Abstract: A method, system, and computer program product for anomaly detection using embedding space representation of system states. An anomaly detection model is trained using an anomaly detection algorithm and a plurality of reference vectors obtained using an embedding space representation process configured for mapping to a single point vector in an embedding space each of a plurality of system state snapshots comprised in a training dataset and each capturing during a defined time window a plurality of features of each process operating in the system. Responsive to receiving a testing dataset comprising one or more system state snapshots, one or more vectors in the embedding space are obtained using the embedding space representation process for mapping each system state snapshot in the testing dataset, and the anomaly detection model is used to determine whether a vector of the one or more vectors being indicative of a cyber-attack on the system.

Abstract: According to examples, an apparatus may include a processor and a memory on which are stored machine-readable instructions that, when executed by the processor, may cause the processor to receive event data to be placed in a plurality of queues. The processor may determine logical partitions for the received event data and may store the event data in the plurality of queues based on the determined logical partitions. A first queue of the plurality of queues may be mapped to a first logical partition range and a second queue of the plurality of queues may be mapped to a second logical partition range. Based on respective loads at the plurality of queues, the processor may update a mapping of the determined logical partitions to the plurality of queues by transferring logical partitions between the first queue and the second queue.

Abstract: The present disclosure provides compositions including at least one Dead Sea extract, ?-carotene and Niacinamide. The present disclosure further provides formulations including the compositions, their uses and methods utilizing same.

Abstract: An access system for a vehicle may include at least one antenna configured to receive access signals for authorization to gain access to the vehicle, and a controller configured to receive motion data from a key fob associated with the vehicle, the motion data indicative of a route of a user associated with the key fob, classify the motion data as one of an open route and a closed route, and restrict access to the vehicle in response to the motion data being classified as an open route.

Abstract: This present invention discloses compositions comprising Dead Sea extract in combination with one or more plant extracts, uses thereof and methods of preventing and/or reducing and/or inhibiting the glycation of one or more biomolecules and/or preventing and/or reducing and/or inhibiting the formation of Advanced Glycation End Products.

Abstract: Techniques for detecting anomalies or cyber attacks on a vehicle. A computer-implemented method for anomaly or attack detection includes determining, using a first model, a first predicted value of a first variable message associated with a vehicle, determining, using a second model, a second predicted value of the first variable message associated with the vehicle, determining, based on a difference between an actual value of the first variable message and the first predicted value of the first variable message and on a difference between the actual value of the first variable message and the second predicted value of the first variable message, a vector, and determining, using a third model, an output value based on the vector, the output value corresponding to at least one of a likelihood that an anomaly or an attack is occurring or a type of the anomaly or the attack.

Abstract: This present invention discloses compositions comprising Dead Sea extract in combination with one or more plant extracts, uses thereof and methods of preventing and/or reducing and/or inhibiting the glycation of one or more biomolecules and/or preventing and/or reducing and/or inhibiting the formation of Advanced Glycation End Products.

Abstract: Provided are nonwoven fabric materials including Dead Sea minerals which exhibit useful aesthetic and physical performance during the time of utilization in a consumer product. Further provided are processes for the preparation of the material and to uses thereof.

Abstract: Techniques are described herein that are capable of using weighted peer groups to selectively trigger a security alert. A determination is made that an entity performs an operation. The entity has peers that are categorized among peer groups. For each peer group, an extent to which the peers in the peer group perform the operation is determined. Weights are assigned to the respective peer groups. For each peer group, the extent to which the peers in the peer group perform the operation and the weight that is assigned to the peer group are combined to provide a respective weighted group value. A risk score, which is based at least in part on the weighted group values of the peer groups, is assigned to the operation. The security alert regarding the operation is selectively triggered based at least in part on the risk score.

Abstract: Provided are compositions including at least one Dead Sea extract and at least one extract of the Apple of Sodom (Calotropis procera). Further provided are formulations including the compositions and their uses.

Abstract: The invention concerns a method and system for manufacturing a three-dimensional part by a computer-aided manufacturing process, and an associated method and system for detecting a manufacturing process breach in a computer-aided manufacturing process of a three-dimensional part. The three-dimensional part manufacturing comprises computing pedigree information (10) relating to the manufacturing process of the three-dimensional part, wherein the pedigree information (10) gives access to pedigree data of the manufacturing process of the three-dimensional part, the pedigree data comprising manufacturing data (8D) collected during the manufacturing process of the three-dimensional part, and inserting a mark (20) encoding the pedigree information on a surface or within a volume of the three-dimensional part, to obtain a marked three-dimensional part (24).

Abstract: Provided are nanoparticles including at least one Dead Sea Extract, as an active ingredient, and at least one amphipathic material. Further provided are skin-care compositions and/or pharmaceutical compositions including the nanoparticles. Cosmetic and/or therapeutic methods utilizing the nanoparticles are disclosed as well.

Abstract: Methods, systems and computer program products are provided for detection of slow brute force attacks based on user-level time series analysis. A slow brute force attack may be detected based on one or more anomalous failed login events associated with a user, alone or in combination with one or more post-login anomalous activities associated with the user, security alerts associated with the user, investigation priority determined for the user and/or successful logon events associated with the user. An alert may indicate a user is the target of a successful or unsuccessful slow brute force attack. Time-series data (e.g., accounted for in configurable time intervals) may be analyzed on a user-by-user basis to identify localized anomalies and global anomalies, which may be scored and evaluated (e.g., alone or combined with other information) to determine an investigation priority and whether and what alert to issue for a user.

Abstract: Computing environment resource popularity is assessed, using a computed ratio of accumulations of resource usage values and a relationship condition, thereby providing inputs as guidance for automatic system enhancement utilizations such as anomaly detection, resource management, and access or maintenance prioritization. Unlike V1 approaches that base resource popularity on at most two resource usage values, the V2 assessment approaches taught herein consider a distribution of usage values across an entire group of resources, thereby providing finer grained actionable results. Usage value accumulations may be scaled. Popularity or rareness of one or more resources of various types may be determined. A cache or other decay model may be employed to optimize assessment efficiency by reducing usage value retrieval I/O transactions. Specific utilizations of resource popularity assessments for enhancing system usability, security, functionality, and effectiveness are discussed.

Abstract: Provided are compositions including at least one Dead Sea extract and at least one polysaccharide, wherein the repeating unit of said polysaccharide is a tetrasaccharide consisting of two D-glucose residues, one L-fucose residue and one D-glucuronic acid residue. Further provided are formulations including the compositions and their uses as skin protectants against pollution.

Abstract: Provided are compositions including at least one Dead Sea extract and at least one extract of the Apple of Sodom (Calotropis Procera). Further provided are formulations including the compositions and their uses.

Abstract: Methods, systems and computer program products are provided for detection of slow brute force attacks based on user-level time series analysis. A slow brute force attack may be detected based on one or more anomalous failed login events associated with a user, alone or in combination with one or more post-login anomalous activities associated with the user, security alerts associated with the user, investigation priority determined for the user and/or successful logon events associated with the user. An alert may indicate a user is the target of a successful or unsuccessful slow brute force attack. Time-series data (e.g., accounted for in configurable time intervals) may be analyzed on a user-by-user basis to identify localized anomalies and global anomalies, which may be scored and evaluated (e.g., alone or combined with other information) to determine an investigation priority and whether and what alert to issue for a user.

Abstract: Methods, apparatus, systems and articles of manufacture to prepare a set of equations for a successive over relaxation processor are disclosed. An example apparatus includes an identifier to identify a set of equations that corresponds to pixels of an input image. Example apparatus also include a partitioner to divide the set of equations into partitions that contain mutually independent subsets of the equations and a collector to collect the subsets of the set of equations into groups, based on the partitions, to be solved in parallel by the successive over relaxation processor.

Abstract: An electronic device for quantifying parallax motion is described. The electronic device includes a detecting unit to detect at least three fiducial markers in an image with parallax, wherein the at least three fiducial markers are part of a straight line in an input image; an estimating unit to estimate a best fit line to a curved line formed by the at least three fiducial markers, wherein the curved line is a result of parallax applied to the input image; a calculating unit to calculate an error between the best fit line and the curved line formed by the at least three fiducial markers; and a comparing unit to compare the error to a threshold limit.

Abstract: A method for detecting cross talk, that may include acquiring a first image of a region of interest (ROI) of a wafer by illuminating the ROI with a first oblique beam, and collecting light reflected from the ROI; acquiring a second image of the ROI by illuminating the ROI with a second oblique beam, and collecting light reflected from the ROI; wherein a orthogonal projection of the first oblique beam on the wafer is oriented to a orthogonal projection of the second oblique beam on the wafer; and detecting cross talk that appears in at least one of first image of the region and the second image of the region.