Cisco Technology, Inc.

Prasad Walawalkar

Abhishek Mukherji

Abhishek Bhattacharyya

Balaji Gurumurthy

Santosh Ghanshyam Pandey

Vinay S Raghuram

Jenny Marie Yoshihara

Chayan Bhaisare

In one embodiment, a traffic analysis service receives payload data from packets sent by a sensor tag in a network. The service forms a payload signature for the sensor tag, based on the payload data. The payload signature is indicative of one or more bytes in the payload that vary across the packets. The service identifies a portion of the payload data as potentially including a sensor measurement, based on the payload signature. The service uses a machine learning classifier to assign a sensor measurement type to the identified portion of the payload data.

Vendor agnostic sensor telemetry detection, processing, and identification

In one embodiment, a device receives location estimates for a wireless node in a network, each location estimate having an associated timestamp. The device applies hierarchical clustering to the received location estimates and their associated timestamps, to identify locations and points in time in which the wireless node was stationary. The device performs sequence modeling on the identified locations and points in time in which the wireless node was stationary, to form a sequence of locations and associated time periods in which the wireless node was stationary. The device associates the wireless node with a behavioral profile based on the sequence of locations and associated time periods in which the wireless node. The device generates, based in part on the behavioral profile for the wireless node, a predictive model that predicts a location of the wireless node at a particular point in time.

Characterizing movement behaviors of wireless nodes in a network

Growing community of inventors

Fremont, CA, United States of America

Prasad Walawalkar