Abstract: Embodiments disclosed herein relate to monitoring navigation signals, and more particularly to verifying navigation signals, which can comprise of detecting spoofing and glitches in navigation signals by analyzing sequential time series data in the navigation signal. embodiments herein is to disclose methods and systems for verifying navigation signals, wherein navigation signals received by a receiver is timestamped, using a sequential model (such as, but not limited to, Long Short-Term Memory (LSTM), Recurrent Neural Network (RNN), and so on) for verifying patterns in the timestamped time series navigational signals, and determining whether the navigation signal is spoofed using the verified/unverified patterns.

Abstract: A device, system and method for facilitating multi-level stream-based edge analytics in multi-modal communication. The device generates at least one primary data stream and secondary data stream by processing a plurality of data streams received from one or more data sources based on type of a multimodal application. Further, the device determines bandwidth requirements for transmission of the primary data stream and secondary data stream. The device then selects one or more network interfaces from a plurality of network interfaces to transmit at least one primary data stream based on traffic characteristics of the plurality of network interfaces and the bandwidth requirements. The device then transmits the primary data stream to an edge analytic server for edge analytics via the selected one or more network interfaces.

Abstract: The present invention relates to a system and method for enabling a multi-operator edge environment. The present invention provides an architecture that caters to broad application support (software and hardware support) from multiple EDNs supported by other Edge Service Providers. Further, the architecture of the present invention is based on the 3GPP app enablement architecture that is flexible to incorporate, manage, and cooperate with multiple ESP(s). The developed architecture has several new entities and interfaces to support the multiple ESP. The architecture further includes Federated Edge Configuration Server (F-ECS).

Abstract: The present disclosure provides a method to protect clear text transmission of user identity in wireless networks. The method includes sending a registration request to a Home Network (HN) to start an authentication process of a User Equipment (UE). In addition, the method includes receiving a subscription concealed identifier (SUCI) at the server network (SN). Further, the method includes generating a Subscription permanent identifier (SUPI) and a privacy key. The Subscription permanent identifier (SUPI) is de-concealed from the subscription concealed identifier (SUCI). Furthermore, the method includes generating and mapping, a virtual Subscription permanent identifier (SUPI) corresponding to the received Subscription permanent identifier (SUPI). Also, the method includes generating and sending, an authentication vector (AV) to the server network (SN). The response message includes the virtual Subscription permanent identifier (SUPI).

Abstract: An apparatus and lightweight method detects and prevents DDoS attacks in a 5G-IoT slice in real-time without putting the stress of security on the constrained IoT devices. The apparatus includes eight IoT devices, a gNB, and 5G core network. The core network includes of AMF, SMF, UPF, PCF, UDR, and Network Data Analytics Function (NWDAF). 5 IoT devices connected to an IoT slice via a gNB RAN and core network are loaded with DDoS code. The gNB gives the RAN part of the slice to the IoT devices while as core network functions provide the core network part of the slice. A real-time and lightweight method consisting of Intrusion Detection System (IDS) and honeypots is designed for DDoS attack detection in 5G IoT/mMTC slices. The system identifies the attack efficiently and is able to mitigate it with less computation and storage costs.

Abstract: Disclosed herein are methods and systems for providing multivariate time series clustering for customer segmentation. The system comprises of a model management unit that devices a customer segmentation procedure based on temporal variations of user preferences, using MTS clustering, and utilize the discovered clusters to learn association rules specific to each clusters, and improves campaign targeting. The order of the VAR model is fixed based on the nature of the data and length of the time series.

Abstract: A method and system for continuously authenticating a user working from a remote location is provided. The method includes providing user an interface to login through his login credentials to company domain. The login credentials are authenticated by a company's remote server. Once the user is authenticated the server pushes user's secondary authentication details to user's device and invokes a secondary authentication system. The secondary authentication system may include a webcam that initiates once user is logged in and continuously monitors biometric parameters for continued authentication of the user.

Abstract: A method of providing content is provided. The method includes: receiving, by a target device, first content from a source device; establishing, by the target device, a connection with a cloud computing device; transmitting, by the target device, the first content and content control information to be used to convert the first content, to the cloud computing device; and receiving, by the target device, second content obtained by converting the first content based on the content control information, from the cloud computing device.

Abstract: An image sensor device may include an array of image sensing pixels with adjacent image sensing pixels being arranged in macropixel, and a processor coupled to the array of image sensing pixels. The processor may be configured to receive pixel signals from the array of image sensing pixels, and arrange the received pixel signals into macropixel signal sets for respective macropixels. The processor may be configured to perform, in parallel, an image enhancement operation on the received pixel signals for each macropixel signal set to generate enhanced macropixel signals, and transmit the enhanced macropixel signals.

Abstract: A method and system for continuously authenticating a user working from a remote location is provided. The method includes providing user an interface to login through his login credentials to company domain. The login credentials are authenticated by a company's remote server. Once the user is authenticated the server pushes user's secondary authentication details to user's device and invokes a secondary authentication system. The secondary authentication system may include a webcam that initiates once user is logged in and continuously monitors biometric parameters for continued authentication of the user.

Abstract: An image sensor device may include an array of image sensing pixels with adjacent image sensing pixels being arranged in macropixel, and a processor coupled to the array of image sensing pixels. The processor may be configured to receive pixel signals from the array of image sensing pixels, and arrange the received pixel signals into macropixel signal sets for respective macropixels. The processor may be configured to perform, in parallel, an image enhancement operation on the received pixel signals for each macropixel signal set to generate enhanced macropixel signals, and transmit the enhanced macropixel signals.

Abstract: An image sensor device may include an array of image sensing pixels with adjacent image sensing pixels being arranged in macropixel, and a processor coupled to the array of image sensing pixels. The processor may be configured to receive pixel signals from the array of image sensing pixels, and arrange the received pixel signals into macropixel signal sets for respective macropixels. The processor may be configured to perform, in parallel, an image enhancement operation on the received pixel signals for each macropixel signal set to generate enhanced macropixel signals, and transmit the enhanced macropixel signals.

Abstract: An image sensor device may include an array of image sensing pixels with adjacent image sensing pixels being arranged in macropixel, and a processor coupled to the array of image sensing pixels. The processor may be configured to receive pixel signals from the array of image sensing pixels, and arrange the received pixel signals into macropixel signal sets for respective macropixels. The processor may be configured to perform, in parallel, an image enhancement operation on the received pixel signals for each macropixel signal set to generate enhanced macropixel signals, and transmit the enhanced macropixel signals.

Abstract: An image sensor device may include an array of image sensing pixels with adjacent image sensing pixels being arranged in macropixel, and a processor coupled to the array of image sensing pixels. The processor may be configured to receive pixel signals from the array of image sensing pixels, and arrange the received pixel signals into macropixel signal sets for respective macropixels. The processor may be configured to perform, in parallel, an image enhancement operation on the received pixel signals for each macropixel signal set to generate enhanced macropixel signals, and transmit the enhanced macropixel signals.

Abstract: A video compression framework based on parametric object and background compression is proposed. At the encoder, an embodiment detects objects and segments frames into regions corresponding to the foreground object and the background. The object and the background are individually encoded using separate parametric coding techniques. While the object is encoded using the projection of coefficients to the orthonormal basis of the learnt subspace (used for appearance based object tracking), the background is characterized using an auto-regressive (AR) process model. An advantage of the proposed schemes is that the decoder structure allows for simultaneous reconstruction of object and background, thus making it amenable to the new multi-thread/multi-processor architectures.

Abstract: Disclosed herein are methods and systems for providing multivariate time series clustering for customer segmentation. The system comprises of a model management unit that devices a customer segmentation procedure based on temporal variations of user preferences, using MTS clustering, and utilize the discovered clusters to learn association rules specific to each clusters, and improves campaign targeting. The order of the VAR model is fixed based on the nature of the data and length of the time series.

Abstract: An image sensor device may include an array of image sensing pixels with adjacent image sensing pixels being arranged in macropixel, and a processor coupled to the array of image sensing pixels. The processor may be configured to receive pixel signals from the array of image sensing pixels, and arrange the received pixel signals into macropixel signal sets for respective macropixels. The processor may be configured to perform, in parallel, an image enhancement operation on the received pixel signals for each macropixel signal set to generate enhanced macropixel signals, and transmit the enhanced macropixel signals.

Abstract: System and method for identifying erroneous videos and assessing video quality is provided. Feature vectors are generated corresponding to a plurality of frames associated with the one or more videos. The feature vectors are subsequently subjected to anomaly detection to obtain first and second normalized path lengths and normalized anomaly measures. The first and second normalized path lengths and normalized anomaly measures are provided to a regression model to identify the erroneous video.

Abstract: A method of providing content is provided. The method includes: receiving, by a target device, first content from a source device; establishing, by the target device, a connection with a cloud computing device; transmitting, by the target device, the first content and content control information to be used to convert the first content, to the cloud computing device; and receiving, by the target device, second content obtained by converting the first content based on the content control information, from the cloud computing device.

Abstract: System and method for identifying erroneous videos and assessing video quality is provided. Feature vectors are generated corresponding to a plurality of frames associated with the one or more videos. The feature vectors are subsequently subjected to anomaly detection to obtain first and second normalized path lengths and normalized anomaly measures. The first and second normalized path lengths and normalized anomaly measures are provided to a regression model to identify the erroneous video.