Hrl Laboratories, LLC

The Boeing Company

Chong Ding

Rajan Bhattacharyya

David W Payton

Michael D Howard

Karim El Defrawy

Hyukseong Kwon

Aruna Jammalamadaka

Dmitriy V Korchev

Gavin D Holland

Kenji Yamada

Tsai-Ching Lu

Chongwon Cho

Hyun Jin Kim

Described is a system for analyzing time series data. A sequence of symbols is generated from a set of time series input data related to a moving vehicle using automatic segmentation. A grammar is extracted from the sequence of symbols, and the grammar is a subset of a probabilistic context-free grammar (PCFG). Using the grammar, time series input data can be analyzed, and a prediction of the vehicle's movement can be made. Vehicle operations for an autonomous vehicle are determined using the prediction.

Method for time series structure discovery

A tracking system for tracking a moving target includes a processor and a tracking module that implements an iterative process for tracking the moving target. The iterative process includes receiving sensor data for a current state of the moving target. The process also includes applying a filter engine to the sensor data and a measure of error of a previous prediction of the current state of the target to produce a first estimate for an upcoming state and a first measure of error thereof. The process also includes receiving from at least one second tracking system, at least one second estimate for the upcoming state and second measure of error thereof. The process further includes defining a consensus estimate for the upcoming state and a consensus measure of error thereof using the first estimate and the at least one second estimate and the first and second measure of error thereof.

Tracking a target using multiple tracking systems

Described is a system for biometric based security. The system applies a reusable fuzzy vault (RFV) process to protect secret information. The RFV process comprises a locking algorithm and an unlocking algorithm. The locking algorithm takes as input a fuzzy string m generated from readings of biometrics and secret information sk to be protected, The locking algorithm outputs a public string vault and a hash value h of sk. The unlocking algorithm takes as input a public string vault and a fuzzy string m', and outputs a string sk&#x2032; if fuzzy string m&#x2032; is sufficiently close to fuzzy string m. The unlocking algorithm further computes a hash value h&#x2032; of sk&#x2032; and compares it with h. The system allows access to the secret information sk when h&#x2032; is equivalent to h.

Reusable fuzzy vault system

A method for generating a security policy for a network includes classifying a sample of network flows into at least one flow type selected from a group including a service flow, mirror flow, network address translation flow, and arbitrary flow; grouping the network flows based on flow type and one or more of an associated service port, source port, and destination port. Network security rules for the network are automatically generated based on the groups of network flows. The network security rules may further be transformed into a security policy and configuration files.

Network address translation and service aware rule generation

An apparatus is provided for tracking a target moving between states using an iterative process. The apparatus receives sensor data for a current state i, and applies a cubature information filter and an H-infinity filter thereto to respectively produce an estimate for the upcoming state i+1 and a measure of error thereof, and adjust the measure of error. The apparatus then defines a consensus estimate of the upcoming state i+1 and a consensus adjusted measure of error thereof from the estimate and adjusted measure of error, and a second estimate and second adjusted measure of error that is received from at least one second apparatus tracking the target. The apparatus then applies a cubature information filter to the consensus estimate of the upcoming state i+1 and the consensus adjusted measure of error to predict the upcoming state i+1.

Tracking a target moving between states in an environment

Systems and methods for generating filtering rules are provided. One computer implemented method includes receiving a command to modify existing network traffic rules. The method further includes performing a quality calculation for the existing network traffic rules, the quality calculation being a function of a number of distinct flows permitted by a particular rule, wherein (i) if the command to the network is to increase the number of rules, then identifying a rule of the existing network traffic rules with a highest quality calculation, splitting the rule into sub-rules and adding a new rule, and (ii) if the command to the network is to decrease the number of rules, then identifying the existing network traffic rules with quality rule calculations near a predetermined value, adding new rules, and merging the new rules to the identified rules with quality rule calculations near the predetermined value.

Systems and methods for generating filtering rules

Described is a system for detecting attacks of misinformation on communication networks. Network controllability metrics on a graphical representation of a communication network are computed. Changes in the network controllability metrics are detected, and attack of misinformation on the communication network are detected based on the detected changes in the network controllability metrics.

System and method to detect attacks on mobile wireless networks based on network controllability analysis

Described is a system for detecting attacks on networks. A hierarchical representation of activity of a communication network is used to detect and predict sources of misinformation in the communication network. The hierarchical representation includes temporal patterns of communication between at least one pair of nodes, each temporal pattern representing a motif, having a size, in the hierarchical representation. Changes in motifs provide a signal for a misinformation attack.

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Riverside, CA, United States of America

Chong Ding