<p>This article explores the scaled consensus issue in multi-agent systems under the impact of Denial-of-Service (DoS) attacks. Scaled consensus can be converted into bipartite consensus, group consensus, or general consensus by suitably adjusting the scaling factors. Consequently, scaled consensus can be construed as a broader form of consensus. First, we derive essential conditions for the system to achieve scaled consensus. Second, according to the relative output information of adjacent agents, a distributed consensus controller with dynamic event-triggered mechanism and a self-triggered mechanism is designed. In the dynamic event-triggered mechanism, the internally designed dynamic variable is capable of efficiently prolonging the time interval between events. The self-triggered mechanism predicts the next event moment based on the latest sampled information, thereby obviating the necessity for constant surveillance of the system’s operational status. Furthermore, the proposed state prediction mechanism endows the system with robust resilience against typical resource-constrained DoS attacks, thereby mitigating data loss arising from such malicious events. Ultimately, simulation results demonstrate that the developed control strategy enables all agents to achieve scaled consensus effectively even under DoS attacks.</p>