From a security defense perspective, privacy protection mechanisms are essentially a strong proactive defense line.

The problems being addressed actually have two levels. On the surface, it is "not wanting to be seen," but at a deeper level, it is "unable to be targeted"—this is the key.

Many on-chain attack methods, such as address spoofing, fund tracing, and pattern recognition, heavily rely on the analysis of publicly available on-chain data. Attackers gather historical transaction flows, track balance changes, and observe common trading counterparts to gradually map out your fund flows and behavioral patterns. It's like following someone on the street— as long as the person keeps walking on public roads, tracking becomes very easy.

However, when transaction details are protected by default privacy measures—including key information such as balances, counterparty, and transfer frequency—the "open source intelligence" that attackers rely on completely disappears. They cannot establish an effective target feature database, and naturally, they cannot launch targeted attacks.

This is not simply about hiding data; it fundamentally changes the default options for on-chain transparency and privacy. As a result, security is qualitatively improved.