Stepn, a blockchain-based move-to-earn app, is under DDoS assaults after an update

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Along with eliminating cheating and bots, Stepn is also taking steps to restrict the amount of time that its platform is available to users in the PRC.

Move to Earn is situated in Solana Beach, California. In the wake of Stepn’s massive anti-cheating improvement, the platform has reported many DDoS assaults.

A series of DDoS assaults on the site, Stepn reported on Twitter on June 5, have resulted in recovery maintenance and incorrect performance.

Although Stepn had said that the servers will be restored within 12 hours, they had not issued an update in almost 20 hours, according to the statement.

Engineers are hard at work finding solutions. When the process of recuperation is complete, we’ll let you know about it right here. Stepn thanked everyone for their patience in a Facebook post.

SMAC, or “Stepn’s Model for Anti-Cheating,” was presented by Stepn on June 3 as an anti-cheating method. There is an effort by the system to generate unfair profit from the Stepn app by eliminating phoney users and preventing false motion data on the platform.

It’s said that SMAC uses a machine learning technique to adjust actual walking/running data to target movement simulation precisely.

It wasn’t long after SMAC’s update that Stepn discovered serious platform difficulties, including the misidentification of real users as bots. Other concerns included a “25 million DDOS assault” and the inability to monitor any bots on the platform for a short period of time.

“We apologise for any trouble this may have caused.” Stepn’s long-term evolution hinges on the anti-cheating improvement, which may appear insignificant at first glance.

Stepn’s native currency, the Green Satoshi Token (GST), has remained stable despite the platform’s recent DDoS challenges. The GST, on the other hand, has risen almost 10% in the last 24 hours, trading at $1.04 at the time of this writing. According to statistics from CoinGecko, the token’s market value is $624 million.

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