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The failure of risk management : why it's broken and how to fix it / / Douglas W. Hubbard
| The failure of risk management : why it's broken and how to fix it / / Douglas W. Hubbard |
| Autore | Hubbard Douglas W. <1962-> |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2020] |
| Descrizione fisica | 1 online resource (xvii, 366 pages) : illustrations |
| Disciplina | 658.155 |
| Soggetto topico | Risk management |
| ISBN |
1-119-52191-2
1-119-52202-1 1-119-52204-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910555281103321 |
Hubbard Douglas W. <1962->
|
||
| Hoboken, New Jersey : , : Wiley, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
How to measure anything : finding the value of "intangibles" in business / / Douglas W. Hubbard
| How to measure anything : finding the value of "intangibles" in business / / Douglas W. Hubbard |
| Autore | Hubbard Douglas W. <1962-> |
| Edizione | [Third edition.] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (434 p.) |
| Disciplina | 657/.7 |
| Soggetto topico | Intangible property - Valuation |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-118-83644-8
1-118-83649-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
How to Measure Anything; Contents; Preface to the Third Edition; About the Companion Website; Acknowledgments; About the Author; Part I The Measurement Solution Exists; Chapter 1 The Challenge of Intangibles; The Alleged Intangibles; Yes, I Mean Anything; The Proposal: It's about Decisions; A "Power Tools" Approach to Measurement; A Guide to the Rest of the Book; Chapter 2 An Intuitive Measurement Habit: Eratosthenes, Enrico, and Emily; How an Ancient Greek Measured the Size of Earth; Estimating: Be Like Fermi; Experiments: Not Just for AduLts
Notes on What to Learn from Eratosthenes, Enrico, and EmilyNotes; Chapter 3 The Illusion of Intangibles: Why Immeasurables Aren't; The Concept of Measurement; A Definition of Measurement: An "Information Theory" Version; A Variety of Measurement Scales; Bayesian Measurement: A Pragmatic Concept for Decisions; The Object of Measurement; The Methods of Measurement; The Power of Small Samples: The Rule of Five; Even Smaller Samples: The Urn of Mystery; Our Small-Sample Intuition versus Math; Economic Objections to Measurement; The Broader Objection to the Usefulness of "Statistics" Ethical Objections to MeasurementReversing Old Assumptions; It's Been Measured Before; You Have Far More Data than You Think; You Need Far Less Data than You Think; Useful, New Observations Are More Accessible than You Think; Notes; Part II Before You Measure; Chapter 4 Clarifying the Measurement Problem; Toward a Universal Approach to Measurement; The Unexpected Challenge of Defining a Decision; Decision-Oriented Measurements: For Scientists, Too; How to Get to a Real Decision; Requirements for a Decision; Potential Forms of a Decision; If You Understand it, You Can Model it Getting the Language Right: What "Uncertainty" and "Risk" Really MeanAn Example of a Clarified Decision; Notes; Chapter 5 Calibrated Estimates: How Much Do You Know Now?; Calibration Exercise; Calibration Trick: Bet Money (or Even Just Pretend To); Further Improvements on Calibration; Conceptual Obstacles to Calibration; The Effects of Calibration Training; Notes; Chapter 6 Quantifying Risk through Modeling; How Not to Quantify Risk; Real Risk Analysis: The Monte Carlo; An Example of the Monte Carlo Method and Risk; Tools and Other Resources for Monte Carlo Simulations The Risk Paradox and the Need for Better Risk AnalysisNotes; Chapter 7 Quantifying the Value of Information; The Chance of Being Wrong and the Cost of Being Wrong: Expected Opportunity Loss; The Value of Information for Ranges; Beyond yes/no: Decisions on a Continuum; The Imperfect World: The Value of Partial Uncertainty Reduction; Perishable Information Values; Information Values for Multiple Variables; The Epiphany Equation: How the Value of Information Changes Everything; Summarizing Uncertainty, RisK, and Information Value: The pre-measurements; Notes; Part III Measurement Methods Chapter 8 The Transition: From What to Measure to How to Measure |
| Record Nr. | UNINA-9910463689503321 |
|
Hubbard Douglas W. <1962->
|
||
| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
How to measure anything : finding the value of "intangibles" in business / / Douglas W. Hubbard
| How to measure anything : finding the value of "intangibles" in business / / Douglas W. Hubbard |
| Autore | Hubbard Douglas W. <1962-> |
| Edizione | [Third edition.] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (434 p.) |
| Disciplina | 657/.7 |
| Soggetto topico | Intangible property - Valuation |
| ISBN |
1-118-83644-8
1-118-83649-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
How to Measure Anything; Contents; Preface to the Third Edition; About the Companion Website; Acknowledgments; About the Author; Part I The Measurement Solution Exists; Chapter 1 The Challenge of Intangibles; The Alleged Intangibles; Yes, I Mean Anything; The Proposal: It's about Decisions; A "Power Tools" Approach to Measurement; A Guide to the Rest of the Book; Chapter 2 An Intuitive Measurement Habit: Eratosthenes, Enrico, and Emily; How an Ancient Greek Measured the Size of Earth; Estimating: Be Like Fermi; Experiments: Not Just for AduLts
Notes on What to Learn from Eratosthenes, Enrico, and EmilyNotes; Chapter 3 The Illusion of Intangibles: Why Immeasurables Aren't; The Concept of Measurement; A Definition of Measurement: An "Information Theory" Version; A Variety of Measurement Scales; Bayesian Measurement: A Pragmatic Concept for Decisions; The Object of Measurement; The Methods of Measurement; The Power of Small Samples: The Rule of Five; Even Smaller Samples: The Urn of Mystery; Our Small-Sample Intuition versus Math; Economic Objections to Measurement; The Broader Objection to the Usefulness of "Statistics" Ethical Objections to MeasurementReversing Old Assumptions; It's Been Measured Before; You Have Far More Data than You Think; You Need Far Less Data than You Think; Useful, New Observations Are More Accessible than You Think; Notes; Part II Before You Measure; Chapter 4 Clarifying the Measurement Problem; Toward a Universal Approach to Measurement; The Unexpected Challenge of Defining a Decision; Decision-Oriented Measurements: For Scientists, Too; How to Get to a Real Decision; Requirements for a Decision; Potential Forms of a Decision; If You Understand it, You Can Model it Getting the Language Right: What "Uncertainty" and "Risk" Really MeanAn Example of a Clarified Decision; Notes; Chapter 5 Calibrated Estimates: How Much Do You Know Now?; Calibration Exercise; Calibration Trick: Bet Money (or Even Just Pretend To); Further Improvements on Calibration; Conceptual Obstacles to Calibration; The Effects of Calibration Training; Notes; Chapter 6 Quantifying Risk through Modeling; How Not to Quantify Risk; Real Risk Analysis: The Monte Carlo; An Example of the Monte Carlo Method and Risk; Tools and Other Resources for Monte Carlo Simulations The Risk Paradox and the Need for Better Risk AnalysisNotes; Chapter 7 Quantifying the Value of Information; The Chance of Being Wrong and the Cost of Being Wrong: Expected Opportunity Loss; The Value of Information for Ranges; Beyond yes/no: Decisions on a Continuum; The Imperfect World: The Value of Partial Uncertainty Reduction; Perishable Information Values; Information Values for Multiple Variables; The Epiphany Equation: How the Value of Information Changes Everything; Summarizing Uncertainty, RisK, and Information Value: The pre-measurements; Notes; Part III Measurement Methods Chapter 8 The Transition: From What to Measure to How to Measure |
| Record Nr. | UNINA-9910787868203321 |
|
Hubbard Douglas W. <1962->
|
||
| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
How to measure anything : finding the value of "intangibles" in business / / Douglas W. Hubbard
| How to measure anything : finding the value of "intangibles" in business / / Douglas W. Hubbard |
| Autore | Hubbard Douglas W. <1962-> |
| Edizione | [Third edition.] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (434 p.) |
| Disciplina | 657/.7 |
| Soggetto topico | Intangible property - Valuation |
| ISBN |
1-118-83644-8
1-118-83649-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
How to Measure Anything; Contents; Preface to the Third Edition; About the Companion Website; Acknowledgments; About the Author; Part I The Measurement Solution Exists; Chapter 1 The Challenge of Intangibles; The Alleged Intangibles; Yes, I Mean Anything; The Proposal: It's about Decisions; A "Power Tools" Approach to Measurement; A Guide to the Rest of the Book; Chapter 2 An Intuitive Measurement Habit: Eratosthenes, Enrico, and Emily; How an Ancient Greek Measured the Size of Earth; Estimating: Be Like Fermi; Experiments: Not Just for AduLts
Notes on What to Learn from Eratosthenes, Enrico, and EmilyNotes; Chapter 3 The Illusion of Intangibles: Why Immeasurables Aren't; The Concept of Measurement; A Definition of Measurement: An "Information Theory" Version; A Variety of Measurement Scales; Bayesian Measurement: A Pragmatic Concept for Decisions; The Object of Measurement; The Methods of Measurement; The Power of Small Samples: The Rule of Five; Even Smaller Samples: The Urn of Mystery; Our Small-Sample Intuition versus Math; Economic Objections to Measurement; The Broader Objection to the Usefulness of "Statistics" Ethical Objections to MeasurementReversing Old Assumptions; It's Been Measured Before; You Have Far More Data than You Think; You Need Far Less Data than You Think; Useful, New Observations Are More Accessible than You Think; Notes; Part II Before You Measure; Chapter 4 Clarifying the Measurement Problem; Toward a Universal Approach to Measurement; The Unexpected Challenge of Defining a Decision; Decision-Oriented Measurements: For Scientists, Too; How to Get to a Real Decision; Requirements for a Decision; Potential Forms of a Decision; If You Understand it, You Can Model it Getting the Language Right: What "Uncertainty" and "Risk" Really MeanAn Example of a Clarified Decision; Notes; Chapter 5 Calibrated Estimates: How Much Do You Know Now?; Calibration Exercise; Calibration Trick: Bet Money (or Even Just Pretend To); Further Improvements on Calibration; Conceptual Obstacles to Calibration; The Effects of Calibration Training; Notes; Chapter 6 Quantifying Risk through Modeling; How Not to Quantify Risk; Real Risk Analysis: The Monte Carlo; An Example of the Monte Carlo Method and Risk; Tools and Other Resources for Monte Carlo Simulations The Risk Paradox and the Need for Better Risk AnalysisNotes; Chapter 7 Quantifying the Value of Information; The Chance of Being Wrong and the Cost of Being Wrong: Expected Opportunity Loss; The Value of Information for Ranges; Beyond yes/no: Decisions on a Continuum; The Imperfect World: The Value of Partial Uncertainty Reduction; Perishable Information Values; Information Values for Multiple Variables; The Epiphany Equation: How the Value of Information Changes Everything; Summarizing Uncertainty, RisK, and Information Value: The pre-measurements; Notes; Part III Measurement Methods Chapter 8 The Transition: From What to Measure to How to Measure |
| Record Nr. | UNINA-9910808034803321 |
|
Hubbard Douglas W. <1962->
|
||
| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
How to measure anything [[electronic resource] ] : finding the value of "intangibles" in business / / Douglas W. Hubbard
| How to measure anything [[electronic resource] ] : finding the value of "intangibles" in business / / Douglas W. Hubbard |
| Autore | Hubbard Douglas W. <1962-> |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, c2010 |
| Descrizione fisica | 1 online resource (323 p.) |
| Disciplina |
657/.7
658 |
| Soggetto topico |
Intangible property - Valuation
Corporations - Valuation |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-4526-0420-7
1-118-98383-1 1-62198-430-3 1-282-54946-4 9786612549465 0-470-62567-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | How to Measure Anything, Second Edition: Finding the Value of Intangibles in Business; Contents; Preface; Acknowledgments; Section I: Measurement: The Solution Exists; Section II: Before You Measure; Section III: Measurement Methods; Section IV: Beyond the Basics; Appendix: Calibration Tests (and Their Answers); Index |
| Record Nr. | UNINA-9910140601403321 |
|
Hubbard Douglas W. <1962->
|
||
| Hoboken, N.J., : Wiley, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
How to measure anything [[electronic resource] ] : finding the value of "intangibles" in business / / Douglas W. Hubbard
| How to measure anything [[electronic resource] ] : finding the value of "intangibles" in business / / Douglas W. Hubbard |
| Autore | Hubbard Douglas W. <1962-> |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, c2010 |
| Descrizione fisica | 1 online resource (323 p.) |
| Disciplina |
657/.7
658 |
| Soggetto topico |
Intangible property - Valuation
Corporations - Valuation |
| ISBN |
1-4526-0420-7
1-118-98383-1 1-62198-430-3 1-282-54946-4 9786612549465 0-470-62567-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | How to Measure Anything, Second Edition: Finding the Value of Intangibles in Business; Contents; Preface; Acknowledgments; Section I: Measurement: The Solution Exists; Section II: Before You Measure; Section III: Measurement Methods; Section IV: Beyond the Basics; Appendix: Calibration Tests (and Their Answers); Index |
| Record Nr. | UNINA-9910830440903321 |
|
Hubbard Douglas W. <1962->
|
||
| Hoboken, N.J., : Wiley, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
How to measure anything [[electronic resource] ] : finding the value of "intangibles" in business / / Douglas W. Hubbard
| How to measure anything [[electronic resource] ] : finding the value of "intangibles" in business / / Douglas W. Hubbard |
| Autore | Hubbard Douglas W. <1962-> |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, c2010 |
| Descrizione fisica | 1 online resource (323 p.) |
| Disciplina |
657/.7
658 |
| Soggetto topico |
Intangible property - Valuation
Corporations - Valuation |
| ISBN |
1-4526-0420-7
1-118-98383-1 1-62198-430-3 1-282-54946-4 9786612549465 0-470-62567-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | How to Measure Anything, Second Edition: Finding the Value of Intangibles in Business; Contents; Preface; Acknowledgments; Section I: Measurement: The Solution Exists; Section II: Before You Measure; Section III: Measurement Methods; Section IV: Beyond the Basics; Appendix: Calibration Tests (and Their Answers); Index |
| Record Nr. | UNINA-9910840732303321 |
|
Hubbard Douglas W. <1962->
|
||
| Hoboken, N.J., : Wiley, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
How to Measure Anything in Cybersecurity Risk / / Douglas W. Hubbard and Richard Seiersen
| How to Measure Anything in Cybersecurity Risk / / Douglas W. Hubbard and Richard Seiersen |
| Autore | Hubbard Douglas W. <1962-> |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | Wiley-Blackwell |
| Descrizione fisica | 1 online resource (366 pages) |
| Disciplina | 658.478 |
| Soggetto topico |
Cyberspace - Security measures
Cyberterrorism Risk management |
| ISBN |
1-119-89232-5
1-119-89231-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- Foreword for the Second Edition -- Acknowledgments -- Preface -- How to Measure Anything in Cybersecurity Risk -- Introduction -- Why We Chose This Topic -- What Is This Book About? -- We Need More Than Technology -- Part I Why Cybersecurity Needs Better Measurements for Risk -- Chapter 1 The One Patch Most Needed in Cybersecurity -- Insurance: A Canary in the Coal Mine -- The Global Attack Surface -- The Cyber Threat Response -- A Proposal for Cybersecurity Risk Management -- Notes -- Chapter 2 A Measurement Primer for Cybersecurity -- The Concept of Measurement -- A Taxonomy of Measurement Scales -- The Object of Measurement -- The Methods of Measurement -- Notes -- Chapter 3 The Rapid Risk Audit: Starting With a Simple Quantitative Risk Model -- The Setup and Terminology -- The Rapid Audit Steps -- Some Initial Sources of Data -- The Expert as the Instrument -- Supporting the Decision: Return on Controls -- Doing "Uncertainty Math" -- Visualizing Risk With a Loss Exceedance Curve -- Where to Go from Here -- Notes -- Chapter 4 The Single Most Important Measurement in Cybersecurity -- The Analysis Placebo: Why We Can't Trust Opinion Alone -- How You Have More Data than You Think -- When Algorithms Beat Experts -- Tools for Improving the Human Component -- Summary and Next Steps -- Notes -- Chapter 5 Risk Matrices, Lie Factors, Misconceptions, and Other Obstacles to Measuring Risk -- Scanning the Landscape: A Survey of Cybersecurity Professionals -- What Color Is Your Risk? The Ubiquitous-and Risky-Risk Matrix -- Exsupero Ursus and Other Fallacies -- Communication and Consensus Objections -- Conclusion -- Notes -- Part II Evolving the Model of Cybersecurity Risk -- Chapter 6 Decompose It: Unpacking the Details -- Decomposing the Simple One-for-One Substitution Model.
More Decomposition Guidelines: Clear, Observable, Useful -- A Hard Decomposition: Reputation Damage -- Conclusion -- Notes -- Chapter 7 Calibrated Estimates: How Much Do You Know Now? -- Introduction to Subjective Probability -- Calibration Exercise -- More Hints for Controlling Overconfidence -- Conceptual Obstacles to Calibration -- The Effects of Calibration -- Beyond Initial Calibration Training: More Methods for Improving Subjective Judgment -- Notes -- Answers to Trivia Questions for Calibration Exercise -- Chapter 8 Reducing Uncertainty with Bayesian Methods -- A Brief Introduction to Bayes and Probability Theory -- An Example from Little Data: Does Multifactor Authentication Work? -- Other Ways Bayes Applies -- Notes -- Chapter 9 Some Powerful Methods Based on Bayes -- Computing Frequencies with (Very) Few Data Points: The Beta Distribution -- Decomposing Probabilities with Many Conditions -- Reducing Uncertainty Further and When to Do It -- More Advanced Modeling Considerations -- Wrapping Up Bayes -- Notes -- Part III Cybersecurity Risk Management for the Enterprise -- Chapter 10 Toward Security Metrics Maturity -- Introduction: Operational Security Metrics Maturity Model -- Sparse Data Analytics -- Functional Security Metrics -- Functional Security Metrics Applied: BOOM! -- Wait-Time Baselines -- Security Data Marts -- Prescriptive Analytics -- Notes -- Chapter 11 How Well Are My Security Investments Working Together? -- Security Metrics with the Modern Data Stack -- Modeling for Security Business Intelligence -- Addressing BI Concerns -- Just the Facts: What Is Dimensional Modeling, and Why Do I Need It? -- Dimensional Modeling Use Case: Advanced Data Stealing Threats -- Modeling People Processes -- Conclusion -- Notes -- Chapter 12 A Call to Action: How to Roll Out Cybersecurity Risk Management -- Establishing the CSRM Strategic Charter. Organizational Roles and Responsibilities for CSRM -- Getting Audit to Audit -- What the Cybersecurity Ecosystem Must Do to Support You -- Integrating CSRM with the Rest of the Enterprise -- Can We Avoid the Big One? -- Appendix A Selected Distributions -- Distribution Name: Triangular -- Distribution Name: Binary -- Distribution Name: Normal -- Distribution Name: Lognormal -- Distribution Name: Beta -- Distribution Name: Power Law -- Appendix B Guest Contributors -- Decision Analysis to Support Ransomware Cybersecurity Risk Management -- Bayesian Networks: One Solution for Specific Challenges in Building ML Systems in Cybersecurity -- The Flaw of Averages in Cyber Security -- Botnets -- Password Hacking -- How Catastrophe Modeling Can Be Applied to Cyber Risk -- Notes -- Index -- EULA. |
| Record Nr. | UNINA-9910713827803321 |
|
Hubbard Douglas W. <1962->
|
||
| Wiley-Blackwell | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
How to measure anything in cybersecurity risk / / Douglas W. Hubbard, Richard Seiersen
| How to measure anything in cybersecurity risk / / Douglas W. Hubbard, Richard Seiersen |
| Autore | Hubbard Douglas W. <1962-> |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2016 |
| Descrizione fisica | 1 online resource (299 p.) |
| Disciplina | 658.4/78 |
| Collana | THEi Wiley ebooks |
| Soggetto topico |
Cyberterrorism
Cyberspace - Security measures Risk management |
| ISBN |
1-119-22461-6
1-119-22460-8 1-119-16231-9 |
| Classificazione | BUS061000COM053000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
How to Measure Anything in Cybersecurity Risk; Contents; Foreword; Foreword; Acknowledgments; About the Authors; Introduction; Why This Book, Why Now?; What Is This Book About?; What to Expect; Is This Book for Me?; We Need More Than Technology; New Tools for Decision Makers; Our Path Forward; Part I Why Cybersecurity Needs Better Measurements for Risk; Chapter 1 The One Patch Most Needed in Cybersecurity; The Global Attack Surface; The Cyber Threat Response; A Proposal for Cybersecurity Risk Management; Notes; Chapter 2 A Measurement Primer for Cybersecurity; The Concept of Measurement
Explaining the Elements of the Loss Exceedance CurveGenerating the Inherent and Residual Loss Exceedance Curves; Where Does the Risk Tolerance Curve Come from?; Supporting the Decision: A Return on Mitigation; Where to Go from Here; Notes; Chapter 4 The Single Most Important Measurement in Cybersecurity; The Analysis Placebo: Why We Can't Trust Opinion Alone; How You Have More Data Than You Think; When Algorithms Beat Experts; Some Research Comparing Experts and Algorithms; Why Does This Happen?; So What? Does This Apply to Cybersecurity?; Tools for Improving the Human Component The Subjective Probability ComponentThe Expert Consistency Component; The Collaboration Component; The Decomposition Component; Summary and Next Steps; Notes; Chapter 5 Risk Matrices, Lie Factors, Misconceptions, and Other Obstacles to Measuring Risk; Scanning the Landscape: A Survey of Cybersecurity Professionals; What Color Is Your Risk? The Ubiquitous-and Risky-Risk Matrix; The Psychology of Scales and the Illusion of Communication; How the Risk Matrix Doesn't Add Up; Amplifying Effects: More Studies Against the Risk Matrix (As If We Needed More); Exsupero Ursus and Other Fallacies Beliefs about the Feasibility of Quantitative Methods: A Hard TruthSame Fallacy: More Forms; The Target Breach as a Counter to Exsupero Ursus; Communication and Consensus Objections; Conclusion; Notes; Part II Evolving the Model of Cybersecurity Risk; Chapter 6 Decompose It Unpacking the Details; Decomposing the Simple One-for-One Substitution Model; Just a Little More Decomposition; A Few Decomposition Strategies to Consider; More Decomposition Guidelines: Clear, Observable, Useful; Decision Analysis: An Overview of How to Think about a Problem; Avoiding "Over-Decomposition" A Summary of Some Decomposition Rules |
| Record Nr. | UNINA-9910135014503321 |
|
Hubbard Douglas W. <1962->
|
||
| Hoboken, New Jersey : , : Wiley, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
How to measure anything in cybersecurity risk / / Douglas W. Hubbard, Richard Seiersen
| How to measure anything in cybersecurity risk / / Douglas W. Hubbard, Richard Seiersen |
| Autore | Hubbard Douglas W. <1962-> |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2016 |
| Descrizione fisica | 1 online resource (299 p.) |
| Disciplina | 658.4/78 |
| Collana | THEi Wiley ebooks |
| Soggetto topico |
Cyberterrorism
Cyberspace - Security measures Risk management |
| ISBN |
1-119-22461-6
1-119-22460-8 1-119-16231-9 |
| Classificazione | BUS061000COM053000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
How to Measure Anything in Cybersecurity Risk; Contents; Foreword; Foreword; Acknowledgments; About the Authors; Introduction; Why This Book, Why Now?; What Is This Book About?; What to Expect; Is This Book for Me?; We Need More Than Technology; New Tools for Decision Makers; Our Path Forward; Part I Why Cybersecurity Needs Better Measurements for Risk; Chapter 1 The One Patch Most Needed in Cybersecurity; The Global Attack Surface; The Cyber Threat Response; A Proposal for Cybersecurity Risk Management; Notes; Chapter 2 A Measurement Primer for Cybersecurity; The Concept of Measurement
Explaining the Elements of the Loss Exceedance CurveGenerating the Inherent and Residual Loss Exceedance Curves; Where Does the Risk Tolerance Curve Come from?; Supporting the Decision: A Return on Mitigation; Where to Go from Here; Notes; Chapter 4 The Single Most Important Measurement in Cybersecurity; The Analysis Placebo: Why We Can't Trust Opinion Alone; How You Have More Data Than You Think; When Algorithms Beat Experts; Some Research Comparing Experts and Algorithms; Why Does This Happen?; So What? Does This Apply to Cybersecurity?; Tools for Improving the Human Component The Subjective Probability ComponentThe Expert Consistency Component; The Collaboration Component; The Decomposition Component; Summary and Next Steps; Notes; Chapter 5 Risk Matrices, Lie Factors, Misconceptions, and Other Obstacles to Measuring Risk; Scanning the Landscape: A Survey of Cybersecurity Professionals; What Color Is Your Risk? The Ubiquitous-and Risky-Risk Matrix; The Psychology of Scales and the Illusion of Communication; How the Risk Matrix Doesn't Add Up; Amplifying Effects: More Studies Against the Risk Matrix (As If We Needed More); Exsupero Ursus and Other Fallacies Beliefs about the Feasibility of Quantitative Methods: A Hard TruthSame Fallacy: More Forms; The Target Breach as a Counter to Exsupero Ursus; Communication and Consensus Objections; Conclusion; Notes; Part II Evolving the Model of Cybersecurity Risk; Chapter 6 Decompose It Unpacking the Details; Decomposing the Simple One-for-One Substitution Model; Just a Little More Decomposition; A Few Decomposition Strategies to Consider; More Decomposition Guidelines: Clear, Observable, Useful; Decision Analysis: An Overview of How to Think about a Problem; Avoiding "Over-Decomposition" A Summary of Some Decomposition Rules |
| Record Nr. | UNINA-9910826265403321 |
|
Hubbard Douglas W. <1962->
|
||
| Hoboken, New Jersey : , : Wiley, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||