Mcafee, Inc.

Intel Corporation

Other

Mastercard International Incorporated

Musarubra US LLC

Simon R Hunt

Ned M Smith

Venkata Ramanan Sambandam

Barry E Huntley

Rajesh Poornachandran

Vincent J Zimmer

Thomas J Kenney

Markus Dominik Mueck

Bernhard Raaf

Hyung-Nam Choi

Shahrnaz Azizi

Rita H Wouhaybi

Nageen Himayat

Shilpa Talwar

Marta Martinez Tarradell

Srikathyayani Srikanteswara

Christian Drewes

Zhibin Yu

Thorsten Clevorn

Dave A Cavalcanti

John Joseph Browne

Robert Zaus

Biljana Badic

Feng Xue

Venkatesan Nallampatti Ekambaram

Maruti Gupta Hyde

Steven L Grobman

Carl D Woodward

Ingolf Karls

Yiting Liao

Juergen H Kreuchauf

Kunal Mehta

Stefan Franz

Ralph Hasholzner

Igor G Muttik

Igor Tatourian

Christopher John Merz

Cedric Cochin

Paul Nicholas Gartside

Joshua A Allbright

Hong C Li

Alex Nayshtut

Oleg Pogorelik

Howard C Herbert

Maruti Gupta

Prasanna Venkateswaran

Jayakrishnan Karunakaran Nair

Sudeep Das

Arthur S Zeigler

Reinhold Schneider

Christopher MacNamara

Sarabjot Singh

Niall Power

Pramod Sharma

Ashish Singh

Ryan M Durand

Uwe Kliemann

Sumant Vashisth

Venkata Ramanan

Rajkaran Dhesi

Paul Parke

Sean T Tiernan

Craig D Schmugar

Martin Stecher

Ajay G Gupta

Rohit Jain

Nicholas Liebmann

Mark E Scott-Nash

Felix Johannes Flory

Jennifer Eligius Mankin

Samir Shah

Christiaan Beek

Yury Bulygin

Robert Leong

Melanie Gersten

Sumithra Dhandayuthapani

Sumithira Rasappa Gounder

Katalin Klara Bartfai-Walcott

German Lancioni

Rameshkumar G Illikkal

Balbir Singh

Matthew D Wood

Michael G Bishop

Priyadarsini Devanand

Bikram Kumar Gupta

Alexander James Hinchliffe

Chris Macnamara

Ajay Gupta

Alexander J Hinchliffe

Pablo R Passera

Nitin Munjal

Mike Bishop

Brian T Robison

Ranjith Kumar Jidigam

Alger Wan Kwong Yeung

Nitin Jaglan

Jeffrey Zimmerman

Steven P Wisner

Vinay Anand

Nageen Himatat

A system for identifying complete account identifiers from partial account identifiers is provided. The system includes an account identification computing device including at least one processor and a memory device in communication with the at least one processor. The processor is configured to receive transaction data including unique merchant identifiers, build a merchant table using the transaction data, and receive a list including partial account identifiers. The processor is further configured to determine, for each unique merchant identifier, a number of candidate account identifiers and calculate at least one metric based on the number of candidate account identifiers. The processor is further configured to identify a source unique merchant identifier and match at least one candidate account identifier to a complete account identifier by matching one of the partial account identifiers to the at least one candidate account identifier.

Systems and methods for identifying full account numbers from partial account numbers

This disclosure describes systems and methods related to utilizing hardware assisted protection for media content. In some embodiments, a provided method comprises: receiving, from a content server and by a computing device processor of a secure enclave of a device, first encrypted media content; decrypting, by the computing device processor, the first encrypted media content using a first decryption key; generating, by the computing device processor, a second decryption key; encrypting, by the computing device processor, the first decrypted media content using the second key, thereby resulting in second encrypted media content; and sending, by the computing device processor and to one or more graphical processing units (GPUs) comprised in a graphics component of the device, the second encrypted media content and the second decryption key.

Systems and methods for utilizing hardware assisted protection for media content

A circuit arrangement includes a preprocessing circuit configured to obtain context information related to a user location, a learning circuit configured to determine a predicted user movement based on context information related to a user location to obtain a predicted route and to determine predicted radio conditions along the predicted route, and a decision circuit configured to, based on the predicted radio conditions, identify one or more first areas expected to have a first type of radio conditions and one or more second areas expected to have a second type of radio conditions different from the first type of radio conditions and to control radio activity while traveling on the predicted route according to the one or more first areas and the one or more second areas.

Methods and devices for radio communications

Technologies for privacy-safe security policy evaluation are disclosed herein. An example apparatus includes at least one memory, and at least one processor to execute instructions to at least identify one or more non-sensitive parameters of a plurality of policy parameters and one or more sensitive parameters of the plurality of the policy parameters, the plurality of the policy parameters obtained from a computing device in response to a request from a cloud analytics server for the plurality of the policy parameters, encrypt the one or more sensitive parameters to generate encrypted parameter data in response to the identification of the one or more sensitive parameters, and transmit the encrypted parameter data to the cloud analytics server, the cloud analytics server to curry a security policy function based on one or more of the plurality of the policy parameters.

Technologies for privacy-preserving security policy evaluation

A wireless communication device includes a processor configured to select an offload processing task for performance by an edge computing device; cause a baseband modem to establish a direct wireless connection between the wireless communication device and the edge computing device; cause the baseband modem to send first data to the edge computing device via the direct wireless connection; and receive second data from the edge computing device, wherein the second data comprise a result of the offload processing task performed on the first data. The edge computing device includes a processor configured to receive, from a user device, offloaded data to be processed according to an offload processing task; execute the offload processing task on the offloaded data; and cause the radio via the interface to wirelessly send a result of the executed offload processing task via a direct wireless connection with the user device.

There is disclosed in an example, a pourable smart matter having a plurality of compute nodes, the compute nodes having: a mechanical structure having a plurality of faces, the faces having abutting face detectors; a network interface; and one or more logic elements comprising a positional engine to: identify a neighbor compute node abutting at least one of the faces; and build an individual positional profile based at least in part on the identifying. The pourable smart matter may be used, for example, to determine the geometry or volume of a container.

Pourable smart matter

Technologies for monitoring vehicle traffic include a traffic analysis server that receives infrastructure data from infrastructure sensors positioned along a road segment of a road and vehicle data from one or more vehicles travelling along the road segment. The traffic analysis server determines whether anomalies are present in the traffic data through the road segment based on an expected traffic behavior for the road segment. The traffic analysis server determines the expected traffic behavior for the road segment in a particular time window based on a historical traffic pattern associated with the road segment, based on historical vehicle data and historical infrastructure data captured during a prior time window corresponding to the particular time window for that road segment. Other embodiments are described and claimed.

Technologies for detection of anomalies in vehicle traffic patterns

There is disclosed in one example a computing apparatus, including: a processor and a memory; a network interface to communicatively couple to a backup client; a storage to receive backup data from the client, including a plurality of versions and an associated reputation for each version, the associated reputation to indicate a probability that the version is valid; and instructions encoded within the memory to instruct the processor to: receive from the backup client a request to store a new version of the backup data; determine that the client has exceeded a backup threshold; identify a backup version having a lowest reputation for validity; and expunge the backup version having the lowest reputation for validity.

Intelligent backup and versioning

Technologies for distribution of a shared image include determining results of a first hash operation applied to a plurality of elements of an image of a software installation, determining results of the first hash operation applied to the plurality of contents of a client, comparing results of the first hash operation applied to the plurality of elements of the image with the results of the first hash operation applied to the plurality of contents of the client, determining that one or more of the plurality of elements of the image are unavailable on the client based on the comparison of the results of the first hash operation applied to the plurality of elements of the image with the results of the first hash operation applied to the plurality of contents of the client, and causing the transmission of the elements to the client.

Efficient shared image deployment

Methods apparatus, systems, and articles of manufacture for IoT and PoS anti-malware are disclosed. An example method includes detecting a combination of function calls. Whether the combination of function calls is a forbidden combination of function calls for the device is detected based on a limited intended functionality of the device. The forbidden combination of function calls includes a first function call and a second function call. The first function call is allowed in isolation from the second function call. The second function call is allowed in isolation from the first function call. In response to determining that the combination of function calls is forbidden for the device, a responsive action is performed.

IoT and PoS anti-malware strategy

A method to onboard a subordinate node to a high performance computing system that includes a fabric switch network that includes a fabric switch principal and a group of subordinate nodes, wherein the fabric switch principal is configured to route messages between subordinate nodes of the group comprising: receiving a fabric switch principal address message, at an onboarding subordinate node, over an external network; providing an identification message, by the onboarding subordinate node, over the fabric switch network; receiving the identification message, at the fabric switch principal, over the fabric switch network; providing the permission message, by the fabric switch principal, over the fabric switch network; and receiving, a permission message, at the onboarding subordinate node, over the fabric switch network.

Onboarding and accounting of devices into an HPC fabric

Technologies for performing energy efficient software distribution include a mesh node. The mesh node is to obtain fingerprint data of a plurality of other mesh nodes in a network. The mesh node is also to determine corresponding characteristics of the mesh nodes from the obtained fingerprint data, including an energy status of each of the mesh nodes. The mesh node is also to perform an analysis of a software update, determine, as a function of the analysis of the software update, one or more target mesh nodes of the plurality of mesh nodes for the software update, and determine a path through the mesh nodes to the one or more target mesh nodes as a function of the fingerprint data. Other embodiments are also described and claimed.

Technologies for performing energy efficient software distribution

Systems, devices and methods to protect a regional network (e.g., home network) by monitoring devices connected to and attempting to connect to the regional network. Monitoring includes assessing and addressing security concerns regarding devices attempting to or available to connect to the regional network as well as monitoring configurations and activity of connected devices. Devices to monitor include: computers, Personal Digital Assistants (PDAs), laptops, tablets, home appliances, smartphones, smart televisions, and any other type of device in the logical proximity of the regional network.

Security gateway for a regional/home network

Growing community of inventors

Campbell, CA, United States of America

Simon R Hunt