Abstract: The present invention refers to removal of redundant information from plenoptic point cloud data, reducing the number of bits needed to represent them and thus making the plenoptic point cloud data more suitable to be transferred through a medium of limited bandwidth. The proposed solution is based on predictive differential coding, using the standard color channel of a point clouds as a reference for plenoptic data, and on the application of transforms for greater data compression.

Abstract: The present disclosure is related to the network communication technology field and relates to a method for the classification and recognition of the Domain Name System (DNS) server, using machine-learning techniques. The classification process assigns a given DNS server as belonging to a preset of classes. For example, it enables to label a DNS server as either benign or malicious. On the other hand, the recognition process seeks the identification of the DNS server behavioral profile, which, consequently, can be used to assess the DNS server trustworthiness before DNS responses can be reliably used, e.g. identification of well-known and trusted DNS servers. Hence, the present patent, by the means of detecting the DNS server RFC adherence improves user security through the classification and recognition of DNS characteristics. Therefore, security solutions can use the DNS server characteristics to assess its trustworthiness before DNS responses can be reliably used.

Abstract: The present disclosure relates to a technique based on Machine-learning to fingerprint and classify Access Points (AP), using HyperText Transfer Protocol (HTTP) information. Fingerprint and classify Access Points are useful to detect if the AP is benign or malicious, to assess the potential trustworthiness of an AP to the user, to detect AP type, to detect AP infrastructure, to infer an AP web-service software type and version, to detect if AP is software-based or hardware-based, to detect AP running services, to detect AP network configuration, to detect specific malicious tools that are used by attackers to emulate an AP, to detect Fake AP attack, Phishing attacks, Evil Twin Attacks, and any other threats that modify or implement an AP HTTP server or webpage. The proposed technique makes advantage of the captive portal detection packet exchange between a station and an Access Point to passively classify the AP.

Abstract: The present disclosure is related to the network communication technology field and relates to a method for the classification and recognition of the Domain Name System (DNS) server, using machine-learning techniques. The classification process assigns a given DNS server as belonging to a preset of classes. For example, it enables to label a DNS server as either benign or malicious. On the other hand, the recognition process seeks the identification of the DNS server behavioral profile, which, consequently, can be used to assess the DNS server trustworthiness before DNS responses can be reliably used, e.g. identification of well-known and trusted DNS servers. Hence, the present patent, by the means of detecting the DNS server RFC adherence improves user security through the classification and recognition of DNS characteristics. Therefore, security solutions can use the DNS server characteristics to assess its trustworthiness before DNS responses can be reliably used.

Abstract: Method for controlling animation's process running on electronic devices having a processor adapted to execute instructions stored in a memory, the method including: interpreting an input method to generate an initial velocity; executing a routine projection using the initial velocity and a current GUI position to generate a factor; executing an adaptive routine using the factor to calculate a new modulated position/velocity value; executing a physics model iteration using the modulated position/velocity value to generate an updated position/velocity value; updating the graphical user interface with the updated position/velocity value and executing the control methods from the new set of position/velocity values, in which the control methods are a progressive forecasting method or an accurate modulation method.

Abstract: Method to control IoT devices (e.g. smart lamps, smart air conditioner, etc.) through a smart DTV device. Main control is synchronized with the video scene of the transport stream (open/cable/satellite DTV channel) through data added by broadcaster. The broadcaster chooses the desired IoT devices that will be controlled by the channel and the effects that will be reproduced on all devices. The broadcaster can use some multiplexing tool to add the commands synchronized with the desirable video scene together with the other data present at TS flow. The broadcaster datacasts certain data to all home DTV appliances or receivers tuned to that channel. In the receiver side, this data is filtered, processed and transmitted to all IoT devices on the home network and, also paired with the TV receiver.

Abstract: Method of enforcing control flow integrity (CFI) for a monolithic binary using static analysis by: marking evaluated functions as core functions by a chosen heuristic or empirically; generating a binary call graph; merging all function nodes of core functions as a node of highest privilege (set 0); merging all leaf functions in one node without privilege (set n); merging all nodes without privilege that reach functions of privilege i and setting the merged node privilege to i+1; checking if there is a node without privilege besides a trivial function; in a positive case, returning to merging all nodes without privilege and setting the merged node privilege to i+1; and in a negative case, setting the privilege of trivial functions as i+2.

Abstract: The proposed invention aims at encoding contextual information for video analysis and understanding, by encoding spatial and temporal relationships of objects and the main agent in a scene. The main target application of the invention is human activity recognition. The encoding of such spatial and temporal relationships may be crucial to distinguish different categories of human activities and may be important to help in the discrimination of different video categories, aiming at video classification, retrieval, categorization and other video analysis applications.

Abstract: The present invention relates to method for detection of access point characteristics based on machine learning methods to passively recognize and classify W-Fi Access Points (AP) characteristics before establishing a connection. The method passively extracts behavior features based on the message received from the AP, e.g., a beacon frame, which can then be used for classification and recognition purposes. For classification, the technique enables the separation of APs into categories, e.g., hardware-based and software-based devices, thus, allowing the detection of fake APs, improving user's security. Finally, when used for recognition purposes, the technique enables the identification of the AP type, e.g. identify if the AP is a router, printer, camera, hotspot, the software used for software-based AP, or others, which, consequently can be used to assess the AP trustworthiness before a connection can be reliably established.

Abstract: A method to configure a new IoT device using a smartphone with the IoT device configuration application/service installed. Once the user has added the configuration preferences after successful login to his account on the cloud service using secure communication channel (such as TLS), the user can scan the QR code printed on the device/paper shipped together with the device. After the QR code is scanned, the mobile application decodes the data contained in the QR code, verifies the digital signature, and automatically enables a Wi-Fi hotspot on the smartphone, based on the information retrieved from the QR code. Then, the mobile application informs the user to switch on the IoT device. Once the IoT device is turned on and boots completely, it connects to the hotspot on the smartphone using the default Wi-Fi SSID and PSK saved in its memory (the same as on the QR code).

Abstract: Method for digital video transmission in real time to multi-homed devices over heterogeneous networks by adopting a packaging forwarding strategy with path and content monitoring to the MPEG media transport protocol (MMT), method for reception and communication system, wherein a sender side has four modules: video parser, feedback packet receiving module, scheduler module and packet transmitter, and a receiver side has six modules: packet receiver, statistics calculator, feedback packet sender, reassembler, video decoder and video renderer.

Abstract: A system to enable a full Desktop Experience based on a mobile device. The system includes a Linux kernel and a Linux distribution, wherein a mobile operating system, packaged on a virtual container, is running on top of a standard Linux distribution, or wherein desktop and mobile operating systems run on their own Virtual container isolated from each other.

Abstract: Method and system for displaying a digital human-like avatar in self-driving vehicles (SDV) including detecting a set of environmental data/characteristics in the vehicle surrounding area by sensors/cameras generating signals to be input for traditional machine learning classifiers on a computer vision module (CVM); receiving control system inputs from the sensors and processing actions to be performed; after receiving outputs from the control system, executing autonomous driving actions by an actuator system; and based on inputs from the CVM and a personalization module, combined with actions and car status information from the control system, generating a digital avatar performing human-like reactions/expressions/gestures to properly communicate/indicate the current and future actions of the SDV for external people on a SDV display device.

Abstract: Method of enforcing control flow integrity (CFI) for a monolithic binary using static analysis by: marking evaluated functions as core functions by a chosen heuristic or empirically; generating a binary call graph; merging all function nodes of core functions as a node of highest privilege (set 0); merging all leaf functions in one node without privilege (set n); merging all nodes without privilege that reach functions of privilege i and setting the merged node privilege to i+1; checking if there is a node without privilege besides a trivial function; in a positive case, returning to merging all nodes without privilege and setting the merged node privilege to i+1; and in a negative case, setting the privilege of trivial functions as i+2.

Abstract: A method for compressing light field data using variable block-size four-dimensional transform and bit-plane hexadeca-tree decomposition, the method including: partitioning a four-dimensional pixel data of a light field into four-dimensional blocks of independent fixed size; partitioning the four-dimensional blocks in a set of four-dimensional non-overlapping sub-blocks of different sizes according to a rate-distortion criterion; independently transforming the four-dimensional sub-blocks generated in the previous operation, using a four-dimensional transform; quantizing by bit-planes the sub-blocks transformed by the four-dimensional transform according to Rate-Distortion optimized hexadeca-tree structure; and encoding the four-dimensional quantized data generated through an arithmetic encoder to produce a compressed representation of the light field.

Abstract: A method to configure a new IoT device using a smartphone with the IoT device configuration application/service installed. Once the user has added the configuration preferences after successful login to his account on the cloud service using secure communication channel (such as TLS), the user can scan the QR code printed on the device/paper shipped together with the device. After the QR code is scanned, the mobile application decodes the data contained in the QR code, verifies the digital signature, and automatically enables a Wi-Fi hotspot on the smartphone, based on the information retrieved from the QR code. Then, the mobile application informs the user to switch on the IoT device. Once the IoT device is turned on and boots completely, it connects to the hotspot on the smartphone using the default Wi-Fi SSID and PSK saved in its memory (the same as on the QR code).

Abstract: Method to control IoT devices (e.g. smart lamps, smart air conditioner, etc.) through a smart DTV device. Main control is synchronized with the video scene of the transport stream (open/cable/satellite DTV channel) through data added by broadcaster. The broadcaster chooses the desired IoT devices that will be controlled by the channel and the effects that will be reproduced on all devices. The broadcaster can use some multiplexing tool to add the commands synchronized with the desirable video scene together with the other data present at TS flow. The broadcaster datacasts certain data to all home DTV appliances or receivers tuned to that channel. In the receiver side, this data is filtered, processed and transmitted to all IoT devices on the home network and, also paired with the TV receiver.

Abstract: Method for digital video transmission in real time to multi-homed devices over heterogeneous networks by adopting a packaging forwarding strategy with path and content monitoring to the MPEG media transport protocol (MMT), method for reception and communication system, wherein a sender side has four modules: video parser, feedback packet receiving module, scheduler module and packet transmitter, and a receiver side has six modules: packet receiver, statistics calculator, feedback packet sender, reassembler, video decoder and video renderer.

Abstract: A handsfree user input method controlling an immersive virtual environment application for a user with head-mounted device including: detecting input events generated by the user walking motion; determining if the movement type performed by the user is rotation or translation, and if the movement performed by the user is translation, then: determining an equivalent walking distance; calculating a virtual translation distance in the virtual environment notifying virtual translation distance to the virtual environment application; if the movement performed by the user is rotation, then: determining an actual rotation angle; calculating a virtual rotation angle in the virtual environment; notifying the virtual rotation angle to the virtual environment application; interpreting the virtual values by applying virtual environment; and updating the device head mounted display in accordance with virtual content.

Abstract: An RF tag with integrated anti-theft device allows a user, having a mobile device, to perform a secure purchasing application where the user uses the camera of the mobile device to read a barcode of a product and an RF tag with an integrated anti-theft device. The user can select the product he wishes to buy, check the information concerning that product, purchase the product, and disable the anti-theft device to go through a security portal without triggering the alarm.