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Ethereum Security Data Collection Ideas - DSPYT
- Pavel Fedotov
Data collection is the systematic process of obtaining observations or measurements. Data gathering enables you to get first-hand knowledge and unique insights into your research challenge, whether you are conducting experiments for business, governmental, or academic objectives. Although methods and objectives may vary across fields, the general data collection procedure is basically the same.
In this article, we describe how to select a research topic, study technique, and provide resources for high-quality data gathering on topics that include security, compliance, and authenticity, in particular, on Ethereum blockchain.
How to determine a research question
Creating a strong research question is crucial when beginning a new research project. This is an important step in the research process because it directs your research activity.
A well-written research question possesses several characteristics.
- It has a precise definition and be free of jargon.
- The query is specific enough to lead your investigation in the right direction. It provides a summary of an important question or subject you wish to address through research, whether it be a literature review, an experiment, or a theoretical exercise.
- It addresses within your constrained time frame and with other resources that are available (e.g., money, equipment, other resources).
The most challenging and perplexing choice is the optimal research approach. Choosing a research technique is essential since it determines the kind of methods you use. If you use the right research approach, you may gather the necessary data and achieve the objectives of the study.
In general, there are three types of research:
- Exploratory research: it helps to clarify a problem and may lead to the development of a hypothesis. As a result, it frequently uses qualitative research methodology.
- Confirmatory research involves conducting empirical tests to verify a possible theory or hypothesis. Consequently, it frequently employs quantitative research.
- The mixed methods technique that develops a prospective theory or hypothesis and then test the theory empirically.
Hence, gather quantitative data if your goal is to test a hypothesis, measure something precisely, or gain broad statistical insights. Collect qualitative data if your goal is to investigate concepts, comprehend experiences, or gain in-depth understanding of a particular situation. Use a mixed methods approach that gathers both kinds of data if you have multiple goals.
Data Collection Methods
Choose the approach that is most appropriate for your research based on the information you want to gather.
- A quantitative approach is used primarily in experimental research.
- Qualitative methods include ethnographies, focus groups, and interviews.
- Both quantitative and qualitative methods can be used when collecting secondary data from surveys, observations, archival research, and more.
To begin with, archival research involves accessing records from libraries or data online to comprehend current or historical events, conditions, or practices.
To better understand people's impressions or thoughts on a topic we recommend to employ focus groups.
Besides, a survey involves distributing a list of questions to a sample of people online, in person, or over the phone in order to understand the general characteristics or opinions of a group of people.
Finally, seek out pre-existing datasets that have been compiled from sources like governmental organizations or research institutes in order to evaluate data you cannot directly access.
Ethereum Blockchain Security Data sources
First we advise to assemble the archival research on Ethereum blockchain security, compliance, and authenticity might encompass investigation into historical events and their significance.
Ethereum blockchain use cases are not limited to speculation and trading. Meanwhile decentralized exchanges face regulatory scrutiny that involves taxation, audit, and fraud detection.
For example, the Ethereum based smart contracts can be examined for compliance in relation to OFAC Sanctions.
Some notable articles on AML compliance and latest trends include:
- Building AML Compliance for NFT Marketplaces
- KYC and AML 2022—the Difference and Best Practices
- Crypto Addresses Holding NFTs Worth $532k are Among the Latest Sanctioned by OFAC
- Crypto-Mixing Service Tornado Cash Blacklisted by US Treasury
- OFAC Sanctions Popular Ethereum Mixer Tornado Cash for Laundering Crypto Stolen by North Korea’s Lazarus Group
- Anonymous user is sending ETH from Tornado Cash sanctioned addresses
- Tornado Cash Adds Chainalysis Tool for Blocking OFAC-Sanctioned Wallets From Dapp
- Harmony Horizon Exploit Linked to North Korea, $10M Bounty Offered
Available Online Ethereum Data Sources
Below are relevant online data sources which could aid in the research of Ethereum blockchain security, compliance and regulation.
- Cyber-related Designation; North Korea Designation Update 05/06/2022
- North Korea Designation Update; Counter Narcotics Designations Removals 04/22/2022
- Detection of illicit accounts over the Ethereum blockchain Study 2021
- Statista: theft of cryptocurrency value
- Premium Statista Dataset: crypto theft size
- Ocean Market: An Open-Source Community Marketplace for Data
- Dune Analytics
- Google DataSet Search
- Kaggle which include exploratory opensource analysis
- Insights on Kaggle Fraud Dataset
- opensea-api-nft-sales python script
- Dune analytics python unofficial library
- DirtyHash: Analyze suspicious wallet addresses, domains, NFTs with machine learning to detect frauds and scams, share them with the community
- Real-Time Crypto and NFT Insights
- Instant Web3 Data
- Twitter USDC blacklist bot
Data gathering enables you to get first-hand knowledge and unique insights into your research challenge. There are three types of research: exploratory, confirmatory and quantitative. Choosing the right research approach will determine the kind of methods you use for gathering the necessary data. If your aim is to test a hypothesis, measure something precisely, or gain large-scale statistical insights, collect quantitative data. If you have several aims, you can use a mixed-methods approach that collects both types of data.
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