A computer-implemented method for content-agnostic referencing of a binary data file, the method comprising: determining a length of the binary data file, the length comprising the number of bits of the binary data file; for the determined length, generating all permutations of data of the determined length; locating an index within the generated permutations, wherein the index is the starting position of the binary data file within the generated permutations; and using the length and the index to indicate the binary data file.

Method and system for content agnostic file indexing

The invention belongs to the technical field of file encryption algorithms, and particularly relates to a file encryption method and device with higher randomness and higher confidentiality. The method comprises the following steps: analyzing an entrance file OFD/docx/xlsx. Xml to obtain document metadata, a document file position and a secret key; Analyzing the document file Document.xml to obtain the position and other information of the page file in the document file, including whether the document contains the digital signature Signeaus.xml or annotations Annotations. Xml or indexing information presented on the content. According to the invention, the original format and analysis scheme are maintained, and the plaintext content of the document can be normally identified even if the analysis end program is not transformed; A mechanism of linearization or segmented loading of an original format is reserved; The key content of the file is encrypted, and the security can still be maintained when the file is used for network transmission.

A file encryption method and device

The invention belongs to the field of information security, and relates to an improved encryption method for big data. In view of the fact that big data is not suitable to be all encrypted due to large volume, a selective encryption method is adopted. Only part of data is encrypted according to a rule or through selection. Data is compressed before encryption, which can enhance the security and reduce the storage space. Taking into account the possible problems brought about by encrypted ciphertext expansion, an encryption algorithm based on equal-length plaintext and ciphertext is adopted preferentially. Meanwhile, an optimal scheme reducing key management and ensuring security is proposed. A file can be encrypted and decrypted with fewer keys.

Improved encryption method for big data

The invention provides a file compression method, a file decompression method and electronic equipment. The file compression method comprises the steps that a compression request is received, whereinthe compression request comprises an encryption compression mode for at least part of files in a to-be-compressed file, and under the condition that the at least part of files are all files of the to-be-compressed file, at least two compression passwords are adopted in the encryption compression mode; and in response to the compression request, a compressed file comprising the to-be-compressed file is generated. Different compression modes can be adopted for the to-be-compressed file, a compressed file is generated, the convenience of file compression is improved, the system space of electronic equipment is saved, and the time of searching the compressed file by a user is prolonged.

File compression method, file decompression method and electronic equipment

The invention belongs to the field of information safety, and relates to a compression encryption method for a big data file. Because the big data file is large in data size and the total calculationburden of encryption is too large to complete, the method enables an original plaintext to be stored so as to reduce the reading and writing of data, especially the writing, achieves the covering of apart of encrypted plaintext, and enables a compressed and encrypted ciphertext to be stored independently. Different encryption methods have different advantages and disadvantages, the fully homomorphic encryption cannot solve a problem of all computing entrustment and is large in cost, some entrustment needs the encryption with a misguide function and other entrustment needs the general symmetric encryption, so an encryption method with the proper segmentation is selected according to the needs, and only a part of data is encrypted through a rule or selection. Meanwhile, an optimal scheme for reducing the secret key management and guaranteeing the safety is proposed, and the encryption and decryption of a file just need fewer secret keys. Meanwhile, the compression is introduced before the encryption, so as to reduce a data storage space, to reduce the calculation burden of encryption, and to improve the safety.

Compression encryption method for big data file

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Compression encryption method for big data file