Models; Appendix 1A: 500 Computer-Generated Random Numbers; References; Exercises; 2 Software Reliability Modeling with Clustered Failure Data and Stochastic Measures to Compare Predictive Accuracy of Failure-Count Models 2.1 Software Reliability Models Using the Compound Poisson Model2.1.1 Notation and Introduction; 2.1.2 Background and Motivation; 2.1.3 Maximum Likelihood Estimation in the Poisson^Geometric Model; 2.1.4 Nonlinear Regression Estimation in the Poisson^Geometric Model; 2.1.5 Calculation of Forecast Quality and Comparison of Methods; 2.1.6 Discussion and Conclusions; 2.2 Stochastic Measures to Compare Failure-Count Reliability Models; 2.2.1 Introduction and Motivation; 2.2.2 Definitions and Notation; 2.2.3 Model, Data, and Computational Formulas; 2.2.4 Prior Distribution Approach 2.2.5 Applications to Data Sets and Computations2.2.6 Discussion and Conclusions; References; Exercises; 3 Quantitative Modeling for Security Risk Assessment; 3.1 Decision Tree Model to Quantify Risk; 3.1.1 Motivation; 3.1.2 Risk Scenarios; 3.1.3 Quantitative Security Meter Model; 3.1.4 Model Application and Results; 3.1.5 Modifying the Quantitative Model for Qualitative Data; 3.1.6 Hybrid Security Meter Model for Both Quantitative and Qualitative Data; 3.1.7 Simulation Study and Conclusions; 3.2 Bayesian Applications for Prioritizing Software Maintenance; 3.2.1 Motivation 3.2.2 Bayesian Rule in Statistics and Applications for Software Maintenance |
| Record Nr. | UNINA-9910841414203321 |
|
Sahinoglu Mehmet <1951->
|
||
| Hoboken, N.J., : Wiley-Interscience, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||