System, method, and device of detecting identity of a user and authenticating a user; as well as detecting a possible attacker or impostor, and differentiating among users of an electronic device or of a computerized service. A mobile or portable electronic device is utilized to capture a self-taken image or video of a user, which is utilized as a user-authentication factor. The accelerometer and gyroscope or device-orientation sensor of the mobile device, sense and measure spatial and physical device properties during, before or after the submission of the self-taken image or video. Based on such spatial and physical device properties, in combination with computer-vision analysis of the content shown in the self-taken image or video, the system determines liveness of the user and freshness of the submitted self-taken image or video, and differentiates between a legitimate user and an attacker.

Disclosed are systems and methods that require/force bots to access and interact with webpages at a similar level to humans, by including an executable script that generates/updates a test value for a webpage. The client devices must perform certain processing and/or rendering of the webpage to call the computations necessary for generating the updated test value. The script must be executed as a function of processing and/or rendering the webpage. The script may be retrieved from the webserver as a function of processing and/or rendering the webpage. When the browser executes this script, the browser generates the updated test value. At some point, the client device submits a request for certain process with the updated test value. The server compares the inbound test value from the client device against an initial/previously received test value or an expected test value to determine whether the browser is being operated by a human.

The system and method disclosed performs entity authentication through identification proofing. A relying party such as a corporation or other type of entity having a secure website, computer network and secure facility working a risk engine can determine the authenticity, validation and verification during registration of a user entity. The identification proofing is integrated with a risk engine. The risk engine is capable of using bio-behavior based information which may be continuously monitored.

Techniques are provided for determining environment parameter values based on rendered emoji analysis, A server computer provides a first set of code that, when executed by a browser application at a client computing device, renders a set of emoji at the client computing device, generates a set of rendered graphic data for the set of emoji at the client computing device, and transmits the set of rendered graphic data for each emoji of the set of emoji from the client computing device to the server computer. The server computer receives the rendered graphic data generated at the client computing device, Based on the set of rendered graphic data for the set of emoji generated at the client computing device, the server computer determines a set values for one or more environment parameters of the client computing device.

Detecting, mitigating and isolating a Signaling Storm, particularly in 5G communication networks. A Control Plane signal probe is connected at a first network node located between a Radio Access Network and a 5G Core Network, to monitor control messages originating from 5G-capable devices. A User Plane signal probe is connected at a second network node located between the 5G Core Network and remote entities to which the 5G-capable devices are sending messages, to monitor control messages passing through the second network node. An Inventory Management sub-system stores data correlating between 5G-capable devices and IMSI numbers. A Protector Unit is configured to receive (i) data collected by the Control Plane signal probe, and (ii) data collected by the User Plane signal probe, and (iii) a subset of IMSI numbers. The Protector Unit performs Machine Learning analysis, and detects and quarantines particular 5G-capable devices that are compromised or malfunctioning.

This specification generally relates to methods and systems for applying network policies to devices based on their current access network. One example method includes identifying a proxy connection request sent from a particular client device to a proxy server over a network, the proxy connection request including a hostname and configured to direct the proxy server to establish communication with the computer identified by the hostname on behalf of the client device; determining an identity of the client device based on the proxy connection request; identifying a domain name system (DNS) response to a DNS request including the hostname from the proxy connection request; and updating DNS usage information for the particular client based on the identified DNS response including the hostname from the proxy connection request.

In systems and methods for multiple level bot detection in e-commerce platforms during flash sale events conducted by merchants having accounts with e-commerce platform, a computer applies a first bot detection algorithm to web traffic of a webpage hosting the online store that is conducting the online sales event. The computer determines whether an actor device is executing a bot to make purchases based on a first bot detection algorithm. When the computer identifies a type of triggering instruction, such as a predetermined time period, a user instruction, or a data condition, the computer then applies a second bot detection algorithm to the web traffic. The bot detection algorithms determine signal scores for the customer devices that originated the web traffic. If the signal scores for a customer device satisfy a detection threshold, the server determines the device is operated by a bot actor, rather than a human actor.

Methods, systems, and media for dynamically separating Internet of Things (IoT) devices in a network are provided. In accordance with some embodiments of the disclosed subject matter, a method for dynamically separating IoT devices in a network is provided, the method comprising: detecting a first IoT device in the network; monitoring network communication of the first IoT device; determining device information of the first IoT device based on the monitored network communication; and causing the first IoT device to communicate on a first subnet of a plurality of subnets in the network based on the device information.

The present invention relates to a method and an apparatus for detecting anomalies of a DNS traffic in a network comprising analysing, through a network analyser connected to said network, each data packets exchanged in the network, isolating, through the network analyser, from each of the analysed data packets the related DNS packet, evaluating, through a computerized data processing unit, each of the DNS packets generating a DNS packet status, signaling, through the computerized data processing unit, an anomaly of the DNS traffic when the DNS packet status defines a critical state, wherein the evaluating further comprises assessing, through the computerized data processing unit, each of the DNS packet by a plurality of evaluating algorithms generating a DNS packet classification for each of the evaluating algorithms, aggregating, through the computerized data processing unit, the DNS packet classifications generating the DNS packet status, and wherein the critical state is identified when the DNS packet status is comprised in a critical state database stored in a storage medium.

Integrated techniques for computer bot detection and human user based access include determining if a client device has been identified as a computer bot based upon client information extracted from a service request and a service policy. The service policy is also utilized to determine if the client device is operating under control of a human user or operating autonomously based upon matching a captcha response to an expected captcha response.