Abstract: A method for producing an energy storage cell is provided. According to the method, a housing having a base, a tapping plate, and a wound electrode assembly are provided. The wound electrode assembly is connected to the tapping plate, and the tapping plate, which is connected to the wound electrode assembly, is arranged in the housing. The tapping plate and the base of the housing are connected to each other via laser beam welding.

Abstract: A method includes, at a server in a network, detecting for a user device network incidents relating to one or more security threats in the network using a plurality of threat detectors over a predetermined time period, each of the network incidents including one or more behavior indicators; assigning the network incidents into one or more groups, wherein each group corresponds to a type of security threat; generating a graph for a particular group of the user device, wherein the graph includes a plurality of nodes each representing a behavior indicator in the particular group, and wherein generating the graph includes assigning an edge to connect two nodes of the plurality of nodes if the two nodes correspond to behavior indicators that belong to a same network incident; and displaying the graph on a graphical user interface for a user.

Abstract: In one embodiment, a device obtains input features for a neural network-based model. The device pre-defines a set of neurons of the model to represent known behaviors associated with the input features. The device constrains weights for a plurality of outputs of the model. The device trains the neural network-based model using the constrained weights for the plurality of outputs of the model and by excluding the pre-defined set of neurons from updates during the training.

Abstract: In one embodiment, a device in a network detects an encrypted traffic flow associated with a client in the network. The device captures contextual traffic data regarding the encrypted traffic flow from one or more unencrypted packets associated with the client. The device performs a classification of the encrypted traffic flow by using the contextual traffic data as input to a machine learning-based classifier. The device generates an alert based on the classification of the encrypted traffic flow.

Abstract: This disclosure describes techniques for matching entities across a computing network using data from different telemetries. The techniques include receiving telemetry data of the computing network, the telemetry data including identifying information corresponding to an entity, associated information of the computing network, and/or timestamps. The techniques also include establishing one or more time windows based at least in part on the timestamps. A particular time window may be determined to correspond to the associated information. The techniques may include attributing the associated information to the entity. In some cases, an address book may be maintained, including mappings of the identifying information, the associated information, and/or time windows.

Abstract: A charge support system includes: a manager information acquiring section that acquires manager information as information regarding a manager of a private charge facility; an applicant-for-use information acquiring section that acquires applicant-for-use information as information regarding an applicant for use who wants to use the private charge facility; and a permission-for-charge-facility-use determining section that determines whether or not a predetermined permission-for-use condition is established between the applicant for use and the manager based on the applicant-for-use information and the manager information upon receipt of application-for-charge-facility-use information from a user terminal, the application-for-charge-facility-use information being for applying for use of the private charge facility, and that transmits permission-for-use information to the user terminal when the permission-for-use condition is established, the permission-for-use information being for making notification of permi

Abstract: Techniques for identifying malicious actors across datasets of different origin. The techniques may include receiving input data indicative of network interactions between entities and modalities. Based at least in part on the input data, a maliciousness score associated with a first entity may be determined. In some instances, a value of the maliciousness score may be partially based on a number of the modalities that are interacting with the first entity and also interacting with one or more malicious entities. The techniques may further include determining whether the value of the maliciousness score exceeds a threshold value and, based at least in part on the value of the maliciousness score exceeding the threshold value, a request may be made to identify the first entity as a new malicious entity.

Abstract: In one embodiment, a device obtains input features for a neural network-based model. The device pre-defines a set of neurons of the model to represent known behaviors associated with the input features. The device constrains weights for a plurality of outputs of the model. The device trains the neural network-based model using the constrained weights for the plurality of outputs of the model and by excluding the pre-defined set of neurons from updates during the training.

Abstract: A laboratory system for a laboratory automation system is presented. The laboratory system comprises a sample container carrier. The sample container carrier is configured to carry a laboratory sample container and comprises a removal detector. The removal detector is configured to interact with the laboratory sample container to detect a removal of the carried laboratory sample container from the sample container carrier. Furthermore, the laboratory system is configured to determine based on the detected removal that a before valid logic assignment of the sample container carrier to the carried laboratory sample container is invalid.

Abstract: A power supply management system includes: a charge history information acquisition unit for acquiring charge history information on a charge history of a moving body storage battery; a transmission and distribution network power cost information acquisition unit for acquiring transmission and distribution network power cost information; a stored electric charge value evaluation unit for evaluating a value of an electric charge stored in the moving body storage battery, based on charge history information; and a power supply control unit for determining which of first supply power, discharged from the moving body storage battery, and second supply power, transmitted from a transmission and distribution network, is used by power supply processing, as electric power to be supplied to an electric load, based on a cost of the second supply power and a value of an electric charge, stored in the moving body storage battery.

Abstract: A power storage management system includes: a travel plan recognition unit for recognizing a travel plan of a user; a moving body waiting period estimation unit for estimating a waiting period based on the travel plan, the waiting period being a period through which the user is to leave an electric moving body in a predetermined moving body waiting area, the electric moving body being used by the user; and a moving body charge-discharge control unit for charging or discharging a storage battery in the waiting period, the storage battery being provided in the electric moving body left in the moving body waiting area.

Abstract: A contract management system including a plurality of computers that operate such that each computer holds the same distributed ledger and a plurality of terminal apparatuses includes: a ledger management unit that records a block including received transaction data in the distributed ledger; and an association-information management unit that, when the ledger management unit records in the distributed ledger a block including transaction data including a smart contract for execution of a contract, generates association information that associates a contract address where the smart contract is stored with contract identification information.

Abstract: A electric power control system for controlling charge-discharge operation of a battery mounted on a vehicle includes: a plurality of computers, each operating so as to hold a distributed ledger identical to each other; a generation unit for generating transaction data including information related to charge-discharge operation of the battery; a ledger management unit for receiving the transaction data, and for recording the received transaction data in the distributed ledger; and a control unit for controlling charge-discharge operation of the battery, wherein: information related to the charge-discharge operation includes intention information that is information on an intention of a user of the vehicle regarding the charge-discharge operation; and the control unit executes the charge-discharge operation under an operating condition reflecting an intention of the user based on the intention information included in the transaction data recorded in the distributed ledger.

Abstract: Techniques for combining threat-related events associated with different modalities to provide a complete insight into cyber attack life cycles. The techniques may include receiving telemetry data associated with one or more modalities and detecting, based at least in part on the telemetry data, one or more abnormal events associated with security incidents. The one or more abnormal events may include at least a first abnormal event associated with a first modality and a second abnormal event associated with a second modality. The techniques may also include determining that an entity associated with the abnormal events is a same entity and, based at least in part on the entity comprising the same entity, determining that a correlation between the abnormal events is indicative of a security incident. Based at least in part on the correlation, an indication associated with the security incident may be output.

Abstract: Provided is a charging system including: a second power transmission unit; a moving mechanism that moves the second power transmission unit within a moving area including prescribed ranges within a plurality of parking spaces; and a power transmission control unit that, when a first electric vehicle is parked in a first parking space as one of a plurality of parking spaces, moves the second power transmission unit into the prescribed range of the first parking space by the moving mechanism to cause the first power transmission unit mounted to a first electric vehicle and the second power transmission unit to face each other so as to transmit power to the first power transmission unit from the second power transmission unit wirelessly to execute vehicle charging processing for charging the first electric vehicle.

Abstract: A power management system, comprises a power generating unit, a power output unit to distribute the electrical power generated by the power generating unit to a household and to a receiving unit, different from the household, wherein the receiving unit is a battery and/or a power grid, a grid power output unit to output electrical power supplied from a power grid to the household and/or to the receiving unit, a condition requirement setting unit to receive condition requirement data and a time period after which the receiving unit has to satisfy the required condition, a prediction data input unit to receive prediction data that indicates a prediction of the electrical power generated by the power generating unit over the time period, a control unit that is adapted to receive the condition requirement data from the condition requirement setting unit and the prediction data from the prediction data input unit.

Abstract: In one embodiment, a device in a network detects an encrypted traffic flow associated with a client in the network. The device captures contextual traffic data regarding the encrypted traffic flow from one or more unencrypted packets associated with the client. The device performs a classification of the encrypted traffic flow by using the contextual traffic data as input to a machine learning-based classifier. The device generates an alert based on the classification of the encrypted traffic flow.

Abstract: In one embodiment, a device in a network detects an encrypted traffic flow associated with a client in the network. The device captures contextual traffic data regarding the encrypted traffic flow from one or more unencrypted packets associated with the client. The device performs a classification of the encrypted traffic flow by using the contextual traffic data as input to a machine learning-based classifier. The device generates an alert based on the classification of the encrypted traffic flow.

Abstract: A method includes, at a server in a network, detecting for a user device network incidents relating to one or more security threats in the network using a plurality of threat detectors over a predetermined time period, each of the network incidents including one or more behavior indicators; assigning the network incidents into one or more groups, wherein each group corresponds to a type of security threat; generating a graph for a particular group of the user device, wherein the graph includes a plurality of nodes each representing a behavior indicator in the particular group, and wherein generating the graph includes assigning an edge to connect two nodes of the plurality of nodes if the two nodes correspond to behavior indicators that belong to a same network incident; and displaying the graph on a graphical user interface for a user.

Abstract: A method includes, at a server in a network, detecting for a user device network incidents relating to one or more security threats in the network using a plurality of threat detectors over a predetermined time period, each of the network incidents including one or more behavior indicators; assigning the network incidents into one or more groups, wherein each group corresponds to a type of security threat; generating a graph for a particular group of the user device, wherein the graph includes a plurality of nodes each representing a behavior indicator in the particular group, and wherein generating the graph includes assigning an edge to connect two nodes of the plurality of nodes if the two nodes correspond to behavior indicators that belong to a same network incident; and displaying the graph on a graphical user interface for a user.