<p>The mean-square exponential synchronization (MSES) for delayed memristive neural networks (DMNNs, MNNs) subject to deception attacks is addressed in this paper. To reduce communication burdens and resist the effects of deception attacks, the switching event-triggered (SET) scheme is proposed that alternates between aperiodic sampled intervals and event trigger intervals. Considering the characteristics of the drive-response systems, an error system is formulated by incorporating the interval matrix method (IMM) to model memristive connection weights. In the construction of the controller, residual terms within the error system and mathematically characterized deception attacks are thoroughly considered, resulting in a novel secure controller. Based on this, piecewise Lyapunov functionals are constructed. Through the inequality techniques and Lyapunov stability theory, two MSES criteria are established under deception attacks. Additionally, an easily implementable algorithm is proposed to solve the maximum deception attack rate allowed by the system. Finally, the validity of the interval-dependent functionals and the superiority of the SET control scheme are verified by numerical examples.</p>