This approach involves miners requesting a sequence of consecutive shares from the pool, which includes shares they have personally produced. By knowing the specific location of their own shares within this sequence, miners can significantly mitigate the risk of fraudulent activities, such as the submission of fake shares. This method not only addresses concerns related to the authenticity of share contributions but also underscores the complexity of executing deceptive practices within this framework.

The incentive for engaging in such deceitful actions appears to be minimal, casting doubt on the likelihood of their occurrence. A more plausible scenario for the emergence of fake shares is identified when the pool itself acts as a miner. This situation presents a unique challenge, as the pool could potentially introduce counterfeit shares to manipulate the distribution of rewards. It's important to recognize that this issue is not exclusive to any specific payout arrangement, such as Pay Per Last N Shares (PPLNS), nor is it confined to the mechanics of job declaration. This broader applicability suggests that the problem of fake share submission is a fundamental concern that spans across different operational models of mining pools, necessitating a comprehensive approach to ensure fairness and security in cryptocurrency mining activities.