The invention discloses a method and a system for detecting a hazardous network source, and particularly relates to the method and the system for detecting the hazardous network source based on data fusion. The method and the system are applied to safety detection for daily visited websites. The system is characterized by comprising a system information acquisition module including a data packet capture and link analysis module, a system behavior analysis module including a webpage Trojan analysis, malicious code detection and suspected website detection module, a system behavior result processing module including in-depth behavior rules and evaluation data mining, fusion and the like, a data disaster tolerance module including local backup control and remote backup control, and an expert system module. The method and the system for detecting the hazardous network source disclosed by the invention can quickly and accurately find risky states and harmful ways and give out an alarm to a user to carry out further processing, and particularly the hazardous source can be found through analyzing layer upon layer.

Method and system for detecting hazardous network source

The invention discloses a method and a device for detecting the virus of a security gateway, wherein the method comprises the steps of performing virus detection on a received file according to file blocks with a predetermined size, respectively; and making a prompt if detecting that a file block in the file carries virus. According to the method and the device provided by the invention, since virus detection is carried out on the file according to the file blocks with the predetermined size, the problem of low virus detection efficiency in the anti-virus process of the security gateway in the related technology is solved and the virus detection efficiency is improved.

Method and device for detecting virus of security gateway

The invention discloses a character string matching method and system. The character string matching method comprises the steps of decomposing a matched character string into data blocks in a preset number; matching each data block with a pattern string quickly until all the mutually matched character strings are found or a stop condition is met; and carrying out matching treatment for joints of the data blocks. The big character string is firstly decomposed into a plurality of relatively small character blocks for parallel analytic treatment before the matching of the character string and the pattern string, so that the matching efficiency of the character string can be improved greatly. When matching is carried out at the interior of each small character string, good suffix of a BM algorithm is kept unchanged, and an improved QS algorithm is combined to quickly match the character string at the same time, so that the characters as many as possible are skipped, the matching number of times is reduced, the overmatching phenomenon in the matching process is decreased and the algorithm efficiency is improved. As hashing treatment is carried out for the joints of the data blocks, the missed matching phenomenon is prevented efficiently, and the problem of missed matching rate of the character string is reduced.

Character string matching method and system

The invention provides a safety detection method The method comprises the step of calculating the Hash value of a target file, the step of obtaining a positioning sequence from the Hash value and the step of determining whether a bit position corresponding to the positioning sequence in a bit table is valid or not According to the safety detection method, the memory space occupied by the virus characteristic is greatly reduced, the operating speed of a system is improved, and the system has good expansibility

Safety detection method and safety detection device

The invention discloses a privacy protection method for Bluetooth equipment. The method comprises the steps of: storing historical connection information; receiving a RPA (Resolve Private Address) ofto-be-identified Bluetooth equipment; reading an IRK (Identity Resolving Key) from the historical connection information; based on the read IRK and the received RPA, carrying out HASH calculation to obtain a calculation result; and carrying out comparison on the calculation result and a preset HASH value to determine whether the to-be-identified Bluetooth equipment can be identified. According tothe technical scheme of the invention, the privacy of a Bluetooth equipment user can be protected, and safety of the Bluetooth equipment is improved; and by storing the historical connection information and determining the IRK on the basis of the historical connection information, identification capacity can be improved, so that communication efficiency of the Bluetooth equipment is further improved.

Privacy protection method for Bluetooth equipment

Malicious code detection method and network equipment

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Malicious code detection method and network equipment