This disclosure presents a novel technology that optimizes the Low-Overhead Authentication Service (LOAS) handshake protocol to reduce data traffic and CPU overhead. The technology involves selectively omitting unnecessary parameters in the ClientInit message for resumed handshakes, predicting handshake types using various factors, and introducing a new handshake workflow to handle cases where a full handshake is required despite a prediction of a resumed handshake. This technology can also be implemented in other security protocols that use handshakes and can be enhanced with machine learning algorithms for improved handshake type prediction. It provides a method for reducing CPU overhead associated with the serialization and handling of additional parameters in the ClientInit message.

Keywords: Low-Overhead Authentication Service (LOAS), handshake protocol, ClientInit message, data traffic, CPU overhead, predictive measures, handshake workflow, security protocols, machine learning, serialization.

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Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.