The invention discloses a large-data-flow-based network traffic abnormality detection system and method. The large-data-flow-based network traffic abnormality detection method is characterized by comprising the following steps: acquiring network packet information in network equipment in real time in a distributed manner; transmitting the network packet information to a distributed flow processing platform in real time for network data analysis, feature matching and access counting; storing the analyzed and detected network data into a large data platform according to an abnormal status so as to facilitate clustering analysis and classified training of the network data and dynamically update a network data protocol characteristic library. Through the system and the method, real-time detection is achieved through a distributed flow-type processing mechanism; through distributed storage of the large data platform and through the data calculating and analyzing capability, the distributed storage of the network data is achieved and the network data protocol characteristic library can be trained more accurately.

Large-data-flow-based network traffic abnormality detection system and method

The invention provides a web application layer attack detection and defense method based on behavior feature matching and analysis. The method comprises the following steps of presetting a defense rule base, wherein the defense rule base comprises a plurality of defense rules; obtaining a record that the access request data in a web application protection system is matched with the defense rule base; using the record content as sample data; learning the sample data; building an analysis model; building a user credit database; installing a blacklist module in the user credit database; learning the visit behavior of the user through a analysis model; updating and correcting the defense rules in the defense rule base; building an exceptional defense rule base; setting a defense method; intercepting the user visit behavior according to the set defense method. The malicious behavior can be precisely recognized; the dynamic loading and updating can be performed in real time by the malicious act rule base; through intelligently learning the user behavior, the threat behaviors can be fast recognized and prevented; the security of a web server is guaranteed.

Web application layer attack detection and defense method based on behavior feature matching and analysis

The invention relates to the technical field of information security, in particular to a host file security monitoring and protecting method. The method is a file transparent encryption method based on a driver layer and is completely transparent to users; the users cannot sense file encryption and decryption in a use process; an application layer encryption method with higher security and quicker speed is used for assisting; and a file transparent encryption scheme based on a conventional file screening method is provided for more complicated software systems. According to the method, the process and files of a local computer are identified, and security files are automatically encrypted and decrypted, so that problems of memory mapping, file buffering and the like are solved, and the safety is increased.

Host file security monitoring method

Daemon implementing method

The invention discloses a method for realizing a daemon process based on a Linux timing task. The method comprises the following steps: configuring information of the daemon process in a configuration file of the Linux timing task; starting the daemon process by the Linux timing task according to the information of the configuration file; reading the information of the configuration file and judging if the number of the started daemon process reaches the maximum starting number set by the configuration file; checking the state of a task queue, and if the length of the task queue is more than 0, circularly and continuously reading and processing task data from the task queue by the daemon process. The daemon process provided by the invention dose not reside in the system permanently, dose not occupy system resources all the time and is started by a timing task, and enough processes can be started reasonably according to a task volume to process a to-be-processed task.

Method and system for realizing daemon process based on Linux timing task

Method for protecting Java program progress based on inheritance relationship among progresses

The invention discloses a filter drive encryption implementing method for a file system. The encryption method comprises the following steps of: 1, after a drive program is started and when an opened file is returned to an application program, acquiring the name and the size of the file; 2, judging whether the progress of opening the file is a confidential progress; 3, if the size of the file is greater than that of an encryption identification structure, reading information of the same size from the header of the file and comparing the information with the information of the encryption identification structure; and 4, when the file is read and if the file is an encrypted file, performing decryption; and when the file is returned to the application program, judging whether the original file is an encrypted file in write operation, if so, encrypting the file and storing the file into a disc file, otherwise, directly storing the file into the disc file without encryption. Compared with the conventional file filter drive, the method has the advantage that: the kernel developer of Microsoft develops a new drive which is called as a filter manager.

Filter drive encryption implementing method for file system

The invention discloses a linkable distributed network intrusion detection method based on behavior description, which achieves the real-time detection of abnormal flow in a network and timely makes a response by applying methods of the network behavior description and the feature extraction in a distributed detection system and linking with a fire wall, particularly comprising the steps of (a), a detection unit operation process and (b), a master control platform operation process: applying a detection strategy based on the behavior description on distributed detection units to effectively organize the distributed detection units to be an efficient organic whole, thus avoiding the low efficiency and the dispersibility of the existing system scheme, wherein the aim is to solve the low efficiency of the abnormal flow detection on a large network in the practical application and improve the whole detection ability and the protection effect of the detection system for the network.

Linkable distributed network intrusion detection method based on behavior description

Malicious code network attack evaluation method based on entropy method

The invention discloses a heart sound acquisition device based on a photoelectric displacement sensor Vibration displacement produced by heart sound is converted into digital signals through the photoelectric displacement sensor The device comprises a laser source (1), a wireless vibration ruler (2), the photoelectric displacement sensor (3), a fixed platform (4), a vibration film (5) and a shell (6); laser produced by the laser source is irradiated to the vibration ruler; when the film vibrates and feels heart sound signals, the vibration film vibrates together with the intensity change ofthe heart sound signals, so that the vibration ruler produces vertical displacement change; and the displacement sensor receives the change amplitude of the ruler so as to output the corresponding digital signals The data output by the photoelectric displacement sensor are transmitted to a receiving end through a wireless module The device has the advantages that: 1) the energy consumption is low; 2) the portability is high; and 3) the device is more suitable for application of Internet of things, and provides convenience for remote intelligent heart sound monitoring

Heart sound acquisition device based on photoelectric displacement sensor

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