Using a message bus controller to protect 5G core elements can include accessing, by a computing device that executes a message bus controller, a message in a message bus of a packet core of a cellular network. The message can be generated by a first network function and transmitted to a second network function via the message bus, wherein the second network function can subscribe to messages from the first network function. The computing device can determine if delivery of the message to the second network function should be restricted. If so, the computing device can drop the message, and if not, the computing device can allow a message flow associated with the message to resume.

A cyber security threat detection system for one or more endpoints within a computing environment is disclosed. The system includes one or more collector engines. Each of the collector engines includes a service and an agent operating on a corresponding system endpoint of the system endpoints. The service is configured to take a first snapshot of the corresponding system endpoint. The first snapshot includes event activity information associated with the system endpoint. The agent is configured to take a second snapshot of the corresponding system endpoint. The second snapshot includes behavioral activity information associated with the corresponding system endpoint. The system further includes an aggregator engine configured to aggregate the first snapshot and the second snapshot from each of the system endpoints into an aggregated snapshot. The system further includes one or more analytics engines configured to: generate and store baseline profiles associated with the system endpoints based on a previously received aggregated snapshot, receive the aggregated snapshot from the aggregator engine, determine deviation values for each of the system endpoints based on the received aggregated snapshot and the stored baseline profiles, and generate, for each of the system endpoints, a cumulative risk value based on the deviation values. The system further includes one or more alerting engines configured to determine whether to issue one or more alerts indicating one or more security threats have occurred for each of the endpoints in response to the cumulative risk value.

A system and method for file type identification involving extraction of a file-print of a file, the file-print being a unique or practically-unique representation of statistical characteristics associated with the distribution of bits in the binary contents of the file, similar to a fingerprint. The file-print is then passed to a machine learning algorithm that has been trained to recognize file types from their file-prints. The machine learning algorithm returns a predicted file type and, in some cases, a probability of correctness of the prediction. The file may then be encoded using an encoding algorithm chosen based on the predicted file type.

Techniques for detecting and mitigating Denial of Service (DoS) attacks in distributed networking environment are disclosed. In certain embodiments, a DoS detection and mitigation system is disclosed that automatically monitors and analyzes network traffic data in a distributed networking environment using a set of pre-defined threshold criteria. The system includes capabilities for automatically invoking various mitigation techniques that take actions on malicious traffic based on the analysis and the pre-defined threshold criteria. The system includes capabilities for automatically detecting and mitigating “outbound” DoS attacks by analyzing network traffic data originating from an entity within the network to a public network (e.g., the Internet) outside the network as well as detect and mitigate “east-west” DoS attacks by analyzing network traffic data originating from a first entity located in a first data center of the network to a second entity located in a second data center of the network.

A method for detecting a cyberattack on an electronic device is provided. The method is performed by the electronic device itself. The method includes collecting data at the electronic device. Further, the method includes classifying the collected data as regular data or malicious data using a supervised machine-learning model for the cyberattack. The method additionally includes determining whether the electronic device is under the cyberattack based on the classification of the collected data.

Aspects of the present disclosure involve systems, methods, computer program products, and the like, for an orchestrator device associated with a scrubbing environment of a telecommunications network that receives one or more announced routing protocol advertisements from a customer device under an attack. In response to receiving the announcement, the orchestrator may configure one or more scrubbing devices of the network to begin providing the scrubbing service to packets matching the received routing announcement. A scrubbing service state for the customer may also be obtained or determined by the orchestrator. With the received route announcement and the customer profile and state information, the orchestrator may provide instructions to configure the scrubbing devices of the network based on the received information to dynamically automate scrubbing techniques without the need for a network administrator to manually configure the scrubbing environment or devices.

First data indicative of information that a packet is part of a DDoS attack is received at a management network device. A DDoS remediation network device to be used for remediation of packets associated with the DDoS attack is determined from the first data. Second data, indicative of the DDoS attack and indicative of the DDoS remediation network device, is transmitted from the management network device to an edge network device. The second data is configured to cause the edge network device to route packets associated with the DDoS attack to the DDoS remediation network device.

A defense platform for protecting a cloud-hosted application against distributed denial-of-services (DDoS) attacks, wherein the defense platform is deployed out-of-path of incoming traffic of the cloud-hosted application hosted in a plurality of cloud computing platforms, comprising: a detector; a mitigator; and a controller communicatively connected to the detector and the mitigator; wherein the detector is configured to: receive telemetries related to behavior of the cloud-hosted application from sources deployed in the plurality of cloud computing platforms; and detect, based on the telemetries, a potential DDoS attack; wherein, the controller, upon detection of a potential DDoS attack, is configured to: divert traffic directed to the cloud-hosted application to the mitigator; cause the mitigator to perform at least one mitigation action to remove malicious traffic from the diverted traffic; and cause injection of clean traffic to at least one of the plurality of cloud computing platforms hosting the cloud-hosted application.

A data packet received at a service infrastructure is screened by a data packet cleaning system that successively applies each signature of a set of signatures as a mask to a predetermined area of a content of the data packet. If there is a byte-for-byte match between the predetermined area of the content and one of the signatures, an action corresponding to the matched signature is taken. The action is selected from unconditionally forwarding the data packet toward a server of the service infrastructure, unconditionally discarding the data packet, forwarding the data packet toward the server of the service infrastructure if a current flow of data packets being forwarded to the server is less than a flow threshold, and discarding the data packet if the current flow of data packets being forwarded to the server meets or exceeds the flow threshold.

A method, computer program product, and a system where a processor(s) determines that a destination has been retained as a link in an application. The processor(s) monitors connections of the application to the destination retained as the link, where connecting is providing a locator of the destination to a server(s) to obtain an address for the destination. The processor(s) determines an average time period measured from providing the locator to the server(s) to obtaining the address. The processor(s) retains the returned address for each connection within a given time period. The processor(s) determines that the application has initiated a new connection to the destination and the new connection is incomplete after a time period calculated relative to the average time period has lapsed. The processor(s) provides selectable options in a user interface of the application that are the retained address(es).