  In contrast to its wired counterpart, wireless communication is highly
susceptible to eavesdropping due to the broadcast nature of the wireless
propagation medium. Recent works have proposed the use of interference to
reduce eavesdropping capabilities in wireless wiretap networks. However, the
concurrent effect of interference on both eavesdropping receivers (ERs) and
legitimate receivers (LRs) has not been thoroughly investigated, and carefully
engineering the network interference is required to harness the full potential
of interference for wireless secrecy. This two part paper addresses this issue
by proposing a generalized interference alignment (GIA) technique, which
jointly designs the transceivers at the legitimate partners to impede the ERs
without interfering with LRs. In Part I, we have established a theoretical
framework for the GIA technique. In Part II, we will first propose an efficient
GIA algorithm that is applicable to large-scale networks and then evaluate the
performance of this algorithm in stochastic wireless wiretap network via both
analysis and simulation. These results reveal insights into when and how GIA
contributes to wireless secrecy.
