Virewirx, Inc.

Purdue Research Foundation

Xcom Labs, Inc.

Ali A Elghariani

Tamer Adel Kadous

Siddhartha Mallik

Peter John Black

Jaspreet Singh

Aly El Gamal

Arif Ghafoor

A lifelong learning intrusion detection system and methods are provided. The system may capture network data directed to a host node. The host node may include a honeypot. The honeypot may emulate operation of a physical or virtual device to attract malicious activity. The system may classify, based on a supervised machine learning model, the network data as being not malicious or not malicious. The system may classify, based on an unsupervised machine learning model, the network data as being anomalous or not anomalous. The system may alter operation of the honeypot to induce malicious activity. The system may determine, after operation of the honeypot is altered, the honeypot is accessed. The system may retrain the supervised machine learning model and/or unsupervised machine learning model based the network data.

Lifelong learning based intelligent, diverse, agile, and robust system for network attack detection

Aspects of the disclosure relate to a multipoint environment that enables a station (STA) to communicate with multiple access points (APs) and an AP to communicate with multiple STAs in a single wireless protocol stack. For example, a STA can authenticate simultaneously with multiple APs and decode any data packet that includes in a header a destination address that matches an address of the STA, irrespective of the source address included in the header of the data packet. Similarly, an AP can decode any data packet that includes in a header a destination address that matches an address of the AP or that matches a wildcard address associated with the AP, irrespective of the source address included in the header of the data packet.

System and method for reducing data packet processing false alarms

Aspects of the disclosure relate to an interference-aware beamforming environment in which an AP controller can determine one or more beams of one or more APs to serve various STAs. For example, an AP can request that STA(s) provide one or more uplink pilot signals during different time slots. The AP can receive the uplink pilot signal(s) and determine, for each STA, the uplink beam quality of each transmit beam-receive beam pair over which an uplink pilot signal was received from the respective STA. The AP can use reciprocity to determine, for each STA, the downlink beam quality for various transmit beam-receive beam pairs. The AP can use the determined downlink beam quality to identify the best beam with which to serve various STAs. An AP controller can determine which downlink beam(s) an AP should use to serve a STA based on the downlink beams originally selected by the APs.

Interference-aware beamforming

Aspects of the disclosure relate to a multipoint environment that enables a station (STA) to communicate with multiple access points (APs) and an AP to communicate with multiple STAs in a single wireless protocol stack. For example, a STA can authenticate simultaneously with multiple APs and decode any data packet that includes in a header a destination address that matches an address of the STA, irrespective of the source address included in the header of the data packet. Similarly, an AP can decode any data packet that includes in a header a source address that matches an address of an authenticated STA, irrespective of the destination address included in the header of the data packet.

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San Diego, CA, United States of America

Ali A Elghariani