Question 52: Has SCDO addressed the security risks posed by computing power monopolies?
Answer: Yes, this is one of the key points of SCDO's security design. Computing power monopoly refers to a very small number of miners controlling most of the computing power, which could lead to network attacks or manipulation. SCDO has significantly reduced the likelihood of computing power monopolies through the ZPoW algorithm, which weakens the advantages of mining machines and balances multiple algorithms.
This is specifically reflected in:
1) Hardware Equality: Because of the special algorithm, ordinary graphics cards and even CPUs can participate in mining, and professional mining farms no longer have an overwhelming advantage as they do in Bitcoin. This naturally leads to a more distributed computing power among many small and medium-sized miners.
2) Multi-Algorithm Offset: Even if a certain miner has extremely strong computing power in a certain algorithm, the network will increase the difficulty of that algorithm, forcing it to compete evenly with other miners. Large miners cannot maintain an advantage in all algorithms simultaneously.
3) Sharding Parallelism: Miners need to choose sharding mining, and the multiple chains in parallel make it more difficult for any single miner to monopolize all shards of the entire network, requiring at least multiple times the resources to do so.
4) No Pre-Mining and Fair Distribution: No team or early investors hold large amounts of tokens, eliminating the economic privilege of a miner's status. Due to these measures, SCDO has essentially avoided the situation where the top mining pools control more than half of the computing power, as seen in Bitcoin. The more decentralized the network's computing power, the higher the security. Therefore, it can be said that SCDO has effectively mitigated the risks of computing power monopolies through technical means and distribution mechanisms, adding a layer of defense to network security. Of course, continuous community attention to the miner structure is also necessary to prevent new centralization trends, and if discovered, adjustments in parameters or algorithm upgrades can be made to respond.