Unique existence of solutions to porous media equations driven by continuous linear multiplicative space-time rough signals is proven for initial data in L 1 (O) on bounded domains O. The generation of a continuous, order-preserving random dynamical system on L 1 (O) and the existence of a random attractor for stochastic porous media equations perturbed by linear multiplicative noise in space and time is obtained. The random attractor is shown to be compact and attracting in L ∞ (O) norm. Uniform L ∞ bounds and uniform spacetime continuity of the solutions is shown. General noise including fractional Brownian motion for all Hurst parameters is treated and a pathwise Wong-Zakai result for driving noise given by a continuous semimartingale is obtained. For fast diffusion equations driven by continuous linear multiplicative space-time rough signals, existence of solutions is proven for initial data in L m+1 (O).1. Introduction. The qualitative study of stochastic dynamics induced by stochastic partial differential equations (SPDE) especially in the case of non-Markovian noise is based on the theory of random dynamical systems (RDS); cf., for example, [2]. Since the foundational work [17,18,43] the long-time behavior of several quasilinear SPDE has been investigated by means of the existence of random attractors. However, all these results are restricted to simple models of the noise (e.g., additive or real multiplicative 2 ) not including the important case of linear multiplicative space-time