The present disclosure describes a method, system, and non-transitory computer readable medium that includes instructions that permit users of different secure communication networks to exchange secure communications. A secure communication platform includes a user database that allows users from different secure communication networks to access keys for recipients outside of their network. Additionally, the secure communication platform provides a high degree of trust regarding the sender's identity, allowing the receiving network to trust the sender.

Systems and methods provide an entity identifier (EID) for use in distributed systems, where the entity identifier includes inherent privacy features and where an estimate of the distinct count of the entity identifiers in a distributed system can be determined. A unique identifier (e.g., a GUID) for an entity is received. A hash value can be generated for the unique identifier using a hash function that is not guaranteed to generate unique values. An EID is created using a portion of the bits of the hash value and stored in a database. An estimated distinct count of entities based on a count of EIDs in the database can be determined based on the count of EIDs in the database and the size of the EID space.

A threat detection system for a mobile communication system, and a global device and a local device thereof are provided. The threat detection system is used for detecting and defensing low and slow distributed denial-of-service (LSDDoS) attacks. The global device is located in a core network of the mobile communication system, and is used for training a tensor neural network (TNN) model to build a threat classifier. The threat classifier is used for the local device to identify a plurality of threat types. The local device inputs the to-be-identified data into the threat classifier to generate a classification result corresponding to one of the threat types.

A method applied to a mining machine for limiting computing power includes utilizing a dictionary library and a timestamp to control Nonce combination that can be tried per unit time. If all strings in the dictionary library have been tried, as long as a time difference between time of generating most recent timestamp and the current time is less than a preset threshold, the mining machine must wait in sleep state and cannot resume mining until the time difference exceeds the preset threshold. The present disclosure can avoid a situation that the calculation power of the mining machine is too strong and causes a monopoly of the calculation power.

An authentication correlation (AC) computing device is provided. The AC computing device includes a processor and a memory. The AC computing device receives a first authentication request from a requesting computer device including an account identifier, a first timestamp, and at least one authentication factor, and determines a first security level of the first authentication request. The AC computing device stores the first security level and the first timestamp. The AC computing device is also configured to receive a second authentication request including the account identifier and a second timestamp, determine that the second authentication satisfies an authentication rule based on the account identifier, the second timestamp, and the stored authentication data wherein the rule defines a timeframe and an authentication threshold, and generate an authentication response based on the determination and the authentication rule wherein the authentication response includes an approval indicator.

Systems and techniques for providing login from an alternate electronic device are presented. A system can receive hash data associated with first fingerprint data and a timestamp from a first electronic device in response to a determination that the first electronic device satisfies a defined criterion associated with a terminal computing request. The system can also form a correlation between the first electronic device and a second electronic device within a geographic area associated with the first electronic device based on the timestamp, first location data associated with the first electronic device, and second location data associated with the second electronic device. Furthermore, the system can initiate display of a graphical user interface on the second electronic device in response to a determination that second fingerprint data provided to the second electronic device within a timeframe associated with the timestamp matches the first fingerprint data associated with the hash data.

Systems and methods of managing fraudulent devices are provided. The system detects a request for a connection to communicatively couple a technician computing device with a receiver computing device. The system identifies connection data for the connection. The system requests, based on the connection data, a plurality of account values. Each of the plurality of account values is associated with an account that the technician computing device used to establish the connection. The system generates a score indicating a fraudulent level of the account based on the plurality of account values. The system terminates, responsive to a comparison of the score with a fraud threshold, the connection. The system transmits, to a ticketing system, a support ticket generated responsive to the comparison of the score with the fraud threshold.

In one aspect, a first device may include at least one processor and storage accessible to the at least one processor. The storage may include instructions executable by the at least one processor to receive, from a second device, a partial hash of a domain name. The instructions may also be executable to use the partial hash and a probabilistic data structure to identify an Internet protocol (IP) address associated with the domain name. Responsive to identifying the IP address, the instructions may be executable to transmit the IP address to the second device.

A time-dependent blockchain based self-verification user authentication method of the present disclosure includes, a reservation registration step for registering reservation time which is obtained by adding a set time to an input time, and an authentication subject to a blockchain which is distributed and stored in a plurality of nodes; a reservation notification step for notifying a notification group, which is associated with the authentication subject, of a reservation registered in the reservation registration step; a verification step for verifying authentication request time and the reservation time, which has been registered to the blockchain, when there is an authentication request with respect to the authentication subject; and a step for granting authentication when the authentication request time is within a valid range of the reservation time in the verification step.

A computer-implemented method and a system provide a complete traceability of changes incurred in a security policy corresponding to a resource. A policy tracing engine (PTE) monitors and determines events of interest occurring at the resource. The PTE determines administrator-initiated intent-based changes and dynamic event-based changes incurred in the security policy and assigns a unique policy identifier (UPI) to the security policy. The UPI is a combination of unique identifiers assigned to the intent-based change and the event-based change. The PTE recomputes and stores the security policy and the UP in a policy database. The PTE receives network access information including the UPI from the corresponding resource deployed with the security policy. The PTE generates a traceability report that provides a complete traceability of each policy action performed in a networked environment to a source of each change incurred in the security policy as identified by the UPI.