31 results about "False positive paradox" patented technology

A system and method for analyzing Intrusion Detection System (IDS) alert data associated with a computer network is described. The method includes applying first association rules to obtained IDS alert data associated with a computer network and processing the obtained IDS alert data with the first association rules. Analyst feedback data associated with the processed obtained IDS alert data is received, and a training data set from the analyst feedback data is received. New association rules are determined based upon the training data set, and the new association rules are outputted to a display of a computing device. Outputting the new association rules may include outputting patterns within the IDS alert data of false positive alerts. The new association rules may be applied back to the obtained IDS alert data.

A system that investigates, identifies and cancels fraudulent transactions comprises a fraud detection server that receives a first dataset indicating a quantity of fraud-transactions. The first dataset is generated at least in part by a fraud-score model. The system receives a second dataset including a quantity of false positive fraud-transactions from the fraud transactions. The system calculates a fraud error rate using the quantity of fraud-transactions and the quantity of false positive fraud-transactions. The system generates a new fraud-score model when the fraud error rate exceeds a predefined error rate.

This disclosure relates to service discovery using a dynamically configurable Bloom filter. According to some embodiments, various parameters of the Bloom filter may be determined by a first wireless device. The parameters may include a number of services advertised using the Bloom filter, a false positive rate of the Bloom filter, a set of hash functions used with the Bloom filter, and/or a size of the Bloom filter. The Bloom filter may be generated according to the determined parameters. The Bloom filter, along with some or all of the parameters of the Bloom filter, may be transmitted by the first wireless device. A second wireless device may use the Bloom filter as part of a service discovery process to determine whether or not a desired service is available via the first wireless device.

The invention provides an intrusion detection method, electronic equipment and a computer storage medium, and belongs to the technical field of computer information security. The intrusion detection method includes the steps that to-be-detected logs are obtained; through a pre-trained intrusion detection model, the to-be-detected logs are subjected to intrusion detection; the intrusion detection model is obtained according to overall characteristics and personal characteristics of log samples. The intrusion detection model is pre-trained according to the overall characteristics and the personal characteristics of the log samples, the to-be-detected logs are subjected to intrusion detection through the intrusion detection model, the false positive rate and the false negative rate when hacker attack detection is carried out can be effectively reduced, and hacker-attack intrusion detection is more accurate.

The invention discloses a system that can intelligently drive down false positive rates with regard to identification and/or classification of spam correspondence. Authentication information from sending domains can be stored and used to establish confidence and drive down the false positives related to acceptance and/or classification of communications. A correspondent database of known correspondents can be constructed using the authenticated information. Accordingly, decisions (e.g., white and black list) can be better informed by employing relationship and correspondent communication pattern data which is maintained within the correspondent database.

The invention discloses an S100 family-based acute pancreatitis severity prediction model and detection method thereof, and belongs to the technical field of acute pancreatitis detection. The acute pancreatitis severity prediction model is established by utilizing S100A6, S100A8, S100S9, S100A11, S100A12 and S100P in the S100 protein family; and for severe acute pancreatitis, the prediction modelhas a diagnosis sensitivity of 92.30%, a specificity of 84.70%, a false positive rate of 15.30% and a false negative rate of 7.70%. Compared with the present clinically used scale detection and imaging diagnosis, the prediction model has reduced subjectivity, is more correct and has a quantitative detection effect.

The invention discloses a method for researching spacecraft trajectory safety criteria based on misjudgment rate. The method specifically includes: (1) establishing the safe set and non-safe set of the trajectory safety problem through the general model of the trajectory safety problem; (2) establishing the misjudgment rate through the concepts of the safe set and the non-safe set; (3) using The false positive rate is used to modify the trajectory safety criterion. This method can effectively solve the probability dilution phenomenon in the trajectory safety problem, and can solve the problem of large deviation at the edge of the probability density function to a certain extent. It provides a set of judgment and improvement methods for the judgment criteria of the trajectory safety problem, making Judgment criteria can more realistically reflect the actual collision situation.

The invention discloses a chromosome abnormality detection device. Aiming at solving the problems that conventional chromosome abnormality detection and analysis are based on a reads number statistical model, can only remove duplicate reads compared in the same initial position of a genome but cannot remove mutually overlapped reads with different initial positions, the device can effectively remove the duplicate reads and overlapping areas caused by amplification preference of a whole genome of a single cell by introduction of a sequence coverage statistical model, data uniformity is remarkably improved, then data noise is reduced, detection rate of positive specimens is increased, and false positive rate is reduced.

The invention provides a zopiclone tablet rapid identification method based on a near infrared spectrum. The zopiclone tablet rapid identification method comprises the following steps: firstly, acquiring an original graph and pre-processing the original graph; modeling by adopting two instruments, and identifying by one instrument, thus realizing modeling and identifying a spectrum by using the instruments; and carrying out a qualification test on near infrared diffuse reflection spectrums of a plurality of batches of dynamic production samples by using a model so as to judge whether medicines are counterfeited or not. After the model is established, a negative sample and a positive sample are used for testing the stability of the model respectively; and when the result is that the passing rate of the positive sample is 100% and the negative sample does not pass, the false positive rate and the false negative rate of the model are relatively low, the method is suitable for market rapid checking and the result is reliable. A rapid quality identification and evaluation method for zopiclone tablets which are produced by Qilu Pharmaceutical Co.,Ltd. and are packaged by an aluminum-plastic plate is established, the detected sample does not need to be subjected to complicated pre-treatment, and the sample is not damaged and polluted; and a lot of analysis time and cost can be saved, and the method is a convenient, rapid and lossless green analysis technology.

The invention discloses an Android application permission overflow vulnerability detection and malicious behavior identification method. According to the method, a static analysis method and a stringanalysis method are adopted, program points which use permissions in an APP are taken full account of, and an upper bound of an actual permission using set of an Android APP is accurately and effectively extracted to reduce permission overflow false positive rate; actual using permissions are taken as characteristics to describe behavioral characteristics of the APP more accurately, and an APP malicious behavior classifier with high accuracy and low false positive rate is constructed on the basis.

The invention provides a Bionano platform-based long tandem repeat sequence detection method. According to the method, by building a naive Bayesian classifier machine learning model, Bionano data is filtered to remove false positive errors of insertion and deletion sites, and based on a comparison algorithm, long tandem repeat unit counting is realized, so that the consumption of running time andcomputing resources is reduced. In addition, sample genotypes can be determined as homozygotes, heterozygotes or chimeras in combination with a clustering analysis algorithm and repeat unit numbers onreads.

The invention discloses a detection reagent combination and a detection method for aquatic product additives. An aqueous solution of acetonitrile containing nitrofuran metabolites is used as a reference substance; a methanol mixture containing a methanol solution of 2-nitrobenzaldehyde and an aqueous solution of hydrochloric acid is used as a derivatizing agent; and a liquid chromatography-tandemmass spectrometry method is used for detection. The detection reagent combination provided by the invention can simultaneously analyze additives in aquatic products, and has the widest detection range; a scheme of simultaneous derivatization of protein precipitates is adopted in sample treatment to directly derivatize, purify and enrich the nitrofuran metabolites in biological samples and shortenthe derivatization time of a traditional method from 16 h to 10-20 min; and the detection method using the reagent combination is simple, accurate, rapid, stable, free from enzymatic conversion and other complicated steps, free from interference of endogenous substances on detection results, low in false negative rate and false positive rate, low in reagent cost, and suitable for rapid analysis ofa large number of samples.

Disclosed herein is an Intrusion Detection System (IDS) false positive detection apparatus and method. An IDS false positive detection apparatus includes a payload extraction unit for extracting payloads by dividing each packet corresponding to an IDS detection rule into a header and a payload. A false positive payload information generation unit generates false positive payload information required to identify a false positive payload by extracting a payload of a false positive packet based on results of packet analysis received from a manager. A false positive payload determination unit transmits results of a determination of whether each payload extracted by the payload extraction unit corresponds to a false positive payload, based on the false positive payload information, to the manager.

The invention relates to a screening method for fast and effectively reducing the false positive rate of a peanut genetic transformation plant. The screening method comprises the following steps of: (1) preparing a bacteria solution to be transformed; (2) preparing a transformed hypocotyledonary axis; (3) initially screening a plant bud; (4) moderately screening the plant bud; (5) deeply screening the plant bud; and (6) culturing the deeply screened plant bud to prepare a transformation plant. The screening method disclosed by the invention can be used for removing a majority of cluster buds which are not successfully transformed at the initial stage of cluster bud induction in a screening mode of sequentially increasing screening pressure, and a part of albescent false positive plants can be removed in each subculture, thereby saving the time, greatly reducing the later workload and ensuring that the majority of finally obtained green plants are real positive plants.

The invention discloses a significance analysis method. A p value and a p (k) value are obtained through utilizing fisher accurate checking and x2 checking respectively; an FDR (False Positive Rate) of a pathway is determined through a plurality of times of comparing and checking. Under the condition of a small sample, differential gene screening is carried out through commonly utilizing t checking or F checking of a random variance model; with regard to two types of differential genes, the difference is identified by adopting the t checking. In order to reduce differential screening errors caused by the small sample, two groups are compared through utilizing T checking revised by the random variance model to calculate a significance level and the false positive rate between the genes, so that the differential genes are obtained; the method has the characteristic of high accuracy and is suitable for popularization and application.

The invention provides a blood culture bottle. The blood culture bottle comprises a culture bottle body, a sensing layer, adsorbent resin and a culture medium, wherein the sensing layer comprises a fluorescent substance and a substrate; the fluorescent substance comprises an rhodamine pH fluorescent probe, namely an Rh-pH fluorescent probe containing a glutamic acid structure; the structural general formula of the Rh-pH fluorescent probe is shown as I. The blood culture bottle provided by the invention has the following technical effects that firstly, the fluorescent substance in the blood culture bottle is more stable and is not easy to quench, so that the probability that false negative or false positive appears in the diagnostic process is remarkably reduced; in addition, the fluorescent substance can endure high temperature of 121DEG C or over 121DEG C; a product can be subjected to autoclave sterilization at last; secondly, compared with a foreign imported product, the blood culture bottle disclosed by the invention is higher in sensitivity; results of the same positive specimen can be detected in a shorter time.

The invention discloses a polymerase chain replacement reaction detection method of candidatus liberibacter asiaticus and belongs to the technical field of molecular biology. The method includes the following steps that firstly, DNA of citrus plant leaf midrib tissue is extracted; secondly, primers are designed and synthesized, the sequence of the upstream primer is 5'-TGTCCATATGATCTTCGATAATGCGA-3', and the sequence of the downstream primer is 5'-AGGGTGGATTAGATCGTTTTCTCTCAA-3'; thirdly, a polymerase chain replacement reaction is performed; fourthly, a result is judged. The detection method is high in detection sensitivity, good in specificity, low in false positive rate, easy to operate, broad in market prospect and suitable for large-scale application.