Assessment of Data Integrity Risks in Public Blockchain Systems

Table of Contents

1 Introduction

1.1 Research Gap and Research Question

1.2 Motivation

1.3 Value Proposition

1.4 Outline

2 Background

2.1 Centralized, Decentralized & Distributed Systems

2.2 Blockchain Technology

2.3 Data Security

2.4 IT Risk Management

2.5 Previous research

3 Qualitative Research Methodology

3.1 Data Collection Method

3.2 Focus Interview

3.3 Ontology & Epistemology

3.4 Content Analysis

3.5 Data Presentation

3.6 Scientific Quality Criteria

4 Results for Risk Identification

4.1 Interview Participants

4.2 Identified Risks

4.3 Differences in Public and Private Blockchains

5 Discussion / Explanation of identified Risks and Differences

5.1 Identified Risks

5.2 Differences public and private blockchains

6 Quantitative Research Methodology

6.1 Online Survey Design

6.2 Data Analysis & Visualization

6.3 Scientific Quality Criteria

7 Results for Risk Evaluation

7.1 Survey Participants

7.2 Research Results

8 Discussion & Implications of the Results from the Risk Evaluation

8.1 Discussion

8.2 Implications of Results

9 Limitations of the Research

10 Conclusion

11 References

Research Objectives and Key Topics

The primary research objective is to identify and evaluate threats to data integrity within public blockchain systems. By employing a dual-method approach, the study aims to determine the likelihood and potential consequences of these risks, while also comparing integrity-related differences between public and private blockchain architectures to support organizational decision-making.

• Identification of data integrity threats in public blockchains
• Comparative analysis of public versus private blockchain security
• Qualitative expert research using focus interviews
• Quantitative risk assessment via online survey
• Development of risk mitigation strategies

Excerpt from the Book

Summary of Chapters

1 Introduction: Provides the motivation for the study, highlights the current research gap regarding data integrity in blockchain systems, and outlines the core research questions.

2 Background: Delivers foundational knowledge on decentralized systems, blockchain architecture, data security (CIA triad), and IT risk management frameworks.

3 Qualitative Research Methodology: Describes the explorative research design, justifying the use of in-depth focus interviews to identify blockchain-specific integrity risks.

4 Results for Risk Identification: Presents the findings from the qualitative interviews, detailing 11 identified risks to data integrity in public blockchain systems.

5 Discussion / Explanation of identified Risks and Differences: Provides an analytical breakdown of the identified risks and explores the fundamental integrity differences between public and private chains.

6 Quantitative Research Methodology: Explains the design of the online survey used to evaluate the identified risks through numerical likelihood and consequence metrics.

7 Results for Risk Evaluation: Shows the quantitative outcomes of the survey, visualizing the impact and occurrence probability of the risks in a matrix format.

8 Discussion & Implications of the Results from the Risk Evaluation: Interprets the risk scores, discusses practical implications for organizations, and suggests mitigation strategies.

9 Limitations of the Research: Addresses the constraints of the study, including sample size, research method limitations, and potential biases.

10 Conclusion: Summarizes the study’s findings, confirms that blockchain is not inherently insecure, and proposes directions for future research.

Keywords

Blockchain, Data Integrity, Risk Management, Public Blockchain, Private Blockchain, Data Security, IT Governance, Smart Contracts, Consensus Attack, Qualitative Research, Quantitative Analysis, Risk Assessment, 51% Attack, Distributed Ledger, Information Security

Frequently Asked Questions

What is the primary focus of this research?

The work primarily focuses on assessing data integrity risks specifically within public blockchain systems and identifying how these risks compare to those found in private blockchain environments.

What are the central thematic fields covered?

The key themes include blockchain technology design, data security fundamentals (the CIA triad), IT risk management standards, and the comparison of public versus private blockchain architectures.

What is the primary research goal?

The main goal is to identify threats to data integrity in public blockchains and to evaluate these risks through a combination of qualitative expert interviews and quantitative surveys to provide actionable insights for organizations.

Which scientific methods are applied in this work?

The author uses a mixed-methods approach: a qualitative phase involving semi-structured focus interviews with experts for risk identification, followed by a quantitative phase using an online survey for risk evaluation and prioritization.

What does the main body of the paper address?

The main body systematically explores blockchain fundamentals, establishes a research methodology, identifies 11 specific data integrity risks, and evaluates these risks regarding their likelihood of occurrence and their consequences on data.

Which keywords best characterize this research?

Essential keywords include Blockchain, Data Integrity, Risk Management, Public/Private Blockchain, Information Security, Consensus Attack, and Smart Contract vulnerabilities.

How does the author distinguish between public and private blockchain risks?

The author analyzes differences such as consensus models, code quality, susceptibility to 51% attacks, and the level of data privacy, noting that public chains provide more decentralization while private chains offer more controlled, permissioned environments.

What are the most significant risks identified for public blockchains?

The study highlights risks such as 51% consensus attacks, poor quality of smart contract code, the existence of alternative chains (forks), and the potential for trust issues regarding protocol developers and third-party service providers.

Does the research conclude that public blockchains are insecure?

No. While the study identifies significant risks, the author emphasizes that there is currently no evidence that blockchain technology should be considered insecure, but rather that these risks must be carefully managed before implementation.