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The emerging Internet of Things (IoT) and bidirectional communications insmart grid are expected to improve smart grid capabilities and electricitymanagement. Because of massive number of IoT devices in smart grid, size of thedata to be transmitted increases, that demands a high data rate to meet thereal-time smart grid communications requirements. Sub-6 GHz, millimeter-wave(mmWave) technologies, and massive multiple-input multiple-output (MIMO)technologies can meet high data rate demands. However, IoT enabled smart gridis still subject to various security challenges such as eavesdropping, whereattackers attempt to overhear the transmitted signals and the jamming attack,where the attacker perturbs the received signals at the receiver. In thispaper, our goal is to investigate jamming and eavesdropping attacks whileimproving secrecy capacity for smart grid communications. Specifically, wepropose to employ a hybrid beamforming design for wireless communications insmart energy grid. In previous works, the secrecy capacity is increased byrandomly augmenting the source power or setting the system combiners. Unlikestate-of-the-art, we design and evaluate the Gradient Ascent algorithm tosearch for the best combiners/waveform that maximizes the secrecy capacity insmart grid communications. We also study two different optimization scenariosby considering both fixed and variable transmit power. Numerical results areused for performance evaluation and supporting our formal analysis.

Gradient Ascent Algorithm for Enhancing Secrecy Rate in Wireless Communications for Smart Grid