9 results about "Network layer" patented technology

The invention relates to an Internet of Things platform architecture based on a rule engine, which comprises an application layer, a system service layer, a network layer and an equipment layer whichare sequentially arranged from top to bottom and are in communication connection the system service layer comprises a rule engine module, a database rule event table and an API (Application Program Interface) for processing logic services; and the application layer comprises a monitoring platform control end, and the monitoring platform control end comprises a rule event setting module associatedwith the database rule data table. Compared with the prior art, high separation of the service logic rule and the system is realized through a rule engine technology; a special service logic interfaceis provided; the service personnel can conveniently customize the logic rules, meanwhile, the rule engine technology specifies a set of perfect rule design grammars, a user can abstract the corresponding logic rules from complex service system rules, and the platform system has high flexibility during maintenance and development through the rule engine technology.

The invention provides a fast convergence method for flooding networking. The method comprises the steps that 1 a concentrator constructs the network layer protocol data unit of a command packet and sends a data acquisition command to a target node; 2 if the node interpretation destination address which receives the command packet is not itself, whether the command packet is forwarded or discarded is determined according to various processing mechanisms; 3 if the node interpretation destination address which receives the command packet is itself, whether the command packet is processed according to a certain processing mechanism; 4 the node which receives the response packet decides whether to forward or discard the response package according to various processing mechanisms; and 5 the concentrator receives the response packet and decides whether to process the response package according to a certain processing mechanism. According to the invention, the communication success rate between the concentrator and each node can be greatly increased; the communication reliability is greatly improved; and the workload of network maintenance is minimized.

A technology is disclosed providing a crossover node detection pre-processing method and the like in which, when a MN performs a handover and detects a CRN, a layer, among an aggregation overlapping such as to be nested (a plurality of network layers), up to which a process for detecting the CRN is performed is decided and a number of layers from the outermost layer of the aggregation to the decided layer is decided. As a result, the CRN detection is not time-consuming, double reservation can be kept to a minimum, and QoS failure can be avoided. The technology includes a step of deciding, by a mobile node 10, a network layer, among a plurality of network layers overlapping such as to be nested, up to which the process for detecting the CRN is performed and deciding a number of layers from the outermost network layer of the plurality of network layers to the decided network layer, and a step of generating a message including information on the decided number of layers.

The invention discloses a mesh network encryption scheme based on a non-public encryption algorithm. Data are encrypted and decrypted by using a network secret key and an application secret key two-stage secret key, the network secret key encrypts and decrypts the data on a network layer by using an AES algorithm, and the application secret key encrypts and decrypts the data on an upper transmission layer by using two encryption and decryption algorithms, namely the AES algorithm and a non-public encryption algorithm. According to the mesh network encryption scheme based on the non-public encryption algorithm, in order to ensure the universality and the coverage range of the mesh network, the encryption and decryption of the network secret key of the network layer keep the traditional mode unchanged, and the AES-needs to be supported by the application secret key of the upper transmission layer; the two encryption and decryption algorithms, namely the CCM algorithm and the non-public encryption algorithm, are used for further protecting the core application data by introducing the non-public encryption algorithm into the two-layer encryption of the mesh, and as the non-public encryption algorithm is not public, the non-public encryption algorithm generally exists in a chip in an IP form, the confidentiality effect is better than that of an AES algorithm.

The embodiment of the invention relates to the field of machine deep learning, and discloses a model training method, electronic equipment and a computer readable storage medium. The model training method comprises the following steps: performing migrating based on a preset pre-training model, and constructing a target model; obtaining a training set for training the target model; visualizing thetarget model, and determining a model structure of the target model; determining a to-be-frozen layer and a non-frozen layer of the target model according to the model structure, wherein the non-freezing layer is a network layer needing to be trained; and training the non-frozen layer according to the training set and the target model. According to the model training method provided by the embodiment of the invention, the feature information of the pre-training model can be highly utilized, the training effect of the target model is improved, and the risk of model overfitting is effectively avoided.

The invention provides a scanning system for address proxy conversion and an address conversion method, the scanning system comprises a scanning service module, a scanning engine module, an address port, a proxy binding module and a network module, the scanning service module receives task configuration, processes scanning parameters, and issues tasks to the scanning engine module through the address port; the proxy binding module is arranged between the scanning service module and the scanning engine module, is used for mapping an address port required by scanning, is provided with an IP address detection unit and is used for monitoring a local address; and according to the method, the IPv4 and the IPv6 are bridged in a proxy manner, the existing network layer is not changed, and different address targets are uniformly converted into the same address target before the scanning task reaches the scanning engine, so that the engine can support different address targets without modification.