Assessment of Data Integrity Risks in Public Blockchain Systems

Inhaltsverzeichnis (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

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This paper aims to identify and assess the risks to data integrity on public blockchains. It investigates the differences between public and private blockchains regarding data integrity through a qualitative research approach, utilizing focus interviews and a quantitative online survey. The findings are used to evaluate the likelihood of occurrence and possible consequences of identified risks on data integrity.

• Data integrity risks in public blockchains
• Comparison of data integrity in public and private blockchains
• Evaluation of risk likelihood and consequences
• Mitigating identified risks
• Decision support for selecting between public and private blockchains

Zusammenfassung der Kapitel (Chapter Summaries)

• Chapter 1: This chapter introduces the research gap and research question, outlining the motivation behind the study and its value proposition. It also provides a brief outline of the subsequent chapters.
• Chapter 2: This chapter delves into the background of the research, exploring concepts like centralized, decentralized, and distributed systems, blockchain technology, data security, IT risk management, and previous research on the topic.
• Chapter 3: This chapter focuses on the qualitative research methodology employed in the study. It details the data collection method, focus interview approach, ontological and epistemological considerations, content analysis techniques, data presentation methods, and scientific quality criteria.

Schlüsselwörter (Keywords)

This research focuses on the security of public blockchain systems, specifically the risks to data integrity. The key terms and concepts include: public blockchains, private blockchains, data integrity, risk identification, risk assessment, qualitative research, focus interviews, online survey, risk mitigation strategies.