Do you understand entropy?

Its measuring technique but not sure how to apply the same in cryptography. Is it all about encryption/decryption time/space complexity ?

To start on research design and sampling techniques in cybersecurity and cryptography, the following steps may be helpful:

1. Define research problem: Identify a topic that is worth studying. It could be a security vulnerability that needs to be addressed or a cryptographic algorithm that needs to be studied.

2. Literature Review: Review existing studies and literature related to the topic. It will help understand the research gaps and research questions.

3. Research questions: Develop research questions that will guide the research study. For example, "What are the common cyber-attacks on financial institutions, and what are the effective cryptography techniques to defend against them?"

4. Research design: Select a research design that allows answering the research questions effectively. It could be experimental, survey-based, observational, etc.

5. Sampling Techniques: Determine the appropriate sampling technique that will help in selecting the participants from the population. In cybersecurity and cryptography, it is essential to choose participants who have knowledge and experience in the field.

6. Data Collection: Collect data that aligns with the research design and research question. For instance, if the research design is a case study, collect data through interviews, observation, and documentation.

7. Data Analysis: Analyze the collected data to answer the research questions. It can be done by applying qualitative or quantitative analysis methods.

8. Draw Conclusions: Based on the analysis, draw conclusions from the research study, and provide recommendations.

You might find the article below relevant:

https://www.wired.com/story/chatgpt-prompt-injection-attack-security/

Cybersecurity research, especially cryptography research, requires the correct sampling method. Sampling method can greatly impact study validity and reliability. These factors and sample methods may be relevant:

1. state study Objectives: - Clearly state your study goals. Are you studying cryptographic method effectiveness, cybersecurity user views, or industry prevalence?

2. Identify the relevant population for your research. This could include cybersecurity professionals, cryptographic algorithm implementations, cryptography-related cybersecurity issues, etc.

3. Sampling Methods: - Random Sampling Random sampling is best for unbiased population representation. Everyone has an equal probability of being chosen. This helps generalise quantitative studies.

Sample stratification: If your population has separate subgroups (strata), such as industries or cryptographic techniques, stratified sampling can ensure representation from each.

Convenience sampling: This requires choosing accessible samples. It's faster but may not represent the population. Useful for qualitative or exploratory research.

- Purposive Sampling: Select participants based on attributes or cybersecurity cryptography knowledge. This is typical in qualitative research that requires specific knowledge or insights.

Snowball sampling is useful when volunteers are scarce. Starting with a few individuals who refer others. It's employed in qualitative research with unknown or hard-to-reach populations.

4. Consider research constraints: - Consider time, funding, and resources. Some sampling methods are resource-intensive.

5. Sampling Size: - Choose the right sample size for your study. The size of quantitative research samples depends on statistical factors, however larger samples are better.

6. Ethical Considerations: - Follow ethical research norms for sampling, especially when using human participants like cybersecurity professionals.

Further Reading:

"Research Methods in Cybersecurity" is a thorough guide on cybersecurity research methods.

"Sampling Techniques" by William G. Cochran examines sampling procedures in detail.

"The Essentials of Computer Organisation and Architecture" by Linda Null and Julia Lobur covers cryptography techniques and can inform cryptographic implementation sampling.

Consider these factors to choose a sample approach that meets your research goals and limits, assuring a solid cryptography and cybersecurity study.