  This work proposes a provably convergent and low complexity optimization
algorithm for the maximization of the secrecy energy efficiency in the uplink
of a wireless network aided by a Reconfigurable Intelligent Surface (RIS), in
the presence of an eavesdropper. The mobil users' transmit powers and the RIS
reflection coefficients are optimized. Numerical results show the performance
of the proposed methods and compare the use of active and nearly-passive RISs
from an energy-efficient perspective.
