Abstract: Data packets transmitted to and from an IoT device are obtained and at least one of the data packets are analyzed using deep packet inspection to identify transaction data from payload of the at least one of the data packets. An event log is generated for the IoT device from the transaction data, the event log, at least in part, used to generate a historical record for the IoT device. The IoT device into a device profile based on the historical record for the IoT device. The event log is updated in real-time to indicate current operation of the IoT device. Abnormal device behavior of the IoT device is determined using the event log and the device profile. The device profile is updated to indicate the abnormal device behavior of the IoT device.

Abstract: The present application provides a separator, a method for preparing the same, a secondary battery and an electrical device related thereto. The separator includes a porous substrate and a coating layer disposed on one or more surfaces of the porous substrate, wherein the coating layer includes nanocellulose, and the porous substrate has a surface tension of ?1 mN/m, the coating layer has a surface tension of ?2 mN/m, and the separator satisfies ?1/?2?0.68. The separator provided in the present application has the characteristics of excellent heat resistance and high bonding strength, thus the secondary battery using the separator can have the combined characteristics of high energy density, high thermal safety performance, and long service life.

Abstract: This application discloses a heat-resistant protective member and a battery. The heat-resistant protective member includes a reinforcing layer, a functional layer, and a strengthening layer that are sequentially arranged; the functional layer includes a first resin and a filler dispersed in the first resin; and the reinforcing layer and the strengthening layer each include a fiber matrix. In the foregoing manner, thermal impact of a single battery during ignition and detonation can be resisted, and structural integrity under the thermal impact can still be prevented from being broken through, so as to provide effective heat insulation and protection for a battery pack.

Abstract: A heat-resistant protective member and a battery are disclosed. The heat-resistant protective member includes a compound layer, and the compound layer includes a fiber matrix and a resin. The resin is dispersed in pores of the fiber matrix and/or a surface of the fiber matrix, and a volume proportion of the fiber matrix in the compound layer is 50% to 75%. In this way, the thermal shock when a battery cell is ignited and exploded can be resisted, and the structural integrity can still be maintained without being broken through under the thermal shock, thereby providing effective heat insulation and protection for a battery pack.

Abstract: Embodiments of the present application disclose a battery and an electrical device. The battery includes: a battery cell provided with a pressure relief mechanism; and a protective plate disposed opposite the pressure relief mechanism, wherein the protective plate includes at least two protective sheets, and the at least two protective sheets are two different polymer matrix composite fiber sheets. The technical solution provided by the present application can protect a box of the battery from gas flow impact and high-temperature melting caused by thermal runaway of the battery, thereby enhancing the safety performance of the battery.

Abstract: Some embodiments of this application disclose a battery and an electrical device. The battery includes: a battery cell, where a pressure relief mechanism is disposed on a first wall of the battery cell; and a protection plate, where the protection plate is disposed opposite to the pressure relief mechanism. The protection plate is a polymer-based composite fiberboard. The technical solution provided in this application can protect a box of the battery from airflow impact and high-temperature melting arising from thermal runaway of the battery, thereby enhancing safety performance of the battery.

Abstract: A method for optimization of a parametric array shallow profile difference frequency conversion performance, comprising the following steps: building a three-layer parametric array shallow profile emission acoustic wave propagation path model, and establishing a detection horizontal position DL equation capable of detecting a detection performance of the parametric array shallow profile; and building a model for optimization of the parametric array shallow profile difference frequency conversion performance. A parametric receiving array includes the receiving hydrophone and a pump transducer, comprising: a silicone rubber column is added between the receiving hydrophone and the pump transducer to improve the conversion efficiency of the parametric receiving array.

Abstract: Data packets transmitted to and from an IoT device are obtained and at least one of the data packets are analyzed using deep packet inspection to identify transaction data from payload of the at least one of the data packets. An event log is generated for the IoT device from the transaction data, the event log, at least in part, used to generate a historical record for the IoT device. The IoT device into a device profile based on the historical record for the IoT device. The event log is updated in real-time to indicate current operation of the IoT device. Abnormal device behavior of the IoT device is determined using the event log and the device profile. The device profile is updated to indicate the abnormal device behavior of the IoT device.

Abstract: Data packets transmitted to and from an IoT device are obtained and at least one of the data packets are analyzed using deep packet inspection to identify transaction data from payload of the at least one of the data packets. An event log is generated for the IoT device from the transaction data, the event log, at least in part, used to generate a historical record for the IoT device. The IoT device is profiled into a device profile based on the historical record for the IoT device. The event log is updated in real-time to indicate current operation of the IoT device. Abnormal device behavior of the IoT device is determined using the event log and the device profile. The device profile is updated to indicate the abnormal device behavior of the IoT device.

Abstract: Data packets transmitted to and from an IoT device are obtained and at least one of the data packets are analyzed using deep packet inspection to identify transaction data from payload of the at least one of the data packets. An event log is generated for the IoT device from the transaction data, the event log, at least in part, used to generate a historical record for the IoT device. The IoT device is profiled into a device profile based on the historical record for the IoT device. The event log is updated in real-time to indicate current operation of the IoT device. Abnormal device behavior of the IoT device is determined using the event log and the device profile. The device profile is updated to indicate the abnormal device behavior of the IoT device.

Abstract: Data packets transmitted to and from an IoT device are obtained and at least one of the data packets are analyzed using deep packet inspection to identify transaction data from payload of the at least one of the data packets. An event log is generated for the IoT device from the transaction data, the event log, at least in part, used to generate a historical record for the IoT device. The IoT device into a device profile based on the historical record for the IoT device. The event log is updated in real-time to indicate current operation of the IoT device. Abnormal device behavior of the IoT device is determined using the event log and the device profile. The device profile is updated to indicate the abnormal device behavior of the IoT device.

Abstract: Techniques for providing Internet of Things (IoT) device security are disclosed. An applicable system includes IoT devices coupled to an evolving context-aware IoT device security system. In a specific implementation, the system uses common factor aggregation of event parameters to determine IoT device personality.

Abstract: Data packets transmitted to and from an IoT device are obtained and at least one of the data packets are analyzed using deep packet inspection to identify transaction data from payload of the at least one of the data packets. An event log is generated for the IoT device from the transaction data, the event log, at least in part, used to generate a historical record for the IoT device. The IoT device into a device profile based on the historical record for the IoT device. The event log is updated in real-time to indicate current operation of the IoT device. Abnormal device behavior of the IoT device is determined using the event log and the device profile. The device profile is updated to indicate the abnormal device behavior of the IoT device.