G06F21/602

Gunshot detection system with forensic data retention, live audio monitoring, and two-way communication

A gunshot detection system includes gunshot sensor units with microphones for detecting gunshots and capturing audio data depicting the detected gunshots and other ambient sounds, an environmental board with various environmental sensors for generating environmental data indicating environmental conditions. The audio data, environmental data, and position information can be stored locally on local nonvolatile storage of the gunshot sensor unit for later retrieval by law enforcement entities. In one embodiment, the gunshot sensor units include a wired and/or wireless data transfer interface for transferring the audio data, environmental data and/or position information to handheld units of law enforcement entities. The gunshot sensor unit can also stream live captured audio data for live monitoring by a control panel, and might also include speakers for providing audio playback of audio data from the control panel.

DISTRIBUTED DATA SET ENCRYPTION AND DECRYPTION

An apparatus includes a processor component of a first node device caused to receive data block encryption data and an indication of size of an encrypted data block distributed to the first node device for decryption, and in response to the data set being of encrypted data: receive an indication of the quantity of sub-blocks within the encrypted data block, and a hashed identifier for each data sub-block; use the data block encryption data to decrypt the encrypted data block to regenerate data set portions from the data sub-blocks; analyze the hashed identifier of each data sub-block to determine whether all data set portions are distributed to the first node device for processing; and in response to a determination that at least one data set portion is to be distributed to a second node device for processing, transmit the at least one data set portion to the second node device.

AUTOMATIC INFERENCE OF MEETING ATTENDANCE
20180012193 · 2018-01-11 ·

In one embodiment, a method for automatic inference of meeting attendance is provided. The method comprises sending a calendar request to a plurality of users that are invited to a meeting. The method further comprises receiving from each user of the plurality, a unique string identifying the user. The method further comprises generating a lookup table identifying the users of the plurality and their respective unique strings. The method further comprises receiving a first string broadcasted by a first user during the meeting. The method further comprises, responsive to determining that the broadcasted first string does not match one of the unique strings in the lookup table, performing an action to prevent the first user from receiving meeting content determined to be confidential.

Multi-party encryption cube processing apparatuses, methods and systems

Computer-implemented systems and methods are disclosed herein for use within secure multi-party computation. A system and method are used for storing an operation preference and a cryptographic preference. A data set is stored based on the operation preference and the cryptographic preference. A determination is made that processing the query involves performing an allowable operation on the data set based on the operation preference.

Earpiece with Digital Rights Management
20180011994 · 2018-01-11 · ·

A wireless earpiece for digital rights management is provided. The wireless earpiece includes a processor disposed within the ear piece housing, a speaker operatively connected to the processor, a storage medium disposed within the ear piece housing and operatively connected to the processor, and a wireless transceiver disposed within the ear piece housing and operatively connected to the processor. The processor may be configured to access audio files stored on the storage medium to play the audio files over the speaker. The processor may be configured to provide a digital rights management feature for one or more of the audio files. The processor may be further configured to access an audio stream conveyed to the earpiece through the wireless transceiver. The processor may be further configured to provide a digital rights management for the audio stream.

SELECTIVE MEMORY ENCRYPTION
20180011802 · 2018-01-11 ·

In one example in accordance with the present disclosure, a method may include receiving, by a processor on a system on a chip (SoC), a request to encrypt a subset of data accessed by a process. The method may also include receiving, at a page encryption hardware unit of the SoC, a system call from an operating system on behalf of the process, to generate an encrypted memory page corresponding to the subset of data. The method may also include generating, by the page encryption hardware unit, an encryption/decryption key for the first physical memory address. The encryption/decryption key may not be accessible by the operating system. The method may also include encrypting, by the page encryption hardware unit, the subset of data to the physical memory address using the encryption/decryption key and storing, by the page encryption hardware unit, the encryption/decryption key in a key store.

Just-in-time post-processing computation capabilities for encrypted data

Aspects of a storage device including a memory and an encryption core are provided. The storage device may be configured for providing secure data storage, as well as one or more post-processing operations to be performed with the data. The encryption core, which may be configured to decrypt data, may control execution of one or more post-processing operations using the data. A read command received from a host device may include a tag associated with data identified by the read command. When encrypted data is retrieved from memory according to the read command, the encryption core may decrypt the encrypted data and provide the decrypted data for post-processing based on the tag. A corresponding post-processing operation may return a result when executed using the decrypted data. Rather than raw data identified by the read command, the result may be delivered to the host device in response to the read command.

Performing error checking operations on encrypted write data in a memory sub-system

System and methods are disclosed including a plurality of memory devices and a processing device, operatively coupled with the plurality of memory devices, to perform operations comprising: receiving, from a host system, encrypted write data appended with error-checking data; determining whether the encrypted write data contains an error based on the error-checking data; and responsive to determining that the encrypted write data contains an error, notifying the host system that the encrypted write data contains an error.

Data integrity

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that protect analytics for resources of a publisher from traffic directed to such resources by malicious entities. An analytics server receives a first message that includes an encrypted token and analytics data for a publisher-provided resource. The token includes a portion of the analytics data and a trust score indicating a likelihood that activity on the resource is attributed to a human (rather than an automated process). The analytics server decrypts the token. The analytics server determines a trustworthiness measure for the analytics data included in the first message based on the trust score (in the decrypted token) and a comparison of the analytics data in the first message and the portion of the analytics data (in the decrypted token). Based on the measure of trustworthiness, the analytics server performs analytics operations using the analytics data.

Methods for securing files within a storage device using artificial intelligence and devices thereof
11709957 · 2023-07-25 · ·

The present technology relates to identifying an artificial intelligence model based on a received first key value to write a received first block of data associated with a file. The received first key value is applied to the identified artificial intelligence model which is trained to output one of a plurality of actual index values where the identified artificial intelligence model and the plurality of data blocks are stored as a neural tree. The one of the actual index values is compared to a range within the actual index values to determine when the one of the actual index value points to a first data block of the plurality of data. The received first block of data associated with the file is written into the determined first data block.