26 results about "Random string" patented technology

The application provides a short link suffix high-strength random generation method and system for benefit delivery, relates to the technical field of data processing and benefit delivery, and comprises the following steps: acquiring a true random number sequence through a hardware physical entropy source, and generating a random string as a short link suffix according to a mapping rule of the true random number sequence and a preset character set; performing hash calculation on the short link suffix to obtain a corresponding first hash value; converting the first hash value into an integer value; acquiring a current available database shard identifier set based on a preset shard configuration strategy, and then calculating a corresponding combined weight value based on the integer value and each database shard identifier in the database shard identifier set. The application can solve the security defects of software pseudo-random generation of short link suffixes, realize storage load balancing and intelligent resource allocation, and guarantee the real-time nature of benefit cancellation.

The invention relates to the technical field of information security, and discloses an equipment access method, management equipment, an equipment access system and a computer readable storage medium, and the method comprises the steps: the management equipment is connected with networking equipment, obtains first information of the networking equipment, generates a password according to the first information of the networking equipment and second information in the management equipment, and sends the password to the networking equipment; wherein the second information comprises the random character string generated by the management equipment, and sending the password to the networking equipment. Through the mode, the security of the networking equipment is improved, and the problems of unauthorized access, data leakage or hostile attack, password forgetting and the like are avoided.

This application discloses a method, apparatus, storage medium, and electronic device for determining verification results, relating to the field of smart home technology. The method for determining verification results includes: in response to a target object's control operation on a smart door lock, generating a temporary unlocking event for the smart door lock, wherein the temporary unlocking event carries a device random string generated by the smart door lock; sending the temporary unlocking event to a cloud platform and obtaining a remote unlocking request sent by the cloud platform based on the temporary unlocking event, the remote unlocking request carrying a device temporary verification code generated by the cloud platform based on the device random string; verifying the device temporary verification code using a device local verification code stored within the smart door lock, and determining the verification result. This technical solution solves the problem of low security in current unlocking event verification codes.

The application discloses a general verification method and system for multiple lookup table item hit configuration table items, wherein the method comprises the following steps: generating a random character string as a configuration table item template, and obtaining multiple sets of offset collections; obtaining multiple configuration table items corresponding to the multiple sets of offset collections based on the configuration table item template and the multiple sets of offset collections; specifying multiple configuration table items associated with an original message from the obtained configuration table items; and configuring the original message based on the associated configuration table items to obtain an adapted message, which is used for subsequent verification. The application can obtain multiple configuration table items by using the same template, associate the configuration table items with the message, support multiple different lookup table full keys generated from the same message, simultaneously match multiple flow tables, and accurately constrain the hit rate.

This invention discloses a method, apparatus, computing device, and storage medium for generating random codes. The method includes: acquiring a character set, a temporary variable array, a predetermined number of random codes, a quantity to be generated, and a random code identifier for generating random codes; performing combined recursive processing based on the character set and the temporary variable array to generate multiple random strings of predetermined length; performing full permutation recursive processing on each random string to generate multiple corresponding random codes, and storing them in a random code set until the number of generated random codes equals the quantity to be generated; for each generated random code, acquiring random code information and associating the random code information with the random code identifier in memory, the random code information including the predetermined number of random codes, the combined coordinate index and permutation coordinate index corresponding to the random code, and the current quantity of random codes generated. According to the technical solution of this invention, a specified number of random codes can be generated cyclically, ensuring the uniqueness and simplicity of the random codes.

This invention discloses a method for improving the confidentiality of financial data processing. In the field of information security technology, the method automatically identifies the source department and data type based on the submitter information of the financial data, determines the confidentiality level of the data using a confidentiality level rating table, and dynamically parses the key length and arrangement rules accordingly. It uses the characterization conversion results of the submitter's account and submission time, along with a random string, to perform multi-source fusion to construct a high-entropy basic key. After being hosted by a hardware security module, this key is intercepted to form the final encryption key, ensuring its unpredictability and security. An encryption algorithm combined with a random initialization vector is used to encrypt the original data text, ensuring the confidentiality and integrity of the data. The encrypted data is segmented according to the key length, generating a random number sequence and binding it to the data block. The number mapping relationship is stored on the blockchain. After being encapsulated with a unique identifier, the data block is randomly shuffled and further divided, and finally distributed and stored in the cloud.

The application discloses a service parameter comparison method, device, system and storage medium, and belongs to the field of big data processing. The method comprises the following steps: obtaining a first interaction string and a first result string based on a first binary string obtained by converting a first service parameter of a first device, a first label string randomly generated, and an initial random string agreed upon; sending the first interaction string to a second device, so that the second device obtains a second result string based on a second binary string obtained by converting a second service parameter of the second device, the initial random string, a part of the second label string randomly generated, and the first interaction string; and interacting with the second device based on the first result string and the second result string, performing fragmentation calculation, and obtaining a first comparison result. According to the embodiment of the application, the efficiency of service parameter comparison of multiple parties can be improved.

An AI-driven network security system that proactively detects and mitigates threats in enterprise environments is provided. The system integrates AI-based behavioral analysis to model normal activity and identify anomalies. It implements a Reverse Authentication Algorithm (RAA) to generate a unique 32-hex-character (128-bit) authentication (“au”) string formed from random hexadecimal values, a complement-masked timestamp, and a search string dynamically derived from an ASCII random string table. Incoming requests are validated by reconstructing and verifying the timestamp and by recomputing the search string extracted from the au string. Upon anomaly detection or authentication failure, the system triggers layered defenses including packet filtering, IP blocking via a blocklist, execution of custom threat-neutralization scripts, and integration with content delivery networks (CDNs) to mitigate volumetric attacks. The modular architecture enables real-time detection and response while integrating with existing infrastructure.

The application discloses a file authenticity verification method and system based on a blockchain file sharing system, which is based on the association of identity and file content with VDF and the construction of a challenge-response interactive protocol according to a VDF algorithm. The method comprises the following steps: a file downloader node sends a first challenge to the whole network based on a random string ch of the file content of a downloaded file; a file sharer node responds to the first challenge and generates a response fragment, and at the same time, sends a second challenge to the whole network to increase the challenge between the file sharer nodes; the file sharer node generates a response fragment based on the second challenge; and the authenticity of the file is verified based on the response distribution. The application solves the problem that the existing consensus protocol cannot verify the authenticity of the file, and reduces the resource consumption in the protocol verification.

The application discloses a light-emitting diode-based data conversion method, system, device and medium, and the method comprises the following steps: constructing a plurality of light-emitting diode collision models and a rectangular coordinate system, and obtaining target data; making P ions and N ions in each light-emitting diode collision model collide to form a plurality of collision ions, and obtaining a first random character combination and a first coordinate point of the collision ions; linking the first coordinate points of the collision ions in the same collision model to form a link line graph on the rectangular coordinate system and obtain a plurality of coincidence points; splitting and storing the target data to the plurality of coincidence points according to a first preset order; configuring a second random character combination to each coincidence point, and splicing the random character combination corresponding to each coincidence point according to the first preset order to obtain a random string corresponding to all the coincidence points; and sending the random string to a target processor. The application can be applied to the technical field of data processing.

The present application discloses a method for comparing service parameters, device, system, and storage medium, belonging to the field of big data processing. The method includes: obtaining a first interaction string and a first result string based on a first binary string converted from a first service parameter of a first device, randomly generated first label strings, and agreed initial random strings; sending the first interaction string to a second device, so that the second device obtains a second result string based on a second binary string converted from a second service parameter of the second device, the initial random strings, part of randomly generated second label strings, and the first interaction string; and interacting with the second device based on the first result string and the second result string for fragmented computation to obtain a first comparison result.

Systems and methods for generating login passwords for personal computer applications, comprising: providing a personal computer utility; providing a Universal Serial Bus dongle for generating pseudorandom strings from characters via a pseudorandom character generator to be used as passwords; retrieving an initial index value by identifying a URL of an Internet resource that requests a password from a non-volatile index table of the personal computer utility; sending the initial index value and an initial password request from the personal computer utility to the Universal Serial Bus dongle; retrieving an initial seed value from a non-volatile seed table using the initial index value received by the personal computer utility; and generating an initial pseudorandom number password via a pseudorandom character generator using the initial seed value.

The invention belongs to the technical field of privacy protection federated learning, and particularly relates to a privacy protection and client-verifiable federated forgetting learning method, which comprises the following specific processes: a forgetting client generates a corresponding linear homomorphic hash value based on historical contributions of the forgetting client; the normal client generates a corresponding linear homomorphic hash value based on the local gradient; each client selects a random character string, generates a commitment character string as a tamper-proof record for linear homomorphic hash of the random character string and uploads the commitment character string to the server, and the server collects and broadcasts the tamper-proof record to all clients; enabling the random character string and the linear homomorphic hash value to form a solution commitment character string by each client; the server performs forgetting or aggregation operation on the encrypted information according to the state indicator, and broadcasts an operation result and the state indicator to each client; after the forgetting client receives and decrypts the operation result, each client uploads a commitment solving character string to the server, and the server collects and broadcasts the commitment solving character string to the forgetting client; and the forgetting client executes forgetting verification by using the received information.

A processing device in a memory sub-system receives a request to perform a memory access operation on a memory device, determines a memory segment identifier associated with the memory access operation, and applies a hash function to the memory segment identifier to generate a hashed seed. The processing device further provides the hashed seed to a pseudo-random number generator to generate a randomized string, and performs the memory access operation on the memory device using the randomized string.

The present disclosure relates to a computerized method and system for message encryption in a multi-user setting. The method involves receiving a message of arbitrary length for each user, storing the message in a computerized data store, and executing a setup to generate a master secret and public keys. A random variable is generated, and a function is defined based on this variable. A second secret is derived using a functional encryption scheme, resulting in a derived secret. The message is encrypted by generating a first random string, a second partially random string, and a ciphertext. The system also includes a method for decrypting the encrypted message, processing the derived secret and ciphertext to derive a string, and deriving a plaintext message from this string.

Methods for performing oblivious transfer are disclosed. These methods include a method for performing random single bit oblivious transfer (a “first method”), a method for performing random string oblivious transfer (a “second method”), and a method for performing non-random string oblivious transfer (a “third method”). In the first method, a sender computer can use a hardcore predicate function to obfuscate either a first message or a second message, generating an obfuscated message. The receiver computer can de-obfuscate this obfuscated message to randomly receive either the first message or the second message. The second method and third method can be implemented, with some modification, by repeatedly performing the first method, once for each “message bit” of the sender's messages. In the second and third methods, the receiver computer can send “indicator bits” to the sender computer, enabling the sender computer to transmit a random or non-random message strings to the receiver.

The invention discloses a Web interface security verification method and device, electronic equipment and a storage medium, and the method comprises the steps: calling verification logic in a WebAssembly file, and generating a verification parameter based on a time parameter and a random character string parameter; adding the time parameter, the random character string parameter and the verification parameter into an interface request, and sending the interface request to a server, so that the server returns response information after verifying that the verification parameter is valid, the response information comprises response data encrypted by adopting an encryption algorithm and a decryption key of the encryption algorithm; and receiving the response information, calling the decryption logic in the WebAssembly file, and obtaining the decrypted response data based on the decryption key. According to the method, the security of the data interface is effectively enhanced, and unauthorized interface requests and data leakage are prevented.

Disclosed in the present invention is an information hiding method based on backdoors in large language models. In the method, firstly, in an information hiding phase, an information sender encodes secret information to be transmitted to obtain a secret information random character string, the random character string is segmented and triggers are allocated to obtain n trigger-secret information random character string segment pairs, and said pairs are embedded into several pieces of context; secondly, a training set and a test set are constructed, and a large language model is fine-tuned and is tested by means of the test set; then, in an information extraction phase, an information receiver obtains, on the basis of the information sent by the sender in combination with the fine-tuned large language model, outputs corresponding to all the triggers, and the outputs are concatenated to obtain the secret information random character string; and finally, the secret information random character string obtained by means of concatenation is decoded to obtain the secret information transmitted by the information sender. The present invention enables the information hiding method to have both high concealment and security, and also allows the amount of information that can be transmitted at one time to no longer be limited by a carrier.

The invention provides a deleting method, system, device and medium based on USB device plug-pull records under an operating system, and belongs to the technical field of USB device plug-pull records, and the deleting method comprises the steps of registry permission privilege lifting, USB path data extraction, PID / VID rule establishment, and registry full quantum item traversal matching deletion. Exporting and replacing the system file, and after restarting, loading an old-version system file and deleting the old-version system file for the second time; identifying NK blocks based on an HIVE file format, screening target blocks which are in a deleted state and have names containing DISK / USB or matched PID / VID, and generating equal-length random character strings to cover name data; and finally, deleting the old file, associating the log and executing safe erasing of the residual space of the disk. By replacing a registry file, processing old file residues, covering multi-dimensional data and erasing a disk, the USB equipment plugging and unplugging record is thoroughly cleared, and anti-forensics recovery is effectively prevented.

A method may include: generating, by a plurality of auditor computer programs and a data curator computer program, a first random string using a first distributed randomness protocol; sending the first random string to a quantum party computer program; executing, by the quantum party computer program, a certified randomness protocol with a quantum randomness source using the first random string; receiving, from the quantum randomness source, a first quantum randomness; generating, by the auditor computer programs and the data curator computer program, a second random string using a second distributed randomness protocol; extracting, by the data curator computer program and using a randomness extractor, a second quantum randomness from the first quantum randomness using the second random string, wherein the second quantum randomness comprises a near-uniformly random string; and executing, by the data curator computer program, a differential privacy protocol using the second quantum randomness as additive noise.

The application discloses a privacy protection gene sequence alignment method and system based on a oblivious transfer protocol, and comprises the following steps: setting a shared public random string; adopting one-hot encoding to encode a first gene sequence and a second gene sequence; selecting a first random string and a second random string in valid bits in the first gene sequence base encoding to form a first random ordered pair, wherein the first random string of the valid bits satisfies the public random string, and selecting a second random ordered pair in non-valid bits, so as to obtain a base encoding ordered pair; performing an oblivious transfer protocol according to each bit in the second gene sequence base encoding and the base encoding ordered pair to obtain a matching result of each bit; and judging whether the first gene sequence and the second gene sequence are equal according to the matching result. The method can protect gene sequence information and realize efficient and safe alignment of the gene sequence.

Techniques are described herein for using machine learning to learn vector representations of DNS requests such that the resulting embeddings represent the semantics of the DNS requests as a whole. Techniques described herein perform pre-processing of tokenized DNS request strings in which hashes, which are long and relatively random strings of characters, are detected in DNS request strings and each detected hash token is replaced with a placeholder token. A vectorizing ML model is trained using the pre-processed training dataset in which hash tokens have been replaced. Embeddings for the DNS tokens are derived from an intermediate layer of the vectorizing ML model. The encoding application creates final vector representations for each DNS request string by generating a weighted summation of the embeddings of all of the tokens in the DNS request string. Because of hash replacement, the resulting DNS request embeddings reflect semantics of the hashes as a group.

The application provides a USB device plug-in record deletion method, system, device and medium based on an operating system, belongs to the technical field of USB device plug-in records, and realizes complete deletion of the USB device plug-in record through registry permission privilege escalation, USB path data extraction, PID / VID rule establishment, full registry subentry matching deletion, export and replacement of a system file, loading of an old version system file after restart for secondary deletion, NK block identification based on a HIVE file format, screening of target blocks with a deleted state and a name containing DISK / USB or matching PID / VID, generation of an equal-length random string to cover name data, and final deletion of old files, associated logs and execution of disk remaining space safe erasure. Through replacement of a registry file, processing of old file residues, multi-dimensional data covering and disk erasure, complete deletion of the USB device plug-in record is realized, and anti-forensic recovery is effectively prevented.

The invention discloses an artificial intelligence-driven dynamic reverse verification network security system and a network security method, which are used for actively detecting and relieving network threats in an enterprise network environment. The network security system integrates AI-driven behavioral analysis to monitor and model normal network activity to identify abnormal patterns that may indicate potential security vulnerabilities. The network security system executes a reverse verification algorithm to generate a unique 32-byte verification string by combining a disguised timestamp, a random hexadecimal number, and a search string dynamically derived from an ASCII random string table. This mechanism enhances security by preventing predictive and replay attacks, thereby ensuring robust verification. When abnormal activity or verification failure is detected, the network security system initiates hierarchical defense responses, including packet filtering, IP blocking, execution of custom threat neutralization scripts, and integration of the content delivery network to combat distributed denial of service attacks.

This disclosure relates to protocols and systems for generating random bit strings by amplifying weak bit strings using certified quantum random bit strings generated by measuring a quantum state of entangled photons. Some disclosed systems include a quantum apparatus comprising one or more quantum systems configured to generate entangled photons and measure their quantum state. Certain disclosed systems include one or more security tests, wherein at least one security test evaluates the quantum nature of the measurements using a Bell inequality. A randomness extractor can amplify the randomness of weak random strings using random strings certified by the security tests. The generated random bit strings may be used as cryptographic keys.

The application discloses an order message processing method and device, equipment and medium, and relates to the test field. The method comprises the following steps: determining a random date and a random string corresponding to an order message by using a preset pressure test tool; the order message is an MQ message sent by a producer in a preset message subscription tool; determining a time variable value corresponding to the order message based on the random date, and determining a random number corresponding to the order message based on the random string; storing the time variable value and the random number as variables in a message body in the order message, and sending the order message to a consumer, so that the consumer falls the order message into a target table in a target database after consuming the order message; wherein the target database is determined based on the time variable value, and the target table in the target database is determined based on the random number. The application can guarantee a high concurrency of the order message source, and can realize accurate order database falling in the subsequent.