A disclosed method an analysis computer determining a rolling window associated with interaction data for interactions that occur over time. The analysis computer can retrieve interaction data for interactions occurring in the rolling window. The analysis computer can then generate pseudo interaction data based upon historical interaction data. The analysis computer can optionally embed the interaction data for the interactions occurring within the rolling window and the pseudo interaction data to form interaction data matrices. The analysis computer can then form a neural network model using the interaction data matrices, which is derived from the interaction data in the rolling window and the pseudo interaction data.

A cloud-based system for securely storing data, the system having a processor which obtains a source data file; splits it into at least three fragments; and uses an encryption key associated with the fragments to encrypt the fragments and distributes the encrypted fragments among at least three cloud storage providers, creates a pointer file containing information for retrieving the encrypted fragments. When a system user requests access to the data, the system uses the information stored in the pointer file to retrieve the stored encrypted fragments from the plurality of clouds; decrypts the fragments and reconstructs the data, and provides data access to the system user.

A method for overcoming intermittent, temporary, or other fetching failures by using multiple attempts for retrieving a content from a web server to a client device is disclosed. The URL fetching may use direct or non-direct fetching schemes, or a combination thereof. The non-direct fetching method may use intermediate devices, such as proxy server, Data-Center proxy server, tunnel devices, or any combination thereof. Upon sensing a failure of a fetching action, the action is repeated using the same or different parameters or attributes, such as by using different intermediate devices, selected based on different parameters or attributes, such as different countries. The repetitions are limited to a pre-defined maximum number or attempts. The fetching attempts may be performed by the client device, by an intermediate device in a non-direct fetching scheme, or a combination thereof. Various fetching schemes may be used sequentially until the content is retrieved.

The present invention relates to a method and system for managing an impersonated or forged/tampered email. To this end, the present invention provides a method and a system for managing an impersonated or forged/tampered email, the method comprising: a step in which, when an email is received at an email account of a recipient email server through a network, a system for managing an impersonated or forged/tampered email, positioned between the network and the recipient email server, generates verification request information including details of the received email and a sender email address and transmits same to the sender email address of the received email; a step in which, when the verification request information is provided, a sender email server of the sender email address checks if the sender email address included in the verification request information is valid, and returns an error code to the system for managing the impersonated or forged/tampered email when the sender mail address is not valid; and a step in which, when the error code is returned, system for managing the impersonated or forged/tampered email blocks the received email.

Disclosed is an approach that applies a fuzzy logic model that may involve fuzzy-matching a plurality of address fields to determine a common physical address, and determining a number of communiques directed to that address with reference to a threshold that may determine an excessive number of communiques. The plurality of address fields may also be fuzzy-matched to information in a fraud-risk database which may comprise a fraud-risk address. One or more matches may be presented to a user who may adjust the views of the various matches, track various trends within the data, and harmonize the various address fields relating to a physical address.

A method for preventing a replay attack on a Segment Routing over Internet Protocol version 6 (SRv6) keyed hashed message authentication code (HMAC) verification. The method includes a network device receiving an SRv6 packet comprising anti-replay attack verification information. The network device performs anti-replay attack verification based on the anti-replay attack verification information. The network device performs HMAC hash computation on the SRv6 packet in response to the first SRv6 packet passing passes the anti-replay attack verification.

A network node of a mobile communications network may need to generate at least one new Input Offset Value, IOV value, for use in protecting communications between the network node and a mobile station. The network node then associates a fresh counter value with the or each new IOV value; calculates a Message Authentication Code based on at least the at least one new IOV value, the fresh counter value associated with the or each new IOV value, and a constant indicating that the Message Authentication Code is calculated to protect the new IOV value; and transmits the at least one new IOV value, the fresh counter value associated with the or each new IOV value, and the calculated Message Authentication Code to the mobile station.

A fraud monitor in a managed network is provided. The fraud monitor uses the network's instrumentation data, configuration data, and account information to detect fraudulent activities in the network, such as fraudulent advertisement or other types of fraudulent data traffic, including fraudulent responses (e.g., fraudulent clicks) to advertisement. The fraud monitor receives configuration data and identification data for physical resources of the network. The fraud monitor receives instrumentation data of packet traffic in the network. The fraud monitor receives account information for users of the network. The fraud monitor analyzes the instrumentation data to detect a violation of a fraud detection policy that prevents malicious or fraudulent online advertisement activity based on the configuration data, identification data, or account information.

Techniques and screening messages based on tags in an automotive environment, such as, messages communicated via a communication bus, like the CAN bus. Messages can be tagged with either a binary or probabilistic tag indicating whether the message is fraudulent. ECUs coupled to the CAN bus can receive the messages and the message tags and can determine whether to fully consume the message based on the tag.

An electronic device and a control method thereof are provided. The electronic device includes an Internet protocol (IP) address corresponding to a domain name of a web page when a user command inputting the domain name is received, identifies a number of hops included in a network path connecting a server corresponding to the obtained IP address and the electronic device to each other, and determines that a man-in-the-middle attack exists in a network when a communication connection with the server is established on the basis of a smaller number of hops than the identified number of hops.