Blockchain

Change address identification is one of the difficulties in bitcoin address clustering as an emerging social computing problem. Most of the current related research only applies to certain specific types of transactions and faces the problems of low recognition rate and high false positive rate. We innovatively propose a clustering method based on multi-conditional recognition of one-time change addresses and conduct experiments with on-chain bitcoin transaction data. The results show that the proposed method identifies at least 12.3\% more one-time change addresses than other heuristics.

The primary article search was carried out by using selected keywords. These keywords were jointly selected by the authors, with criteria that were based on the frequently used authors' keywords found in most of the related articles. For example, the list of keywords such as “blockchain” combined with “education”, or “lifelong learning” or “life-long learning” or “digital certificate” or “academic record” or “e-learning” was used to conduct the search. 

What is a Blockchain?

Merriam-Webster dictionary defines blockchain as,

A digital database containing information (such as records of financial transactions) that can be simultaneously used and shared within a large decentralized, publicly accessible network.

6 Types of Attacks on Blockchain

1. 51% Attacks (Sybil Attacks)

2. Double Spending Attacks

3. Routing Attacks

4. Private Key Security Attacks

5. Selfish Mining Attacks

6. Vulnerable Smart Contacts

Today, more and more Internet of Things devices are deployed, and the field of applications for decentralized, self-organizing networks keeps growing. The growth also makes these systems more attractive to attackers. Sybil attacks are a common issue, especially in decentralized networks and networks deployed in scenarios with irregular or unreliable Internet connectivity.