8 results about "Interval Sequence" patented technology

The application relates to the field of computer data processing and discloses a traffic automatic playback method for software testing, which comprises the following steps: obtaining software traffic data and obtaining data packets and time intervals in the software traffic data; according to interval values and time sequence distribution relationships of the time intervals, a first category is obtained through multi-threshold segmentation, a third category is obtained through threshold segmentation of the first category, and all intervals except the third category in a time interval sequence are classified into a fourth category; a first compression rate of each interval in the fourth category is obtained, and a second compression rate of each interval in the third category is obtained; a correction coefficient is obtained according to the number of elements of the first category to which each interval in the fourth category belongs and packet values of adjacent data packets, and a third compression rate is obtained; and the traffic data is compressed and automatically played back according to the obtained compression rates. The application aims to solve the problems that the existing equal compression of time intervals between data packets leads to packet loss and large differences between traffic data before and after compression.

The invention relates to the technical field of data security, in particular to a security operation method and system based on multi-agent collaboration, and the method comprises the steps: intercepting and capturing a TLS length and a time interval sequence of an encrypted session by using an edge-aware agent, constructing a spatio-temporal topology embedding vector based on a linear visibility criterion and a graph attention mechanism, and constructing a spatial-temporal topology embedding vector; and the flow agent maps the vector into a Gaussian distribution parameter to generate a token adjustment coefficient, dynamically adjusts the token bucket frequency and executes asynchronous delay shaping by using a time wheel, and the reflection agent combines a flow confusion escape rate and a processing delay index to carry out closed-loop updating on model parameters through a strategy gradient algorithm. According to the invention, adaptive defense of the encrypted covert channel is realized through dynamic traffic shaping.

The present application relates to the technical field of test regulation for 5G terminal, and discloses a test regulation system and method for 5G terminal. After the service plane data of UE-base station connection is established, the test parameters and the loop variable are initialized, the throughput rate is collected point by point according to the current sampling interval, and the network state is accurately captured. The mean and standard deviation of the window sample are calculated, the fractional derivative order is adaptively determined according to the mean and standard deviation, the fractional derivative sequence is calculated by using the fractional binomial coefficient, the standard deviation of the sequence is mapped to the local fluctuation, which is used as the closed smooth reconstruction weight, and the smooth throughput rate is quickly output. Based on the smooth result and the fluctuation, the next window sampling interval and starting time are adaptively adjusted: when the network is stable, the interval is lengthened to save resources, and when the fluctuation is severe, the interval is shortened to improve the sampling density; finally, the test is automatically terminated according to the end condition, and the smooth throughput rate and the adaptive sampling interval sequence are output.

The invention belongs to the technical field of e-commerce, data analysis and platform supervision, and provides a scalping behavior analysis method and system, and the method specifically comprises the steps: arranging a customer service interactive collection and unified coding scene, recognizing a merchant code from the scene, collecting an adjacent reply time interval sequence of a session and a customer service reply field sequence for each merchant according to the merchant code, and carrying out the collection of the adjacent reply time interval sequence and the customer service reply field sequence; the method comprises the steps of firstly obtaining a reply field sequence, then obtaining a rhythm index based on the adjacent reply time interval sequence, obtaining a process transfer index based on the customer service reply field sequence, finally obtaining a scalping homogeneous volume through the rhythm index and the process transfer index, and judging whether a merchant carries out a scalping behavior or not according to the scalping homogeneous volume. In combination with the characteristics that the manual service is influenced by information retrieval and input time delay, the beat is discrete and multi-peak, and the flow path is multi-path walk, and the characteristic that the script beat converges and the path multiplexing is stable and homogeneous, the difference quantification of normal customer service and scalping scripting group control behaviors is realized at the merchant level, and the merchant management efficiency is improved.

This invention belongs to the fields of e-commerce, data analysis, and platform monitoring technology. It proposes a method and system for analyzing fraudulent order behavior. Specifically, it involves: deploying a customer service interaction collection and unified coding scenario to identify merchant codes; collecting adjacent response time interval sequences and customer service response field sequences for each merchant based on their codes; obtaining rhythmic indicators based on the adjacent response time interval sequences and process transition indicators based on the customer service response field sequences; and finally obtaining the homogeneous product of fraudulent order behavior through the rhythmic and process transition indicators. The homogeneous product of fraudulent order behavior is then used to determine whether a merchant is engaging in fraudulent order behavior. This invention combines the characteristics of human service—affected by information retrieval and input delays, resulting in discrete, multi-peaked rhythms and multi-path processes—with the stable, homogeneous form of scripted rhythm convergence and path reuse. At the merchant level, it achieves the quantification of differences between normal customer service and scripted group control behavior for fraudulent orders, improving merchant management efficiency.

The invention discloses a network security analysis system and method based on artificial intelligence, and relates to the technical field of network security, and the method comprises the steps: calculating an opposite-end clock rate sequence based on a message arrival interval sequence and a timestamp increment sequence of a target encrypted session; carrying out detrending processing on the sequence to obtain a clock rate micro-drift sequence; determining a warming resonance index based on the micro-drift sequence and the arrival interval sequence; determining whether the session is suspicious by combining the index setting threshold value of the historical normal session; and executing key refreshing, channel pause and evidence packet generation according to a judgment result. According to the method and the device, the abnormal state of the encrypted session can be accurately identified under the condition that the message is not decrypted.

The invention provides a self-adaptive control method and system for hearth outlet pressure of a circulating fluidized bed boiler, and relates to the technical field of pressure control. The method comprises the steps that multiple historical operation samples are obtained by collecting historical operation data; a fixed load interval sequence is predefined for load interval grouping processing, and multiple groups of sample points are obtained; a least square method is adopted to fit a linear model to solve PID parameters, and multiple groups of load case points are obtained; performing associated storage to complete construction of a load case library; case matching retrieval is carried out, and if the same load value exists, K same load case points are returned; executing arithmetic mean value, and outputting real-time optimization parameters; and the pressure is sent to the PID controller to execute hearth outlet pressure control. The technical problems that in the prior art, boiler furnace outlet pressure control is generally based on preset static parameters, PID parameters cannot be updated in real time according to changes of different working conditions, the boiler efficiency is reduced, and even the equipment overpressure risk occurs are solved.

The invention provides a state reporting method, which comprises the following steps of: determining a serial number of a lost data packet as a first serial number when a current terminal starts to find that the data packet is lost in a receiving process, and determining a maximum serial number of the data packet received by the current terminal as a second serial number; obtaining the number m of bits capable of being filled in each row in the status report message; obtaining the total number n of a plurality of serial numbers after the first serial number and before the second serial number, and obtaining the multiple relation between the total number n and the bit number m; and according to the multiple relationship, filling an indication field of a first region in the status report, a complete interval serial number response result mapping field of a second region and a first non-response serial number field corresponding to an incomplete interval serial number of a third region. According to the invention, the packet loss state can be flexibly represented, the transmission efficiency is improved, and the occupancy rate of air interface resources is reduced.