Qualcomm Incorporated

Deckard Technologies, Inc.

Targetproof, LLC

Gregory Gordon Rose

Philip Michael Hawkes

Alexander Gantman

Lu Xiao

James Semple

Roy Franklin Quick, Jr

Michael Paddon

David Jonathan Julian

John W Noerenberg, Ii

Michael William Paddon

Avneesh Agrawal

Chong U Lee

Jack Brian Steenstra

Kamran Moallemi

Manuel Eduardo Jaime

Robert Keith Douglas

Anand Palanigounder

John Nasielski

Arun Balakrishnan

Ahmad Jalali

Ramin Rezaiifar

Raymond T Hsu

Brian Marc Rosenberg

Craig B Lauer

Joan T Waltman

Renwei Ge

John Jozwiak

Daniel Komaromy

Jae-Hee Choi

Nickolas Del Pego

Craig Brown

Anthony Moriarty

Jessica Flanagan

Miriam Wiggers De Vries

John Wallace Nasielski

Jun Wang

Parag Arun Agashe

Paul E Bender

Leonid Sheynblat

Adrian Edward Escott

Young Cheul Yoon

Nikolai Konrad Leung

Arungundram C Mahendran

Raymond Tah-Sheng Hsu

Oliver Michaelis

Laurence Geoffrey Lundblade

Liren Chen

Roberto Avanzi

Boris Dolgunov

Ricardo Jorge Lopez

Aram Perez

Adam J Drew

Alex Gantman

John Noerenberg

Miriam M Wiggers De Vries

Andrew C Schenkel

Steve Millendorf

Tolga Yalcinkaya

Matthew W Hohfeld

Elio J Oliva

Phillip Hawkes

Steven M Siebert

Weikai Xie

Thomas M Stone

Claire Hardgrove

Roy Franklin Quick

Described are medias, systems, and computer-implemented methods to detect improper residency status by performing a data mining task to data source to detect one or more improper residency indicia, applying a machine learning algorithm to identify an initial candidate, calculating a probability that the initial candidate has an improper residency status, and validating the detection. Further described are medias, systems, and computer-implemented methods to detect improper occupancy tax status.

Detecting and validating improper residency status through data mining, natural language processing, and machine learning

Provided herein are media, systems, and methods that identify the address of a rental property from public sources (e.g., rental listings, maps, and county property records). A data mining task process may be performed, by each of a plurality of first data ingestion interfaces to a unique external property data source, to determine at least one property record depiction, each property record depiction associated with a property record. A first machine learning algorithm may be applied to the at least one rental property depiction and the at least one property record depiction from each data source to identify one or more common property records, wherein each common property record comprises a property record that refers to the rental property. A data mining task process may be performed, by a second data ingestion interface to the one or more common property records to determine the street address of the rental property.

Identifying and validating rental property addresses

Described are medias, systems, and computer-implemented methods to detect improper residency status by performing a data mining task to data source to detect one or more improper residency indicia, applying a machine learning algorithm to identify an initial candidate, calculating a probability that the initial candidate has an improper residency status, and validating the detection. Further described are medias, systems, and computer-implemented methods to detect improper occupancy tax status. Further described are medias, systems, and computer-implemented methods to detect an improper homeowner exemption.

Detecting and validating improper homeowner exemptions through data mining, natural language processing, and machine learning

Systems and methods can support change management thresholds within human machine interfaces. An operation or feature may be introduced into a multi-user information system where a benefit is conveyed to specific benefited instances of events. A user indication associated with the specific benefited instances may be initially disabled. A quantity of the specific benefited instances may be calculated or counted. The calculated quantity may be compared to a threshold quantity. The user indication associated with the specific benefited instances may be enabled in response to the comparison indicating that the threshold has been exceeded. The user indication may be presented via a user interface mechanism associated with the multi-user information system. According to certain examples, sender authentication may be added to an email system such that instances of authentication are not displayed until a certain number or percentage of messages is being authenticated.

Participation thresholding for extending communication security functionality

One feature pertains to methods for generating cryptographic values associated with substitution boxes (S-box). The methods includes first obtaining an input value and a first value. One method includes generating an S-box output value by performing an exclusive OR (XOR) operation on the input value and the first value to generate an intermediate value, and performing a bitwise rotation on the intermediate value by a number of bits equal to the Hamming Weight of the intermediate value. In one aspect, the output of this bitwise rotation is further XOR-ed with a second value. Another method includes generating the S-box output value by performing a bitwise rotation on the input value by a number of bits equal to the Hamming Weight of the input value to generate an intermediate value, and performing an XOR operation on the intermediate value and the first value.

Method and apparatus for a computable, large, variable and secure substitution box

A system is provided for inside-to-outside or outside-to-inside cryptographic coding that facilitates product authentication along a distribution channel. An association of authenticated, secured codes is generated between inner items (e.g., pharmaceutical doses such as pills, capsules, tablets) and outer items (e.g., packaging containing inner items). For instance, an inner code associated with a first item is used to generate (at least partially) an outer code associated with a second item that contains one or more first items. This process may be repeated multiple times with codes for outer items being a function of codes for inner items. The sequence of items may be authenticated by the dependent relationship between their codes.

Product authentication using end-to-end cryptographic scheme

Mobile commerce authentication and authorization systems enable currently existing point-of-sale devices that are neither structurally nor systemically altered to conduct financial transactions with a customer using an access terminal across a wireless communications system. The point-of-sale devices receive an input from a payment instrument replacement, which identifies the transaction to the point-of-sale device as a transaction including an access terminal. Authentication of the user of the access terminal is achieved at least by application of position and/or location determinable features of the access terminal, the position and/or location of a point-of-sale device of a vendor or merchant where the customer seeks to purchase goods or services, and the payment sum entered on the point-of-sale device. A payment matching server may assist in processing the location data and the payment sum amount across communications network.

Mobile commerce authentication and authorization systems

Various operations may be performed based on a distance-related function associated with two or more devices. For example, an association procedure for two or more devices may be based on one or more determined distances. Similarly, presence management may be based on one or more determined distances. A distance-related function may take various form including, for example, a distance between devices, two or more distances between devices, a rate of change in a relative distance between devices, relative acceleration between devices, or some combination of two or more of the these distance-related functions.

System and method for enabling operations based on distance to and motion of remote device

System and method of associating devices based on actuation of input devices and signal strength

A block cipher is provided that secures data by encrypting it based on the memory address where it is to be stored. When encrypting data for storage in the memory address, the memory address is encrypted in a first plurality of block cipher rounds. Data round keys are generated using information from the first plurality of block cipher rounds. Data to be stored is combined with the encrypted memory address and encrypted in a second plurality of block cipher rounds using the data round keys. The encrypted data is then stored in the memory location. When decrypting data, the memory address is again encrypted as before while the encrypted stored data is decrypted in a second plurality of the block cipher rounds using the data round keys to obtain a partially decrypted data. The partially decrypted data is combined with the encrypted memory address to obtain fully decrypted data.

Low latency block cipher

A portable self-contained node apparatus establishes a connection to a host apparatus having one or more peripheral devices connected directly thereto. The node apparatus is configured to view the one or more peripheral devices while being unaware of the host apparatus, and to act as a master device interacting directly with the one or more peripheral devices.

Method and apparatus for portable self-contained node computer

Methods, devices, and systems for detecting return-oriented programming (ROP) exploits are disclosed. A system includes a processor, a main memory, and a cache memory. A cache monitor develops an instruction loading profile by monitoring accesses to cached instructions found in the cache memory and misses to instructions not currently in the cache memory. A remedial action unit terminates execution of one or more of the valid code sequences if the instruction loading profile is indicative of execution of an ROP exploit involving one or more valid code sequences. The instruction loading profile may be a hit/miss ratio derived from monitoring cache hits relative to cache misses. The ROP exploits may include code snippets that each include an executable instruction and a return instruction from valid code sequences.

Methods, devices, and systems for detecting return oriented programming exploits

Distance-based presence management

A method, an apparatus, and a computer program product for generating and processing random numbers are provided. An apparatus comprises a processing system that includes a processor, a random number generator and a pair of buffers. A first buffer receives low-entropy random numbers generated by the random number generator and a second buffer provides high-entropy random numbers directly to a processing system. The processing system may directly access the second buffer in response to an instruction executed by the processing system. The processing system responds to an interrupt based on occupancy levels of the buffers by conditioning low-entropy random numbers read from the first buffer to obtain high-entropy random numbers that are then stored in the second.

Interrupt driven hardware random number generator

To inhibit cross-site forgery attacks, different types/classes of cookies are used. A first cookie and a second cookie are generated by a web server and provided to a client browser during a web session. The first cookie defines a first set of use conditions for when the first cookie is to be used within the web session. The second cookie defines a second set of use conditions for when the second cookie is to be used within the web session. The client browser determines which (if any) of the first cookie or second cookie to send to the web server based on the use conditions defined within each cookie and the operation(s) sought by the client browser. The web server may grant different or the same privileges to operation(s) being sought by the client browser depending on whether the first or second cookie is sent by the client browser.

Prevention of cross site request forgery attacks by conditional use cookies

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San Diego, CA, United States of America

Gregory Gordon Rose