Described herein are a method and security enhancing device for a bi-directional communications device, comprising: an M-digit display; a processor; a security software application (security App) adapted to be stored in memory and executed by the processor; an N-digit random number generator adapted to periodically generate a new N-digit random number and transmit the same to the processor and the security App, and wherein the processor is further adapted to transmit the N-digit random number to the display to display the N-digit random number; and a wireless communications transceiver and antenna (wireless communications device) adapted to transmit and receive wireless communications to and from, respectively, one or more personal electronic devices that are adapted to wireless communicate using identical communications protocols as the wireless communications transceiver, and wherein the security App is adapted to receive and store the N-bit digit random number that changes periodically, and wherein the security App is adapted to generate an offer to join the meeting message that is transmitted by the wireless communications transceiver to the one or more personal electronic devices, and wherein the security App is adapted to receive a request to join the meeting message from a first personal electronic device, wherein the request to join the meeting message comprises a field within which a currently displayed N-digit random number can be entered into (request to join N-digit random number), and wherein the security App is further adapted to compare the received request to join N-digit random number to the stored N-digit random number, and if they match, then the security App provides a communication to the processor to allow bi-directional communications with the personal electronic device that transmitted the received N-digit random number.

A fluctuating oscillator includes: a processor including a digital circuit, and the processor includes a random variable generation unit that generates a random variable, a lookup table that stores a waveform signal in advance, a computation unit that imparts fluctuation to the waveform signal based on the waveform signal read from the lookup table, the random variable generated by the random variable generation unit, and a pulse signal to be fed back, a threshold discrimination unit that generates a pulse signal by comparing a fluctuating signal output from the computation unit with a predetermined threshold, and a feedback loop that causes the pulse signal to be fed back to the computation unit.

Systems and methods are described for resource-efficient memory deduplication and write-protection. In an example, a method includes receiving, by a computing device having a processor, a request to assess deduplication for a plurality of candidate files. The computing device may perform one or more iterative steps for deduplication. The iterative steps may include: receiving, from the plurality of candidate files, a candidate file that is not write-protected; determining, based on a predetermined Bernoulli distribution, a decision to write-protect the candidate file; rendering the candidate file as a write-protected candidate file; determining, based on a review of other candidate files from the plurality of candidate files, that the write-protected candidate file can be deduplicated; and deduplicating the write-protected candidate file.

A method for fetching a content from a web server to a client device is disclosed, using tunnel devices serving as intermediate devices. The tunnel device is selected based on an attribute, such as IP Geolocation. A tunnel bank server stores a list of available tunnels that may be used, associated with values of various attribute types. The tunnel devices initiate communication with the tunnel bank server, and stays connected to it, for allowing a communication session initiated by the tunnel bank server. Upon receiving a request from a client to a content and for specific attribute types and values, a tunnel is selected by the tunnel bank server, and is used as a tunnel for retrieving the required content from the web server, using standard protocol such as SOCKS, WebSocket or HTTP Proxy. The client only communicates with a super proxy server that manages the content fetching scheme.

A method for fetching a content from a web server to a client device is disclosed, using tunnel devices serving as intermediate devices. The tunnel device is selected based on an attribute, such as IP Geolocation. A tunnel bank server stores a list of available tunnels that may be used, associated with values of various attribute types. The tunnel devices initiate communication with the tunnel bank server, and stays connected to it, for allowing a communication session initiated by the tunnel bank server. Upon receiving a request from a client to a content and for specific attribute types and values, a tunnel is selected by the tunnel bank server, and is used as a tunnel for retrieving the required content from the web server, using standard protocol such as SOCKS, WebSocket or HTTP Proxy. The client only communicates with a super proxy server that manages the content fetching scheme.

Disclosed is a box-regularized particle filtering process which includes an Epanechnikov kernel smoothing step. For this purpose, the process uses a special method for generating random numbers that follow an Epanechnikov probability density function. The process can be performed autonomously in a navigation system using correlation measurement, in particular on board an aircraft such as an aircraft, a flying drone or any self-propelled aerial carrier.

Various examples are direct to computer-implemented systems and methods for providing an artificial multispectral metadata generator. A method includes receiving, by a computer system, an input data set, and determining attributes of the input data set to be transformed, retained, anonymized, or dropped. For the attributes to be transformed, the computer system generates three or more random noise sets, using at least two noise generation methods. An amalgamated random set is created from the three or more random noise sets using a programmable ratio, and the system uses the amalgamated random set to create an artificial data set that can be used to gain insights from the input data set without having access to the input data set.

Disclosed is a method for generating a random number, which is performed by a computing device including at least one processor. The method for generating a random number may include: recognizing the number of detection times at which a single photon detector (SPD) detects a dark count; and generating a random number based on a bit value allocated to a section including the number of detection times among a plurality of sections.

A gaming device having a processor that selects symbols from a first set of reel strips for a plurality of columns of symbol positions, and from a second set of reel strips for a plurality of columns of symbol positions, and controls a display to display the symbols selected including displaying, at each symbol position for which a defined symbol is selected, the defined symbol with the symbol selected at a respective symbol position. Upon the symbols selected including a qualifier symbol, the processor randomly selects one of at least two different symbol replacements, and determines, using the symbol replacements, a replacement symbol for the defined symbol selected. The processor updates the plurality of symbols to incorporate the replacement symbol, and evaluates the updated plurality of symbols for winning symbol combinations.

A system, method, and device for stochastically processing data. There is an architect module operating on a processor configured to manage and control stochastic processing of data, a non-deterministic data pool module configured to provide a stream of non-deterministic values that are not derived from a function, a plurality of functionally equivalent data processing modules each configured to stochastically process data as called upon by the architect module, a data feed configured to feed a data set desired to be stochastically processed, and a structure memory module including a memory storage device and configured to provide sufficient information for the architect module to duplicate a predefined processing architecture and to record a utilized processing architecture.