Digital asset valuation and cyber risk measurement : principles of cybernomics

Digital asset valuation and cyber risk measurement principles of cybernomics

Detalles Bibliográficos
Otros Autores: Ruan, Keyun, 1986-, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: London, England : Academic Press 2019.
Edición:1st edition
Materias:
Computer security.
Electronic commerce.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630597206719
Tabla de Contenidos:
  • Front Cover
  • Digital Asset Valuation and Cyber Risk Measurement
  • Copyright Page
  • Dedication
  • Contents
  • Preface
  • Introduction
  • Chapter 1: Digital Assets as Economic Goods
  • Chapter 2: Digital Theory of Value
  • Chapter 3: Cyber Risk Management: A New Era of Enterprise Risk Management
  • Chapter 4: Cyber Risk Measurement in the Hyperconnected World
  • Chapter 5: Economic Modeling and the Implementation of Effective Mitigating Controls
  • Chapter 6: The Point of Diminishing Return on Cyber Risk Investment
  • Chapter 7: Kilogram of Cyber Risk: Introducing Bitmort and Hekla
  • Chapter 8: Three Views of Cybernomics: Entity View, Portfolio View, and Global View
  • Chapter 9: Principles of Cybernomics
  • Chapter 10: Case Study: Insuring the Future of Everything
  • 1 Digital Assets as Economic Goods
  • 1.1 Origins and Philosophical Concepts of Value
  • 1.1.1 Subjective View Versus Objective View
  • 1.1.2 Intrinsic Value Versus Extrinsic Value
  • 1.2 What Is an Economic Good?
  • 1.3 What Is an Asset?
  • 1.3.1 Definition of Asset
  • 1.3.2 Current Asset Valuation Methods
  • 1.4 What Are Digital Assets?
  • 1.4.1 Categorization of Digital Assets
  • 1.4.1.1 (Networked) System Assets
  • 1.4.1.2 Software Assets
  • 1.4.1.3 Hardware Assets
  • 1.4.1.4 Service Assets
  • 1.4.1.5 Robotic Assets
  • 1.4.1.6 Data Assets
  • 1.4.1.7 Metadata Assets
  • 1.4.1.8 Digitally Enabled Devices
  • 1.4.2 Managing Digital Assets in an Organization
  • 1.4.2.1 Information Resource Management
  • 1.4.2.2 Digital Assets Management
  • 1.5 Unique Attributes of Digital Assets
  • 1.5.1 Characteristic 1: Digital Value Creation Does Not Decrease but Increases Through Usage
  • 1.5.2 Characteristic 2: Duplication Does Not Increase Digital Value
  • 1.5.3 Characteristic 3: Digital Value Production and Distribution Entails Higher Fixed Costs and Lower Variable Costs.
  • 1.5.4 Characteristic 4: Digital Value Can Be Distributed via Multi-Sided Markets
  • 1.5.5 Characteristic 5: Digital Value Is Limitless
  • 1.5.5.1 Characteristic 5a: Digital Value Has Limitless Utility to the Owner
  • 1.5.5.2 Characteristic 5b: There Are Limitless Opportunities to Distribute and Consume Digital Value
  • 1.6 Digital Value Matrix: Categorization of Digital Assets Based on Their Economic Functions
  • 1.6.1 Digital Asset on an Individual Level
  • 1.6.2 Digital Asset on an Organizational Level
  • 1.6.3 Digital Asset on a National Level
  • 1.6.4 Digital Asset on the Global Level
  • 1.7 Valuation of Digital Assets as Economic Goods
  • 1.7.1 Attributes of Digital Assets Contributing to Intrinsic Digital Value Creation
  • 1.7.1.1 Data Quality
  • 1.7.1.2 Risk Exposure
  • 1.7.1.3 Age
  • 1.7.1.4 Data Volume
  • 1.7.1.5 System Quality
  • 1.7.1.6 Production Cost
  • 1.7.2 Attributes of Digital Assets Contributing to Extrinsic Digital Value Creation
  • 1.7.2.1 Exclusivity
  • 1.7.2.2 Network Connectivity
  • 1.7.2.3 Accessibility
  • 1.7.2.4 Reproduction Cost
  • 1.7.2.5 Economies of Scale
  • 1.7.2.6 Data Format
  • 1.7.2.7 Level of Structure
  • 1.7.2.8 Delivery Cadence
  • 1.7.2.9 Power Supplies
  • 1.8 Existing Challenges for Digital Asset Valuation
  • 1.8.1 Inherent Challenges
  • 1.8.2 Market Challenges
  • 1.8.3 Taxation Challenges
  • 1.8.4 Regulatory and Standardization Challenges
  • 1.9 Current Methods for Digital Asset Valuation
  • 1.9.1 Intrinsic Value
  • 1.9.2 Direct Conversion of Financial Value
  • 1.9.3 Business and Performance Value
  • 1.9.4 Cost-Based Models
  • Example: Total Cost of Ownership (TCO)
  • 1.9.5 Market-Based Models
  • Example: Market for Personal Data
  • 1.9.6 Income-Based Models
  • 1.9.7 Option Models
  • 2 Digital Theory of Value
  • 2.1 The Search for a Value Theory Supporting the Fourth Industrial Revolution.
  • 2.1.1 Digitization of Everything
  • 2.1.2 The Fourth Industrial Revolution
  • 2.1.2.1 Characteristic 1: Velocity
  • 2.1.2.2 Characteristic 2: Cross-Jurisdictional Economies of Scale Without Mass
  • 2.1.2.3 Characteristic 3: Heavy Reliance on Intangible Assets, Especially Intellectual Property
  • 2.1.2.4 Characteristic 4: The Importance of Data, User Participation, and Their Synergies With Intellectual Property
  • 2.1.2.5 Characteristic 5: Fusion of Technologies
  • 2.1.2.6 Characteristic 6: Consumption Externality
  • 2.1.2.7 Characteristic 7: Indirect Network Effects
  • 2.1.2.8 Characteristic 8: Lock-In Effects and Competition
  • 2.2 Models for Digital Asset Valuation
  • 2.2.1 Method 1: Intrinsic Value
  • 2.2.1.1 1a: Intrinsic Cost of Production
  • 2.2.1.2 1b: Direct Financial Conversion
  • 2.2.2 Method 2: Extrinsic Value
  • 2.2.2.1 2a: Market Value
  • 2.2.2.2 2b: Usage Value
  • 2.2.3 Method 3: Subjective Value
  • 2.2.4 Method 4: Opportunity Value
  • 2.3 Measuring the Digital Economy
  • 2.3.1 Measuring Rate of Digitalization of Traditional Industries: The Enabler and Multiplier
  • 2.3.2 Measuring Digital-Native Industries: The "Smarter," More Intelligent Disrupter
  • Example: Platform Revolution
  • 2.3.3 Measuring the Invisible Economy: The Opportunity Value
  • 2.4 Digital Theory of Value
  • 2.4.1 Law of Machine Time
  • 2.4.1.1 Phenomenon 1a: The Underlying Exponential Function
  • 2.4.1.2 Phenomenon 1b: The Future Cannot Be Projected From the Past using Current Statistical Methods
  • 2.4.1.3 Principle 1a: Progress of Digital Economy Should Be Measured Against Machine Time
  • 2.4.1.4 Principle 1b: Sensemaking Is a Universal Challenge and a Value Driver
  • 2.4.1.5 Principle 1c: Risk Management Is an Island of Stability in the Sea of Change
  • 2.4.2 Law of Recombination
  • 2.4.2.1 Phenomenon 2a: Quality Data Is the New Oil.
  • 2.4.2.2 Phenomenon 2b: The Fusion of Technologies Is the Fuel for Innovative Breakthroughs
  • 2.4.2.3 Principle 2: Recombination Is an Engine for Growth
  • 2.4.3 Law of Hyperconnectivity
  • 2.4.3.1 Phenomenon 3a: New Era of Globalized Societies
  • 2.4.3.2 Phenomenon 3b: New Era of Complexity Economics
  • 2.4.3.3 Principle 3a: Hyperconnectivity Is an Engine for Growth
  • 2.4.3.4 Principle 3b: The Gravity of Value Creation will be Increasingly in the Virtual Space where Value Creation is Locat...
  • 2.4.3.5 Principle 3c: Nontechnical Barriers Such As Geopolitical, Regulations, and Legal Frameworks Are Limiting Factors
  • 2.4.4 Law of Subjectivity
  • 2.4.4.1 Phenomenon 4a: The Need to Be Entertained
  • 2.4.4.2 Phenomenon 4b: The Demand for Customization
  • 2.4.4.3 Principle 4: A Greater Component of Value Is Increasingly Subjective, Reflecting Only in an Entity's Willingness-to-Pay
  • 2.4.5 Law of Abundance
  • 2.4.5.1 Phenomenon 5: Once Intrinsic Digital Value is Created, There are Limitless Ways to Multiply it with Extrinsic Digit...
  • 2.4.5.2 Principle 5a: The Digitally Empowered Entity has Limitless Economic Potential
  • 2.4.5.3 Principle 5b: Consumer Reception and Power Supply Are Limiting Factors
  • 2.4.5.4 Principle 5c: The Attention of a Consumer Is the New Scarce Resource
  • 2.4.6 Law of New Division of Labor
  • 2.4.6.1 Phenomenon 6a: Labor Is Increasingly a Less Important Factor in Value Production
  • 2.4.6.2 Phenomenon 6b: New Necessities and the Barrier to Entry in a Digitized Society
  • 2.4.6.3 Phenomenon 6c: Deep Learning and Machine Intelligence Are Still Inherently Limited
  • 2.4.6.4 Phenomenon 6d: Accuracy Is Not the Truth
  • 2.4.6.5 Principle 6a: The Digital Economy Is Creating a New Social Divide Based on the New Labor Value Chain.
  • 2.4.6.6 Principle 6b: The Optimal Path to Intrinsic Value Creation Is a Combination of Human and Machine Intelligence
  • 3 Cyber Risk Management: A New Era of Enterprise Risk Management
  • 3.1 History and Definitions of Risk
  • 3.1.1 History of Risk
  • 3.1.2 Definitions of Risk as a Multidimensional Concept
  • 3.1.3 Risk in Computer Science and Engineering
  • 3.1.4 Risk Can Only Be Relatively Objective
  • 3.1.5 Decision Theory and Acceptable Risk
  • 3.2 Enterprise Risk Management
  • 3.2.1 The Discipline of Enterprise Risk Management
  • 3.2.2 Cyber Risk Management: A New Era of Enterprise Risk Management
  • 3.3 Risk Analysis
  • 3.4 Risk Management
  • 3.4.1 Risk Assessment
  • 3.4.1.1 Define the Risk Assessment Process
  • 3.4.1.2 System Characterization
  • 3.4.1.3 Risk Classification
  • 3.4.1.4 Threat Identification
  • 3.4.1.4.1 STRIDE
  • 3.4.1.4.2 Process for Attack Simulation and Threat Analysis
  • 3.4.1.4.3 Trike
  • 3.4.1.4.4 Visual, Agile, and Simple Threat (VAST) Modelling
  • 3.4.1.5 Vulnerability Assessment
  • 3.4.1.5.1 The Common Vulnerability Scoring System
  • 3.4.1.5.2 The Open Web Application Security Project Top 10
  • 3.4.1.5.3 The Open Web Application Security Project 2017
  • 3.4.1.6 Likelihood Determination
  • 3.4.1.7 Impact Analysis
  • 3.4.1.8 Risk Determination
  • 3.4.2 Risk Mitigation
  • 3.4.3 Effectiveness Assessment
  • 3.4.4 Continuous Monitoring
  • 3.5 Risk Models
  • 3.5.1 Qualitative and Quantitative Models
  • 3.5.2 Quantitative Assessment
  • 3.5.3 Qualitative Assessment
  • 3.5.4 Other Models
  • 3.5.4.1 Perspective: Asset-driven, Service-driven, or Business driven
  • 3.5.4.2 Resource Valuation: Vertical or Horizontal
  • 3.5.4.3 Risk Measurement: Propagated or Nonpropagated
  • 4 Cyber Risk Measurement in the Hyperconnected World
  • 4.1 Cyber Risk as a Critical Business Risk
  • 4.2 The Uniqueness of Cyber Risk.
  • 4.3 The Need for Cyber Risk Measurement and Current Challenges.

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