30results about How to "Solve the problem of tampering" patented technology

The invention discloses a device for preventing a web page from being distorted, wherein in the device for preventing the web page from being distorted, a network data pack processing device intercepts a network data pack returned from a network server, a page restoring device receives the network data pack intercepted by the network data pack processing device and restores the network data pack into the web page content, a page content comparing unit compares the web page content restored by the page restoring device with a pre-backup web page content corresponding to the restored web page content to determine whether the restored web page content is distorted and notifies a network server takeover device about the information on the distortion of the web page when the restored web page content is determined to be distorted, and when receiving the information on the distortion of the web page, the network server takeover device returns the pre-backup web page content corresponding to the restored web page content to external network users. The invention also provides a method used in the device for preventing the web page from being distorted, and a system using the device for preventing the web page from being distorted.

The invention discloses a data reading method. The method comprises the following steps of: receiving a reading operation request which carries a first address by a controller of a memory, wherein thereading operation request is used for indicating the controller to carry out reading operations on the first address; carrying out N reading operations on the first address by the controller of the memory, and obtaining N pieces of data read by the N reading operations; judging whether the N pieces of data are consistent or not by the controller of the memory; and if the controller judges that the N pieces of data are consistent, sending response information for responding the reading operation request by the controller, wherein the response information comprises any one of the N pieces of data. The invention furthermore provides a memory. By adoption of the data reading method and the memory, benefit is brought to solve the problem that data of memories is tampered and leaked in the datareading process.

The invention discloses a block chain trustworthy storage execution hardware environment based on fusion memory, including data collection, data transmission and data storage, including the hardware environment equipped with block chain nodes, and the block chain nodes include storage mechanism nodes and the data point to the node; the WP# prohibiting writing signal of the hardware control flash memory is used to ensure that the data in the protected area can only be written once after the system is initialized and can no longer be modified; The address-set flash memory space is "cast" type write-protected, that is, once it is finalized, it can be written once. This kind of block chain trusted storage execution hardware environment based on fusion memory, the hardware has high-efficiency read and write speed, and can store a large amount of data; it has its own CPU processor, can write encryption algorithms, independent packaging, and can be used as a block Chain security nodes are used; from the hardware level, the data is written once and read out multiple times to ensure the integrity of the data on the chain and cannot be deleted.

The invention discloses an anti-counterfeit verification method based on digital signature technology, comprising: A. registering smart packaging on an anti-counterfeiting platform through an anti-counterfeiting APP and applying for a digital certificate of the smart packaging; Anti-counterfeiting anti-counterfeiting label; C. Obtain the anti-counterfeiting information of the smart packaging through the anti-counterfeiting APP and send it to the anti-counterfeiting platform for verification. If the smart packaging passes the verification, go to the next step; D. Activate the smart packaging and establish the relationship between the smart packaging and the product E. The smart packaging verifies the put-in commodity, and determines whether it is an associated commodity, and if so, controls the lock module to be locked; F. sets the unlocking data of the smart packaging, and the method of the present invention establishes the item and The corresponding relationship of packaging enables smart packaging to correctly perceive the packaged items, achieve the multi-party verification anti-counterfeiting packaging effect between the system, items, and packaging, and also realize unopened package verification and offline verification.

The invention provides a method and device for safety verification and repair of an HDFS storage platform. The device is set on the HDFS storage platform, including the name node and the data node; the name node is used to manage the storage data node information of the file block, receive the query request of the damaged file block sent by the data node, and return the damaged file block to the data node The backup storage data node information; the data node is used to store file blocks, regularly check the stored file blocks, detect whether the file block is damaged, and store the data node information from other data according to the backup of the damaged file block returned by the name node The node downloads the data block and completes the repair operation of the damaged file block. The invention solves the problem of file tampering that may occur in the original system by using the irreversible MD5 algorithm to calculate the check value of the file block, ensures the reliability of the check, and realizes the adjustment of the check interval according to the needs, and improves the check accuracy. test efficiency.

The invention provides a method for establishing a machine learning model to check webpage hidden links through domain identification and theme identification. The method comprises the steps of collecting a great number of webpage source codes which are marked as the webpage source codes comprising hidden links and the webpage source codes marked as the normal webpage source codes, and forming a training set based on the webpage source codes; extracting a risk text, risk degree, theme difference degree, a theme, a risk text vector, a risk text abnormal probability and the risk text length in each web page source code through suspicious domain identification, sensitive domain identification, secure domain identification, all-domain analysis and theme identification; carrying out model training on characteristic data of all web page source codes in the training set through utilization of a machine learning algorithm, thereby obtaining a classification distinguishing model; and importingthe characteristic data of to-be-predicted web page source codes into the classification distinguishing model, thereby obtaining a result of whether the to-be-predicted web page source codes comprisethe hidden links or not. According to the method, the highly mixed hidden link code identification effect is good, the feature extraction is relatively complete and the problem that a traditional method cannot accurately distinguish the hidden links and page tampering can be solved well.