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In this paper, we focus on the physical layer security for a K-usermultiple-input-single-output (MISO) wiretap channel in the presence of amalicious eavesdropper, where we propose several interference exploitation (IE)precoding schemes for different types of the eavesdropper. Specifically, in thecase where a common eavesdropper decodes the signal directly and Eve's fullchannel state information (CSI) is available at the transmitter, we show thatthe required transmit power can be further reduced by re-designing the`destructive region' of the constellations for symbol-level precoding andre-formulating the power minimization problem. We further study the SINRbalancing problems with the derived `complete destructive region' with full,statistical and no Eve's CSI, respectively, and show that the SINR balancingproblem becomes non-convex with statistical or no Eve's CSI. On the other hand,in the presence of a smart eavesdropper using maximal likelihood (ML)detection, the security cannot be guaranteed with all the existing approaches.To this end, we further propose a random jamming scheme (RJS) and a randomprecoding scheme (RPS), respectively. To solve the introduced convex/non-convexproblems in an efficient manner, we propose an iterative algorithm for theconvex ones based on the Karush-Kuhn-Tucker (KKT) conditions, and deal with thenon-convex ones by resorting to Taylor expansions. Simulation results show thatall proposed schemes outperform the existing works in secrecy performance, andthat the proposed algorithm improves the computation efficiency significantly.

Secure Interference Exploitation Precoding in MISO Wiretap Channel: Destructive Region Redefinition with Efficient Solutions