Microsoft Technology Licensing, LLC

Roy D Kuntz

Amer A Hassan

Dawson Yee

Michael J Davis

Gurdeep Singh Pall

Carl S Olivier

Whitney J Giaimo

Neil A Deason

Rui Maximo

Mahendra D Sekaran

Russell Andrew Penar

Sankaran Narayanan

Austin N Donnelly

Bernard D Aboba

Tim M Moore

Danny Levin

Gabriel E Montenegro

Noor-E-Gagan Singh

Vijay Manian

David Anthony Lickorish

Amer Aref Hassan

Austin Donnelly

Gabriel Montenegro

Disclosed in some examples are methods, systems, and machine-readable mediums in which interference is mitigated on a wireless radio frequency channel used by multiple computing devices by adjusting (e.g., lowering) the power level of one or more computing devices (e.g., mobile devices such as User Equipment (UE) devices) and using successive interference cancellation to decode the combined signals. Successive interference cancellation may first decode a strongest signal of a combined signal of all computing devices. The decoded signal is then subtracted from the combined signal. The strongest signal of that combined signal is then decoded and then subtracted and so on until all signals are decoded.

Interference reduction for wireless communications using interference cancellation and selective power control

Disclosed in some examples are methods, systems, devices, and machine-readable mediums that detect evil twin and other anomalous access points in an IT infrastructure by detecting access points that are not in their expected locations based upon an analysis of access point reports from one or more computing devices.

Anomalous access point detection

Disclosed are systems, methods, and non-transitory computer-readable media for cryptography using different sized symbol sets. To protect against a brute force or other similar type of attack, multiple symbol sets having different sizes can be used for encrypting/decrypting data. For example, different portions of the data (e.g., data blocks representing multiple symbols, set of bits representing a single symbol) may be encrypted/decrypted using different symbol sets that include different numbers of unique symbols. Using different sized symbol sets adds additional complexity to the encryption process, thereby greatly increasing the difficulty in decrypting the encrypted data with a brute force attack.

Cryptography using varying sized symbol sets

Disclosed are systems, methods, and non-transitory computer-readable media for symmetric cryptography using varying sized symbol sets. To protect against a brute force or other similar type of attack, multiple symbol sets of varying sizes can be used for encrypting/decrypting data. For example, different portions of the data (e.g., data blocks representing multiple symbols, set of bits representing a single symbol) may be encrypted/decrypted using different symbol sets that include different numbers of unique symbols. Using varying sized symbol sets adds additional complexity to the encryption process, thereby greatly increasing the difficulty in decrypting the encrypted data with a brute force attack.

Disclosed in some examples are methods, systems, storage devices, and machine readable mediums that utilize the ability of ECC to correct errors to actively prevent errors. The memory device determines whether a request to place data of a requested value at a requested location in the storage media is likely to interfere with other data stored at other locations on the storage media, and if so, changes the requested value to a second value that will not interfere (or has a lower probability of interfering) with neighboring data. The second value may be corrected to the requested value when a read request is made for that data using ECC.

Use of error correction codes to prevent errors in neighboring storage

Disclosed in some examples are methods, systems, devices, and machine-readable mediums which optimize one or more metrics of a communication system by intentionally changing symbols in a bitstream after encoding by an error correction coder, but prior to transmission. The symbols may be changed to meet a communication metric optimization goal, such as decreasing a high PAPR, reducing an error rate, reducing an average power level (to save battery), or altering some other communication metric. The symbol that is intentionally changed is then detected by the receiver as an error and corrected by the receiver utilizing the error correction coding.

Bit error reduction of communication systems using error correction

A cryptographic key generator for a first optical transceiver includes a photodetector that receives a continuous wave light beam received via an optical channel from a second optical transceiver. The generator samples and quantizes signals from the photodetector during a plurality of intervals to generate respective samples representing respective numbers of photons incident on the photodetector during each of the plurality of intervals. The generator creates a first cryptographic key from the plurality of digital values. The second optical transceiver receives a continuous wave light beam from the first transceiver and performs the same functions to create a second cryptographic key. Due to the reciprocal nature of the channels, the first and second cryptographic keys match.

Cryptographic key creation using optical parameters

Techniques for location source ranking for determining device location are described. A location source generally refers to a source of position information (e.g., GPS coordinates, latitude and longitude, street addresses, and so forth) that can be used to determine a geographical location of a device. According to one or more embodiments, location sources and/or combinations of location sources can be ranked based on various criteria. Thus, when a location is requested for a particular device, a highest ranking available location source or combination of location sources can be selected to determine a location of the device. Location source rankings, for instance, can be maintained on a client device and/or via a remote location-related service. According to various embodiments, a location of a device can be determined to enable emergency assistance to be provided at the location.

Location source ranking for determining device location

Techniques for policies for selecting sources for resource strings are described. Generally, a resource string refers to a set of characters that can be used to initiate communication with a particular resource. According to one or more embodiments, techniques discussed herein enable resource strings to be determined at different locations, e.g., geographic locations. In at least some embodiments, string source policies are implemented that specify parameters for selecting a source from which to obtain resource strings. According to one or more embodiments, string profiles are implemented that specify resource strings that correspond to particular resources and/or types of resources.

Policies for selecting sources for resource strings

Techniques are provided for authenticating a phone or other device for a user. A phone or other device is provided to the user. A personal identification number is provided to the user. The personal identification number is used to authenticate the phone or other device in the network for the user.

Device authentication techniques

A hybrid Unified Communications (UC) telephony deployment includes users of a tenant that are hosted between a UC cloud deployment and a UC on-premise deployment that offers PSTN connectivity for the users. An identity of a tenant and its' users are maintained consistently between the on-premise and cloud based UC deployment (e.g. telephone numbers, dialing preferences, voice mail . . . ). Each user of the tenant can register with the UC service from one or more locations (e.g. on-premise, off-premise . . . ) whether or not they are hosted by the on-premise deployment or the cloud based UC deployment. Functionality of the UC deployment may also be maintained at one or more locations within the hybrid UC deployment. For example, some services (e.g. voicemail, or other services) can be hosted in the cloud while the remaining services are hosted on-premise. Different Telco providers may be chosen by the tenant to provide PSTN services for one or more users of the tenant.

Hybrid unified communications deployment between cloud and on-premise

Location of a communication network subscriber is determined employing confidence metrics such as remote vs. local computer usage, primary user in a multi-user computing environment, likelihood of forgery, and comparable ones. A fine-grained location determination is then made based on the metric results and directory information for the particular subscriber such that services like emergency services can be provided with accurate location information.

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Kirkland, WA, United States of America

Roy D Kuntz