A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is big data driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.

Defending a distributed denial of service attack includes intercepting a service packet sent by the client to a server, according to a rule agreed with the client, obtaining the information carried by a first preset field of the service packet, the inherent information carried by an inherent field of the service packet, and the added information carried by at least one second preset field, according to the hash algorithm agreed with the client, performing a hash processing on the inherent information and at least one added information so as to obtain a hash result, and determining the service packet is discarded when the hash result is different from the information carried by the first preset field.

A method according to one embodiment includes communicating a wireless advertisement that identifies a clock status of a real-time clock of the access control device, wherein the clock status includes a clock status value indicating that the real-time clock has not been set, establishing a wireless communication connection with a computing device in response to the wireless advertisement, transmitting a session random value to the computing device, receiving a clock update token from the computing device, wherein the clock update token is indicative of an authority of the computing device to update the real-time clock of the access control device, authenticating the clock update token based on at least the session random value, and updating the real-time clock based on a received update time in response to successful authentication of the clock update token.

An apparatus, system, and method are disclosed for secure data transmissions. A method includes receiving a request for data that is encrypted according to a first encryption scheme, and determining a first public IP address associated with the request. The first public IP address identifies a remote client that created the request and is located in a field of a data packet that includes the request. The method includes determining a second public IP address associated with the request that identifies a sender of the request and is determined dynamically when the request is received. The method includes verifying an authenticity of the request in response to the first public IP address of the remote client matching the second public IP address of the sender. The method includes encrypting the requested data according to a second encryption scheme, and transferring the data to the remote client.

Embodiments describing an approach to receiving user data, and monitoring a user data transaction. Monitoring a user data transaction. Identifying a plurality of attribute elements associated with the user data and the user data transaction. Creating benchmark data based on one or more identified attributes and user data gathered from a user data transaction, and storing, by the one or more processors, benchmark data.

Systems and methods for preventing fraud are disclosed. The system includes, for example, a front end device that is operatively coupled to a back end device. The front end device is configured to generate a first dynamic device identification based on dynamic device characteristics of the front end device. The back end device is configured to generate a second dynamic device identification based on the dynamic device characteristics of the front end device to authenticate the front end device. The front end device can also authenticate itself through an Internet of Things (IoT) device that has a trusted connection to the back end device.

An attack detection device includes: a receiver configured to receive messages that are periodically transmitted from a communication device in a network; and a processor. The processor predicts a number of messages to be received by the receiver in a specified monitor range based on a transmission cycle of the messages so as to generate a predicted value. The processor counts a number of messages received by the receiver in the specified monitor range so as to generate a count value. The processor detects an attack in the network according to a result of a comparison between the predicted value and the count value.

A security application for a computing device, e.g., a mobile phone, allows generation of a secret according to a unique user input (e.g., user credentials). The secret is stored in a directory such that it is retrievable when the unique user input is received via a user interface of a device on which the security application executes or is coupled with. Responsive to receiving an identifier associated with the secret, the security application prompts, e.g., via a user interface of the mobile phone, entry of the unique user input; and, subsequently, verifies the unique user input. Following such verification, the security application provides the secret for use in encoding a communication with a remote computer-based station. Entry of the user credentials may be required prior to the security application generating the secret, and may be responsive to receipt of an invitation (e.g., from the remote computer-based station) to generate it.

The present application relates to the handling of what are generally referred to as denial of service (DoS) attacks. More specifically, the present application relates to a method and system for protecting one or more on-line Web service application servers from DoS and/or distributed DoS (DDoS) attacks.

A method for data processing comprises: S100. if a to-be-sent email needs to be saved cryptographically or sent cryptographically, automatically converting a main body of the mail into an html file, the html file including an attachment link for linking a mail attachment; S200. compressing a filename of the html file and a filename of the mail attachment into a new html filename and a new mail attachment name using a first open source algorithm based on a first password preset between a sender and a recipient, thereby obtaining a renamed html file and a renamed mail attachment; S300. compressing the renamed html and the renamed mail attachment using a second open source algorithm based on a second password preset between the sender and the recipient, thereby obtaining a compressed file; and S400. releasing a memory space and/or a hard disk space occupied by the to-be-sent mail, encrypting the to-be-sent mail and then saving it to a draft box or sending it in a manner in which a mail has a null mail body and the compressed file is used as the mail attachment. In this way, a method and a system for data processing are implemented, which utilize open source algorithms and have a wider applicability.