At&t Intellectual Property I, L.p.

Simplisafe, Inc.

Dylan C Reid

Joseph Soryal

Naila Jaoude

Aspects of the subject disclosure may include, for example, a device, including a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of authenticating an identity of a user of user equipment that controls a virtual entity in a virtual environment; receiving a data feed providing images from the virtual environment; correlating signals from the user equipment with actions of the virtual entity observed in the images; and issuing a warning responsive to the user being unidentified or the signals being uncorrelated with the actions. Other embodiments are disclosed.

System and method for verifying presence in virtual environments

Concepts and technologies disclosed herein are directed to image classification attack mitigation. According to one aspect of the concepts and technologies disclosed herein, a system can obtain an original image and reduce a resolution of the original image to create a reduced resolution image. The system can classify the reduced resolution image and output a first classification. The system also can classify the original image via deep learning image classification and output a second classification. The system can compare the first classification and the second classification. In response to determining that the first classification and the second classification match, the system can output the second classification of the original image. In response to determining that the first classification and the second classification do not match, the system can output the first classification of the original image.

Audio attack mitigation system with alarm indication

A system includes an orchestrator for a software-defined network and configured to receive a request for operation of the software-defined network, a software-defined network controller in communication with the orchestrator through a northbound application programming interface, at least one network element in communication with the software defined network controller though a southbound application programming interface, and a mutable network element configured to receive the request and instantiate a virtual function within the mutable network element to test the at least one network element in accordance with the request.

System and method for SDN orchestration validation

Aspects of the subject disclosure may include, for example, receiving, at a device, a message over a communication network from a remote source, determining if the message includes executable code and initiating a virtual machine in an isolated portion of the memory of the device responsive to the determining the message include executable code. Aspects of the subject disclosure further include executing, by the virtual machine, the executable code within the isolated portion of the memory, monitoring, by an artificial intelligence module, activities of the executable code during the executing the executable code and determining if the executable code comprises malicious code responsive to the monitoring activities of the executable code. Aspects of the disclosure further include deleting the executable code from the device in response to a determination that the executable code comprises malicious code. Other embodiments are disclosed.

Method and system for detection of phishing emails and suspect malicious executable hyperlinks

The described technology is generally directed towards coordinated cellular network attack detection and mitigation. A security function deployed at a network node can monitor network traffic conditions for anomalous behavior indicative of a coordinated attack. In response to detecting the anomalous behavior, the security function can respond with any of several different attack mitigation procedures, in order to protect the network from the coordinated attack. Furthermore, the security function can collect data from connected devices, and use the data to identify malicious code. The security function can then send data and instructions to the connected devices to enable the connected devices to isolate or remove the malicious code.

Coordinated cellular network attack detection and mitigation

Example methods and systems are disclosed to provide autonomous vehicle sensor security. An example method may include generating, by a first autonomous vehicle, a first map instance of a physical environment using first environmental information generated by a first sensor of a first autonomous vehicle. A second map instance from at least one of a second autonomous vehicle located in the physical environment is received. The first map instance may be correlated with the second map instance. In response to a discrepancy between the first map instance and the second map instance, a secure sensor may be activated to generate a third map instance. In response to the third map instance verifying that the discrepancy accurately describes the physical environment, the first environmental information including the discrepancy is used to navigate the first autonomous vehicle.

Autonomous vehicle sensor security system

A processing system of a device having at least one processor may determine that a temperature of the device exceeds a threshold temperature and obtain, in response to the determining, utilization information of the device comprising: processor utilization information, memory utilization information, and network utilization information. The processing system may then detect, from the utilization information of the device, a pattern comprising: a first network utilization burst, a processor utilization exceeding a processor utilization threshold and a memory utilization exceeding a memory utilization threshold over at least a designated period of time following the first network utilization burst, and a second network utilization burst after at least the designated period of time. When the pattern is detected, the processing system may generate an unauthorized cryptomining alert.

Detection of unauthorized cryptomining

Augmented reality security is enabled, e.g., to prevent transmission of maliciously manipulated augmented reality data. For instance, a device can comprise a processor, and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising: based on a defined tampering criterion, determining whether a virtual frame, of a group of virtual frames received via a communication link established between the device and augmented reality equipment, has been modified without authorization, and in response to the virtual frame being determined to have been modified, causing the augmented reality equipment to stop displaying the group of virtual frames.

Augmented reality security

Network security is applied to identify malicious activity occurring on a network or at network nodes from a coordinated attack. For instance, a device, comprising a memory and a processor, can generate a first flag signal representative of a first flag applicable to first data and a second flag signal representative of a second flag applicable to second data in response to the first and second data being determined to be related and directed to a common destination node using identifiers associated with network equipment.

Massive vulnerable surface protection

Image classification attack mitigation

Aspects of the subject disclosure may include, for example, a device in which a processing system receives an electromagnetic signal including a plurality of packets, stores a copy of the packets in a memory, converts the signal to an optical signal, and splits the optical signal into first and second optical signals each including the packets. A first converter and second converter then convert the optical signals to electromagnetic signals. A timing coordinator sends a timing signal to the memory and to the first and second converters, resulting in simultaneous release of a copied packet from the memory and first and second packets from the first and second converters. The system compares the copied packet with the first and second packets; if those packets are identical to the copied packet, the system outputs the first and second packets in outgoing signals. Other embodiments are disclosed.

Tamper-sensitive splitter for monitoring network traffic

Improved optical network security (e.g., using a computerized tool) is enabled. Various embodiments herein can send (e.g., via a network) to a group of network devices comprising a first network device and a second network device, a first encrypted data stream, a second encrypted data stream, a first hash code, and a second hash code, wherein the first network device deletes the second encrypted data stream after the first network device hashes the second encrypted data stream, and in response to the second network device being determined not to have received the second hash code within a defined threshold time, determine that the first network device is unauthorized to use the network.

Growing community of inventors

Atlanta, GA, United States of America

Dylan C Reid