Computer science security research and human subjects: emerging considerations for research ethics boards

Area of Science:

• Computer Science
• Cybersecurity Ethics
• Human Subjects Research

Background:

• Increasing complexity in computer science research, especially cybersecurity, presents novel ethical considerations.
• Existing human subjects research review frameworks may not adequately address emerging technological issues.
• The integration of concepts like bots, clouds, and worms complicates traditional ethical oversight.

Purpose of the Study:

• To explore the ethical challenges at the intersection of computer security research and human subjects research review.
• To provide a contextual framework for institutional review boards (IRBs) when evaluating computer security studies.
• To anticipate and address the unique review board concerns arising from advanced computational research topics.

Main Methods:

• Literature review of current ethical guidelines and cybersecurity research trends.
• Analysis of case studies representing potential scenarios faced by review boards.
• Discourse analysis of emerging issues in human subjects research relevant to computer science.

Main Results:

• Identification of specific ethical dilemmas in computer security research, such as data privacy and informed consent in large-scale or automated systems.
• Development of a framework to assist review boards in assessing risks and benefits.
• Highlighting the need for updated guidelines to accommodate research involving distributed systems, artificial intelligence, and malware analysis.

Conclusions:

• Computer security research necessitates a nuanced approach from human subjects review committees.
• Clearer guidelines and interdisciplinary collaboration are crucial for ethical oversight.
• Proactive adaptation of review processes will safeguard participants and foster responsible innovation.