Pricewaterhousecoopers Llp

Pwc Product Sales LLC

Kristopher E Herring

Srdjan Marinovic

Anne E Morrow

Rebecca E Cohen

Eric Stanculescu

Robert T Rogers

Disclosed herein are embodiments of systems, methods, and products that generate semantic resolutions of wireless signals. An analytic server may train a plurality of inductive classifiers generate a respective set of deduction rules. For example, the analytic server may train a first inductive classifier to mine a first set of deduction rules matching service set identifiers (SSIDs) with business entities. As another example, the analytic server may train a second inductive classifier to mine a second set of deduction rules matching proximal groupings of wireless signals (also referred to as hyperclusters) with business entities. Upon receiving an unresolved wireless signal, the analytic server may apply at least one of the first and second set of deduction rules to assign a semantic meaning to the wireless signal.

Systems and methods for automatic resolutions of wireless signals

Disclosed herein are embodiments of systems, methods, and products comprising an analytic server, which builds a pipeline of five classifiers to validate whether an electronic device is operated by a human user. The server monitors wireless signals detected by different electronic devices by triggering a signal scanning function on the electronic devices. Based on the wireless signals reported by different electronic devices, the server generates a set of signal clusters. The server applies the pipeline of five classifiers on the wireless signals detected by an electronic device by exploiting the signal clusters included in the wireless signals. If any of the classifiers determines the electronic device is a legitimate human device, the server validates the electronic device; otherwise, the server applies the next classifier. If after a number of classifiers, none of the classifiers validates the device usage, the server determines that the device is not operated by a human.

Systems and methods for validating human mobile users with wireless signals

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Washington, DC, United States of America

Kristopher E Herring