Abstract:
Systems, apparatuses, and methods for cooperative security in wireless sensor networks are described herein. A wireless node may organize itself into a cluster with other wireless nodes. The wireless node may cooperate with other wireless nodes in the cluster to select a leader node. The wireless node may describe its expected behaviors. The wireless node may detect a compromised wireless node within the cluster. The wireless node may prevent the compromised wireless node from compromising another wireless node.
Abstract:
Various systems and methods for a collaborative phone reputation system are described herein. A system for implementing a collaborative phone reputation system includes a compute device comprising: a call handling module to detect, at the compute device, an incoming call for a user of the compute device; a scoring module to determine a local probabilistic score that the incoming call is desirable for the user; and an execution module to perform an action at the compute device based on the local probabilistic score.
Abstract:
A method may include receiving, using at least one processor, location information that includes a location of an unmanned aerial vehicle (UAV); querying, using the at least one processor, a policy database to retrieve a notification condition for a first property with respect to UAVs; calculating, using the at least one processor, a distance between the UAV and the first property using the received location information determining, using the at least one processor, if the distance of the UAV with respect to the first property is within a range defined in the notification condition for the first property; and transmitting, using the at least one processor, a notification to a party associated with the first property when the distance of the UAV with respect to the first property is within the range defined in the notification condition for the first property.
Abstract:
Methods, apparatus, systems and articles of manufacture are disclosed to pair devices to an in-body network. An example apparatus disclosed herein includes a device capability manager to identify remote sensors associated with a candidate medical device, an encryption engine to provide the candidate medical device with hashing instructions to be applied to input values from selected ones of the remote sensors, a measurement engine to acquire input values from local sensors corresponding to the selected ones of the available remote sensors during a measurement schedule, the encryption engine to apply the hashing instructions to the input values from the local sensors, and a pairing engine to authorize the candidate medical device when an encryption key associated with the remote sensors includes a threshold indication of parity with an encryption key associated with the local sensors.
Abstract:
Various systems and methods for a collaborative phone reputation system are described herein. A system for implementing a collaborative phone reputation system includes a compute device comprising: a call handling module to detect, at the compute device, an incoming call for a user of the compute device; a scoring module to determine a local probabilistic score that the incoming call is desirable for the user; and an execution module to perform an action at the compute device based on the local probabilistic score.
Abstract:
Apparatuses, storage media and methods associated with computer assisted driving (CAD), are disclosed herein. In some embodiments, an apparatus includes an autopilot engine to automatically pilot the vehicle out of a potential emergency situation, including to automatically pilot the vehicle for a period of time in view of a plurality of operational guardrails determined in real time for each of a plurality of timing windows; and a mitigation unit to conditionally activate the autopilot engine, including to activate the autopilot engine in response to analysis results indicative of the vehicle being potentially operated into the emergency situation manually. Other embodiments are also described and claimed.
Abstract:
An apparatus comprising at least one interface to receive a signal identifying a second vehicle in proximity of a first vehicle; and processing circuitry to obtain a behavioral model associated with the second vehicle, wherein the behavioral model defines driving behavior of the second vehicle; use the behavioral model to predict actions of the second vehicle; and determine a path plan for the first vehicle based on the predicted actions of the second vehicle.
Abstract:
Technologies for seamless data streaming include a control server and one or more client computing devices. A client computing device receives user presence data indicative of whether a user is nearby from one or more sensors. The client computing device may receive user interest data indicative of the user's interest level in the current data stream from one or more sensors. The control server identifies available client computing devices based on the user presence data, selects a target client computing device, and causes the data stream to transition from the current client computing device to the target client computing device. The target client computing device may be selected based on proximity of the user or the user's interest level in the data stream. The volume or balance of the data stream may be adjusted to provide a smooth transition between client computing devices. Other embodiments are described and claimed.
Abstract:
Technologies for assisting vehicles with changing road conditions includes vehicle assistance data based on crowd-sourced road data received from a plurality of vehicles and/or infrastructure sensors. The crowd-sourced road data may be associated with a particular section of roadway and may be used to various characteristics of the roadway such as grade, surface, hazardous conditions, and so forth. The vehicle assistance data may be provided to an in-vehicle computing device to assist or facilitate traversal of the roadway.
Abstract:
A method may include receiving, using at least one processor, location information that includes a location of an unmanned aerial vehicle (UAV); querying, using the at least one processor, a policy database to retrieve a notification condition for a first property with respect to UAVs; calculating, using the at least one processor, a distance between the UAV and the first property using the received location information determining, using the at least one processor, if the distance of the UAV with respect to the first property is within a range defined in the notification condition for the first property; and transmitting, using the at least one processor, a notification to a party associated with the first property when the distance of the UAV with respect to the first property is within the range defined in the notification condition for the first property.