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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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui