Intel Corporation

Apple Inc.

Javier Perez-Ramirez

Dave A Cavalcanti

Mikhail T Galeev

Laurent Cariou

Manoj R Sastry

Richard D Roberts

Christopher N Gutierrez

Javier Felip Leon

Ignacio Javier Alvarez

Marcio Rogerio Juliato

David Israel Gonzalez Aguirre

Vuk Lesi

Javier Sebastian Turek

Juan Fang

Carlos Cordeiro

Vallabhajosyula S Somayazulu

Shabbir Ahmed

Mohammad Mamunur Rashid

Dibakar Das

Yiting Liao

Ravikumar Balakrishnan

Vy Vo

Qinghua Li

Po-Kai Huang

Thomas J Kenney

Xiaogang Chen

Minyoung Park

Chittabrata Ghosh

Shahrnaz Azizi

Feng Jiang

Alexander W Min

Hassnaa Moustafa

Cheng Chen

Omesh Tickoo

Zoran Zivkovic

Srenivas Varadarajan

Roya Doostnejad

Ibrahima J Ndiour

Mariano Tepper

Susruth Sudhakaran

Roni Abiri

Parmoon Seddighrad

Rufeng Meng

Spencer Markowitz

Robert J Stacey

Rath Vannithamby

Jing Zhu

Bahareh Sadeghi

Srikathyayani Srikanteswara

Daniel F Bravo

Feng Xue

Venkatesan Nallampatti Ekambaram

Maruti Gupta Hyde

Marcos Emanuel Carranza

Jeffrey R Foerster

Qian Wang

Kevin B Stanton

Timothy F Cox

Shengbo Xu

Mateo Guzman

Cesar Martinez-Spessot

Todd A Anderson

Mi Sun Park

Wey-Yi Guy

Tolga Acikalin

Dario Oliver

Ankitkumar Pravinbhai Navik

Nagarajan Muralidharan

Systems, apparatuses and methods may provide for technology that detects one or more non-compliant nodes with respect to a timing schedule, detects one or more compliant nodes with respect to the timing schedule, and identifies a malicious node based on positions of the one or more non-compliant nodes and the one or more compliant nodes in a network topography. The non-compliant node(s) and the compliant node(s) may be detected based on post-synchronization messages, historical attribute data and/or plane diversity data.

Attacker localization based on tracking anomaly propagation in time-sensitive networking

This disclosure describes systems, methods, and devices related to ultra-low latency (ULL). A device may generate a first frame to be sent on a first link in a multi-link operation (MLO) with an multi-link device (MLD). The device may generate a second frame to be sent on a second link in the MLO with the MLD. The device may divide the first frame and the second frame into a first plurality of segments and a second plurality of segments separated by one or more first and second time gaps, respectively. The device may indicate to a first station device having a ULL packet to initiate a transmission of the ULL packet during an earliest time gap on the first link. The device may cause to send the one or more first and second plurality of segments on the first link and second link respectively.

Ultra-low latency medium access control design for 802.11

Techniques include a method, apparatus, system and computer-readable medium to detect, quantify and localize attacks to enhance security for time-synchronized networking. Embodiments include a diagnostic stream producer to produce diagnostic information providing evidence of a timing attack on a node of a time-synchronized network. Embodiments include a diagnostic stream consumer to consume diagnostic information, analyze the diagnostic information, and determine whether a node is under a timing attack. Other embodiments are described and claimed.

Techniques to detect attacks for time synchronization networking

Cross-network time-alignment characterization for scheduled traffic

Systems and methods to detect attacks on the clocks of devices. In time sensitive networks are described. Particularly, the disclosed systems and methods provide detection and mitigation of timing synchronization attacks based on key performance indicators related to the protecting transmission windows in data streams of the time sensitive networks.

Detecting clock synchronization attacks in time sensitive networks using key performance indicators

The subject matter described herein presents various technical solutions for the technical problems facing autonomous vehicles (e.g., fully autonomous and semi-autonomous vehicles). To address technical problems facing wireless communication cost and latency, a heterogeneous roadside infrastructure can be used to improve the ability for a vehicle to communicate with a data source. To address technical problems facing interruption of vehicle services due to an abrupt loss of connection, a quality of service system provides the ability to determine and share quality of service information, such as location-based information, maps, interference data, and other quality of service information. To address technical problems facing high volume data upload and download between autonomous vehicles and cloud-based data services, optical wireless communication (OWC) provides increased data throughput and reduced complexity, and may be beneficial for short-range high-mobility wireless communications.

Systems and methods for autonomous vehicle communication

A method can be performed by a first node for determining a parameter of physical (PHY) layer circuitry of a second node. The method can include implementing a cascaded hierarchy of techniques to determine, based on an electrical signal from a second node, a parameter of the PHY layer circuitry of the second node, and causing an antenna of the first node to transmit an electromagnetic wave consistent with the determined parameter.

Feature detection in collaborative radio networks

Systems and methods to detect attacks on the clocks of devices in time sensitive networks are described. Particularly, the disclosed systems and methods provide detection and mitigation of timing synchronization attacks based on pseudo-random numbers generated and used to select and authenticate timing of transmission of messages in protected transmission windows.

Detecting clock synchronization attacks with pseudo-randomization of frames in the protected window

Systems, apparatuses and methods may provide for controlling one or more end effectors by generating a semantic labelled image based on image data, wherein the semantic labelled image is to identify a shape of an object and a semantic label of the object, associating a first set of actions with the object, and generating a plan based on an intersection of the first set of actions and a second set of actions to satisfy a command from a user through actuation of one or more end effectors, wherein the second set of actions are to be associated with the command.

Affordance-aware, multi-resolution, free-form object manipulation planning

Systems, apparatuses and methods may provide for technology that identifies a cognitive space that is to be a compressed representation of activations of a neural network, maps a plurality of activations of the neural network to a cognitive initial point and a cognitive destination point in the cognitive space and generates a first cognitive trajectory through the cognitive space, wherein the first cognitive trajectory traverses the cognitive space from the cognitive initial point to the cognitive destination point.

Neural network verification based on cognitive trajectories

This disclosure describes systems, methods, and devices related to wireless time sensitive networking. A device may identify, using an 802.3 protocol stack, an 802.3 frame received from a second device using a wired Ethernet connection, and extract, using the 802.3 protocol stack, a redundancy tag from the 802.3 frame, the redundancy tag including a sequence number. The device may generate, using an 802.11 protocol stack, an 802.11 frame with a subnetwork access protocol (SNAP) field, the SNAP field including an organizationally unique identifier (OUI) and the sequence number, the OUI including an indication of an Ethertype protocol. The device may send the 802.11 frame using a wireless connection.

Frame replication and interfaces for time sensitive networking

Systems, apparatuses and methods may provide for technology that generates, via a first neural network such as a grid network, a first vector representing a prediction of future behavior of an autonomous vehicle based on a current vehicle position and a vehicle velocity. The technology may also generate, via a second neural network such as an obstacle network, a second vector representing a prediction of future behavior of an external obstacle based on a current obstacle position and an obstacle velocity, and determine, via a third neural network such as a place network, a future trajectory for the vehicle based on the first vector and the second vector, the future trajectory representing a sequence of planned future behaviors for the vehicle. The technology may also issue actuation commands to navigate the autonomous vehicle based on the future trajectory for the vehicle.

Technology to generalize safe driving experiences for automated vehicle behavior prediction

An access point (AP) may be configured by processing circuitry to operate as a coordinator AP for performing BSS channel level coordination. The coordinator AP is configured to assign non-overlapping channels to one or more coordinated APs of overlapping BSSs to schedule time-sensitive traffic to help ensure bounded latency, jitter and reliability per BSS. In some embodiments, the AP may be configured for performing transmission level coordination and may initiate a coordinated transmission opportunity (TXOP) for resource assignment to control contention access among managed BSSs. To perform the BSS channel level coordination, the coordinator AP is configured to encode a multi-AP trigger frame (M-TF) to initiate the coordinated TXOP. The M-TF may be encoded to include a time-sensitive operation IE indicating how each STA is to access the channel within the coordinated TXOP.

Extreme high throughput (EHT) communication of QOS frames during restricted target wake time (R-TWT) service periods

Extreme high throughput (EHT) time-sensitive networking

Systems, apparatuses and methods may provide for technology that adjusts, via a short-term subsystem, a communications parameter for one or more of wireless communication devices based on data from one or more of a plurality of sensors. The technology may also determine, via a neural network, a prediction of future performance of the wireless network based on a state of the network environment, wherein the state of the network environment includes information from the short-term subsystem and location information about the wireless communication devices and other objects in the environment, and determine a change in network configuration to improve a quality of communications in the wireless network based on the prediction of future performance of the wireless network. The technology may further generate generic path loss models based on time-stamped RSSI maps and record a sequence of events that cause a significant drop in RSSI to determine a change in network configuration.

Automated network control systems that adapt network configurations based on the local network environment

Growing community of inventors

North Plains, OR, United States of America

Javier Perez-Ramirez