Abstract: A system and method for monitoring calls or other communications between two parties by a monitoring service. The system may be configured to determine whether the caller is a known or unknown caller. In the event that the system determines that the caller is an unknown caller (i.e., not in either of a “good” caller or “bad” caller database), then the system may process dialog between the two parties to determine whether a potential fraud is being committed. The processing may be performed using artificial intelligence (AI) in real-time. In response to determining that a potential fraud is being committed, the call may be interdicted by automatically adding a third party, such as a security agent, to the call. The system may be configured to selectively play a pre-call message to a non-subscriber of the monitoring service to notify the non-subscriber that the call is being monitored.

Abstract: The disclosed embodiments include a software-defined security (SDS) service that can monitor runtime behavior of a network of nodes of a wireless network and detect anomalous activity indicating contamination of the network of nodes, where the contamination includes unauthorized instructions designed to damage or interrupt a function of the network of nodes. The SDS service can dynamically coordinate a blacklist and a whitelist, where the blacklist includes an indication of contaminated assets and the whitelist includes an indication of non-contaminated assets. The contaminated assets are isolated with a cleanroom environment, where the security resources sanitize the contaminated assets. Then, indications of the decontaminated assets are moved from the blacklist to the whitelist, and the use of the security resources are dynamically adjusted according to a load ratio between the whitelist and the blacklist.

Abstract: The disclosed embodiments include a method performed by a wireless network to dynamically provision security resources during runtime execution of a service environment. The security resources are distributed across cell sites that provide coverage areas for multiple wireless devices (WDs) in multiple service environments. The cell sites are monitored during runtime execution of the multiple service environments to detect risk levels that indicate a vulnerability to the wireless network. When an elevated risk level is detected for a particular cell site, security resources of the security layer are dynamically provisioned for the particular cell site to safeguard the entire wireless network. Hence, the provisioned security resources can include a security resource from a different cell site.

Abstract: The disclosed embodiments include a software-defined security (SDS) service that can monitor runtime behavior of a network of nodes of a wireless network and detect anomalous activity indicating contamination of the network of nodes, where the contamination includes unauthorized instructions designed to damage or interrupt a function of the network of nodes. The SDS service can dynamically coordinate a blacklist and a whitelist, where the blacklist includes an indication of contaminated assets and the whitelist includes an indication of non-contaminated assets. The contaminated assets are isolated with a cleanroom environment, where the security resources sanitize the contaminated assets. Then, indications of the decontaminated assets are moved from the blacklist to the whitelist, and the use of the security resources are dynamically adjusted according to a load ratio between the whitelist and the blacklist.

Abstract: The technology described herein documents interactions in a cloud computing environment. The system creates a first partition within the cloud computing environment for a first entity and a second partition within the cloud computing environment for a second entity. A blockchain ledger can be created for a set of interactions between the first entity and the second entity, where the blockchain ledger is disengaged when the first entity and the second entity are not interacting.

Abstract: The disclosed technology includes a method and system for preventing or reducing cyber-attacks in telecommunications networks, such as 5G networks. For example, a first node in a 5G network can detect that a first connected device is at risk of a cyber-attack based on one or more conditions and can broadcast to a plurality of nodes in the RAN that the first connected device is at risk of the cyber-attack. The first node can receive a first message from a second node of the plurality of nodes confirming or acknowledging that the first connected device is at risk of the cyber-attack. In response to receiving the first message from the second node confirming or acknowledging that the first connected device is at risk of the cyber-attack, the system can deauthorize the first connected device.

Abstract: The disclosed technology includes a method and system for preventing or reducing cyber-attacks in telecommunications networks, such as 5G networks. For example, a first node in a 5G network can detect that a first connected device is at risk of a cyber-attack based on one or more conditions and can broadcast to a plurality of nodes in the RAN that the first connected device is at risk of the cyber-attack. The first node can receive a first message from a second node of the plurality of nodes confirming or acknowledging that the first connected device is at risk of the cyber-attack. In response to receiving the first message from the second node confirming or acknowledging that the first connected device is at risk of the cyber-attack, the system can deauthorize the first connected device.

Abstract: The technology described herein allocates resources in a cloud computing environment using a 5G network. The system can connect a device to the 5G network and collect data related to the device such as a location of the device and characteristics of use of the device with the 5G network. The system can create a device service profile of the device based at least in part on the data related to the device. The system can then dynamically partition computing resources within the cloud computing environment for the device based on the device service profile and a time-of-day in the location of the device to thereby provide on-demand access to content or services in the cloud computing environment to the device over the 5G network.

Abstract: The disclosed technology includes a method and system for preventing or reducing cyber-attacks in telecommunications networks, such as 5G networks. For example, a first node in a 5G network can detect that a first connected device is at risk of a cyber-attack based on one or more conditions and can broadcast to a plurality of nodes in the RAN that the first connected device is at risk of the cyber-attack. The first node can receive a first message from a second node of the plurality of nodes confirming or acknowledging that the first connected device is at risk of the cyber-attack. In response to receiving the first message from the second node confirming or acknowledging that the first connected device is at risk of the cyber-attack, the system can deauthorize the first connected device.

Abstract: The technology described herein allocates resources in a cloud computing environment using a 5G network. The system can connect a device to the 5G network and collect data related to the device such as a location of the device and characteristics of use of the device with the 5G network. The system can create a device service profile of the device based at least in part on the data related to the device. The system can then dynamically partition computing resources within the cloud computing environment for the device based on the device service profile and a time-of-day in the location of the device to thereby provide on-demand access to content or services in the cloud computing environment to the device over the 5G network.

Abstract: The disclosed embodiments include a method performed by a network access node to thwart unauthorized activity on a network such as a 5G wireless network. For example, the method can include employing contextual information to determine risk to the 5G wireless network. A network access node can detect that a wireless device seeks to perform unauthorized activity, and then implements security measures such that the unauthorized activity is thwarted at the network access node.

Abstract: The technology described herein documents interactions in a cloud computing environment. The system creates a first partition within the cloud computing environment for a first entity and a second partition within the cloud computing environment for a second entity. A blockchain ledger can be created for a set of interactions between the first entity and the second entity, where the blockchain ledger is disengaged when the first entity and the second entity are not interacting.

Abstract: The disclosed embodiments include a method performed by a wireless network to mitigate a security risk arising from an application-layer transaction and contextual scenario of a wireless device (WD). A security resource can be maintained inactive by default and configured for on-demand activation in response to a security risk associated with the WD. The method can include monitoring the WD for application-layer transactions and contextual scenarios, and detecting a security risk relative to a particular type of a application-layer transaction and a contextual scenario of the WD. In response to detecting the security risk, the security resource is activated to support the application-layer transaction while safeguarding the entire wireless network. In response to detecting a change to the application-layer transaction or the particular contextual scenario, the security resource for the WD can be deactivated.

Abstract: The technology described herein documents and verifies interactions in a cloud computing environment. The system creates a first partition within the cloud computing environment for a first entity and a second partition within the cloud computing environment for a second entity. A blockchain ledger can be created for a set of interactions between the first entity and the second entity, where the blockchain ledger is disengaged when the first entity and the second entity are not interacting. The system can receive a request from the first entity for an interaction with the second entity and can activate the blockchain ledger. In response to receiving consensus from a blockchain community within the cloud computing environment, the system can allow the interaction, where the interaction is appended to the blockchain ledger.

Abstract: The disclosed technology includes a method and system for preventing or reducing cyber-attacks in a 5G network. The system can register, by a computing device associated with the 5G network, a connected device with the 5G network and request a personalized signature from the connected device. The system can create a schedule for the personalized signature to be sent from the connected device to the 5G network and send the connected device the schedule. The 5G network can monitor for the personalized signature at the times in the schedule. In response to not receiving the personalized signature from the connected device at a scheduled time in the schedule, the system can determine that the connected device is at risk of a cyber-attack. In response to determining that the connected device is at risk of the cyber-attack, the system can deauthorize the connected device.

Abstract: The disclosed technology includes a method and system for preventing or reducing cyber-attacks in a 5G network. The system can register, by a computing device associated with the 5G network, a connected device with the 5G network and request a personalized signature from the connected device. The system can create a schedule for the personalized signature to be sent from the connected device to the 5G network and send the connected device the schedule. The 5G network can monitor for the personalized signature at the times in the schedule. In response to not receiving the personalized signature from the connected device at a scheduled time in the schedule, the system can determine that the connected device is at risk of a cyber-attack. In response to determining that the connected device is at risk of the cyber-attack, the system can deauthorize the connected device.

Abstract: The disclosed technology includes a method and system for preventing or reducing cyber-attacks in telecommunications networks, such as 5G networks. For example, a first node in a 5G network can detect that a first connected device is at risk of a cyber-attack based on one or more conditions and can broadcast to a plurality of nodes in the RAN that the first connected device is at risk of the cyber-attack. The first node can receive a first message from a second node of the plurality of nodes confirming or acknowledging that the first connected device is at risk of the cyber-attack. In response to receiving the first message from the second node confirming or acknowledging that the first connected device is at risk of the cyber-attack, the system can deauthorize the first connected device.

Abstract: The technology described herein allocates resources in a cloud computing environment using a 5G network. The system can connect a device to the 5G network and collect data related to the device such as a location of the device and characteristics of use of the device with the 5G network. The system can create a device service profile of the device based at least in part on the data related to the device. The system can then dynamically partition computing resources within the cloud computing environment for the device based on the device service profile and a time-of-day in the location of the device to thereby provide on-demand access to content or services in the cloud computing environment to the device over the 5G network.

Abstract: The disclosed embodiments include a method performed by a network access node to thwart unauthorized activity on a network such as a 5G wireless network. For example, the method can include employing contextual information to determine risk to the 5G wireless network. A network access node can detect that a wireless device seeks to perform unauthorized activity, and then implements security measures such that the unauthorized activity is thwarted at the network access node.

Abstract: The technology described herein documents and verifies interactions in a cloud computing environment. The system creates a first partition within the cloud computing environment for a first entity and a second partition within the cloud computing environment for a second entity. A blockchain ledger can be created for a set of interactions between the first entity and the second entity, where the blockchain ledger is disengaged when the first entity and the second entity are not interacting. The system can receive a request from the first entity for an interaction with the second entity and can activate the blockchain ledger. In response to receiving consensus from a blockchain community within the cloud computing environment, the system can allow the interaction, where the interaction is appended to the blockchain ledger.