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How Do Multiple Data Sources Help an Oracle Resist a Low-Liquidity DEX Attack?

By aggregating data from multiple, diverse sources, a decentralized oracle network can identify and disregard anomalous price spikes from a single, low-liquidity source. If an attacker manipulates one DEX, the reported price from that single source will be a massive outlier compared to the average price from all other reputable sources.

The aggregation mechanism can filter out or weigh down the outlier, ensuring the final reported price remains accurate and stable.

How Does a DON Handle a Highly Illiquid Data Source during Aggregation?
What Is the Role of the “Bloom Filter” in Enabling SPV Clients to Request Relevant Data?
Can a TWAP Oracle Be Manipulated, and If So, What Are the Common Attack Vectors?
How Does a Decentralized Oracle Handle Data Aggregation?