Probabilistic QV

PQV Basic

Sybil attack is advantageous in QV because the more votes are divided, the more profitable it is. D3LAB suggests PQV which applies a probabilistic model so dividing votes always results in a loss.

Assume that the total number of votes is 100, and a user submitted 10 votes. There is a 10% ( $\frac{10}{100}$ ) of chance that his opinion will be reflected, or a 90% ( $1-\frac{10}{100}$ )chance that it will not.

The expected value of voting in this condition is $\sqrt{10}\times0.1\approx0.3162$ . However if the user split the 10 votes in two, the expected value lowered to $\sqrt{5}\times2\times0.05\approx0.2246$ . This means doing Sybil attack is less beneficial.

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Last updated 3 years ago

PQV Basic

Sybil attack is advantageous in QV because the more votes are divided, the more profitable it is. D3LAB suggests PQV which applies a probabilistic model so dividing votes always results in a loss.

Assume that the total number of votes is 100, and a user submitted 10 votes. There is a 10% (

\frac{10}{100}

) of chance that his opinion will be reflected, or a 90% (

1-\frac{10}{100}

)chance that it will not.

The expected value of voting in this condition is

\sqrt{10}\times0.1\approx0.3162

. However if the user split the 10 votes in two, the expected value lowered to

\sqrt{5}\times2\times0.05\approx0.2246

. This means doing Sybil attack is less beneficial.