• Title/Summary/Keyword: False-positive

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AN IMPROVED CONFIDENCE INTERVAL FOR THE POPULATION PROPORTION IN A DOUBLE SAMPLING SCHEME SUBJECT TO FALSE-POSITIVE MISCLASSIFICATION

  • Lee, Seung-Chun
    • Journal of the Korean Statistical Society
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    • v.36 no.2
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    • pp.275-284
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    • 2007
  • Confidence intervals for the population proportion in a double sampling scheme subject to false-positive misclassification are considered. The confidence intervals are obtained by applying Agresti and Coull's approach, so-called "adding two-failures and two successes". They are compared in terms of coverage probabilities and expected widths with the Wald interval and the confidence interval given by Boese et al. (2006). The latter one is a test-based confidence interval and is known to have good properties. It is shown that the Agresti and Coull's approach provides a relatively simple but effective confidence interval.

Design of Web based ID Traffic Analysis System (웹기반의 침입탐지 트래픽 분석 시스템 설계)

  • 한순재;오창석
    • Proceedings of the Korea Contents Association Conference
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    • 2003.11a
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    • pp.144-148
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    • 2003
  • A general administrator's response ability plunged in confusion as intrusion detection system like an existing Snort display much alert messages on administrator's screen. Also, there are some possibilities to cause false positive. In this paper, to solve these problems, we designed Web-based ID(Intrusion Detection) traffic analysis system using correlation, and implemented so that administrator can check easily whole intrusion traffic state in web which dividing into normal and intrusion traffic using Libpcap, Snort, ACID, Nmap and Nessus. As a simulation result, it is proved that alert message number and false positive rate are minimized.

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False Positive Reduction for IDS using Decision Tree (결정트리를 이용한 IDS의 False Positive 감소기법)

  • Jeong, Kyeong-Ja
    • Proceedings of the KAIS Fall Conference
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    • 2010.05a
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    • pp.455-458
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    • 2010
  • 침입탐지시스템은 공격이라고 판단되면 경보를 발생하여 보안 관리자에게 알려주거나 자체적으로 대응을 하게 된다. 그러나 이러한 경보들 중에 오경보가 많이 포함되어 있어 침입탐지시스템의 성능을 저하시킬 뿐 아니라 대량의 경보자체가 보안메커니즘에 방해가 되고 있다. 특히 오경보중 False Positive가 전체 오경보의 대부분을 차지하고 있다. 즉, False Positive는 정상 행위를 침입행위로 오인하여 판단하는 것을 의미한다. 경보들 중 이러한 오경보들은 네트워크 전반에 걸친 보안 서비스의 질을 하락시키는 원인이 된다. 따라서 침입탐지시스템의 성능향상을 위해서는 이러한 오경보 문제가 반드시 해결되어야 한다. 본 논문에서는 침입탐지시스템의 오경보를 감소시키는 결정트리 기반 오경보 분류모델을 제안하였다. 결정트리 기반 오경보 분류 모델은 침입탐지시스템의 오경보율을 감소시키고 침입탐지율을 향상시키는 역할을 수행한다는 것을 확인할 수 있었다.

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TPR-TNR plot for confusion matrix

  • Hong, Chong Sun;Oh, Tae Gyu
    • Communications for Statistical Applications and Methods
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    • v.28 no.2
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    • pp.161-169
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    • 2021
  • The two-dimensional confusion matrix used in credit assessment, biostatistics, and many other fields consists of true positive, true negative, false positive, and false negative. Their rates, such as the true positive rate (TPR), true negative rate (TNR), false positive rate, and false negative rate, can be applied to measure its accuracy. In this study, we propose the TPR-TNR plot, a graphical method that can geometrically describe and explain these rates based on the confusion matrix. The proposed TPR-TNR plot consists of two right-angled triangles. We obtain that the TPR and TNR describe the acute angles of right-angled triangles in the plot. These acute angles can be used to determine optimal thresholds corresponding to lots of accuracy measures.

A Study of Usefulness of Fine Needle Aspiration Cytology of the Thyroid Lesions (갑상선 병변의 세침흡인 세포검사의 유용성에 관한 연구)

  • Kwon, Kye-Hyun;Jin, So-Young;Lee, Dong-Wha
    • The Korean Journal of Cytopathology
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    • v.7 no.2
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    • pp.111-121
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    • 1996
  • Fine needle aspiration cytology(FNAC) is preferred because of simplicity, safety, and reliability in the evaluation of patients with thyroid nodule or hyperplasia. However, there are a few limitations such as false-negative or false-positive cases and non-diagnostic material. To evaluate the usefulness of FNAC in thyroid lesions, we reviewed 704 FNAC cases of thyroid nodules from 1988 to 1994 at Soonchunhyang University Hospital. The results are as follows. 1. Among 704 FNAC cases of thyroid gland, 571(81.1%) cases were benign, 12(1.7%) were suspicious, 71(10.1%) were malignancy, and 50(7.1%) were material insufficiency. The cytologic diagnoses of the benign lesions included 168 cases of follicular neoplasm, 139 cases of adenomatous goiter, 162 cases of follicular lesion such as follicular neoplasm or adenomatous goiter, 61 cases of Hashimoto's thyroiditis, 13 cases of subacute thyroiditis, and 28 cases of colloidal nodule or benign nodule. The malignant lesions included 68 cases of papillary carcinona, two medullary carcinomas and a case of metastatic colon cancer. 2. The average number of cytologic smear slides was $4.12{\pm}1.81$ in material insufficiency and $5.63{\pm}1.79$ in diagnostic cases. This difference was statistically significant(p<0.00001). 3. Histological assessment of 150 cases revealed 2 false negative and 1 false positive cases. The false negative cases were a case of marked sclerosis in papillary carcinoma and an occult case of papillary carcinoma. The false positive case resulted from pseudo-ground glass nuclei due to marked dry artifact. 4. Comparison between the FNAC and the histologic diagnosis revealed that FNAC had a sensitivity of 93.5%, a specificity of 99.2%, a false negative rate of 6.6%, a false positive rate of 0.8%, and an overall diagnostic accuracy of 98.0%. Therefore, FNAC of thyroid gland is a very reliable diagnostic method with excellent accuracy rate.

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A Combination of Signature-based IDS and Machine Learning-based IDS using Alpha-cut and Beta pick (Alpha-cut과 Beta-pick를 이용한 시그너쳐 기반 침입탐지 시스템과 기계학습 기반 침입탐지 시스템의 결합)

  • Weon, Ill-Young;Song, Doo-Heon;Lee, Chang-Hoon
    • The KIPS Transactions:PartC
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    • v.12C no.4 s.100
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    • pp.609-616
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    • 2005
  • Signature-based Intrusion Detection has many false positive and many difficulties to detect new and changed attacks. Alpha-cut is introduced which reduces false positive with a combination of signature-based IDS and machine learning-based IDS in prior paper [1]. This research is a study of a succession of Alpha-cut, and we introduce Beta-rick in which attacks can be detected but cannot be detected in single signature-based detection. Alpha-cut is a way of increasing detection accuracy for the signature based IDS, Beta-pick is a way which decreases the case of treating attack as normality. For Alpha-cut and Beta-pick we use XIBL as a learning algorithm and also show the difference of result of Sd.5. To describe the value of proposed method we apply Alpha-cut and Beta-pick to signature-based IDS and show the decrease of false alarms.

Investigation of False Positive Rates Newborn Screening using Tandem Mass Spectrometry (TMS) Technology in Single Center (단일기관에서 이중 질량 분석법(tandem mass spectrometry technology)을 이용한 선천성 대사이상 검사의 위양성율에 대한 연구)

  • Kim, Hyunsoo;Shin, Son Moon;Ko, Sun Young;Lee, Yeon Kyung;Park, Sung Won
    • Journal of The Korean Society of Inherited Metabolic disease
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    • v.16 no.1
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    • pp.18-23
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    • 2016
  • Objective: Newborn screening leads to improved treatment and disease outcomes, but false-positive newborn screening results may impact include parental stress and anxiety, perception of child as unhealthy, parent-child relationship dysfunction, and increased infant hospitalizations. The purpose of this study was to investigate of the false positive rates and the causative factors of false positive results in Tandem Mass Spectrometry (TMS) in single center. Methods: Records were reviewed for all 18,872 subjects who were born in Cheill General Hospital, during January 1st, 2012 to December 31st, 2014. 17,292 neonates (91.62%) were tested for tandem mass screening almost in 2-5th day of life. Newborn babies whose first results were abnormal had been tested repeatedly by same methods in 7-14 day. If the results were abnormal again, further evaluation was performed. TMS analysis included data for the 43 disorders screened for using TMS broken down into three categories: fatty acid oxidation disorders, organic acidurias, and aminoacidopathies. The impact of several factors on increased false positive rates was analyzed using a multivariate analysis: time from birth to sample collection, birth weight, birth height, BMI, gender, gestational age, delivery type. Results: Males of the subjects were 8942 (51.7%), female 8350 (48.3%), the mean gestational age was $38.6{\pm}1.7$ weeks, the average birth weight $3,155.6{\pm}502.4g$, the average birth height $49.1{\pm}2.9cm$, and the average BMI $13.0{\pm}3.8(kg/m^2)$. Vaginal delivery cases were 9713 (56.2%), caesarean section 7,579 (43.8%). The average date of the inspection was $2.8{\pm}1.1$ days. 224 cases were identified as TMS positive. All the subjects were false positive (222/17,292, 1.30%) except 2 cases (1 male; benign phenylketonuria and 1 female; Short chain acyl-CoA dehydrogenase deficiency). The false positive rates were 0.61% in fatty acid oxidation disorders, 0.25% in organic acidurias, and 0.45% in aminoacidopathies. In our study, the date of inspection got late, the false positive rates got higher. Because almost the cases of late test date were in treatment in neonatal intensive care unit so their test date was affected by their medical conditions. False positive rate was higher in extreme immaturity${\leq}27$ weeks than newborns of gestational age >27 weeks [OR=6.957 (CI=1.273-38.008), p<0.025] and extremely low birth weight<1,000 g than newborns of birthweight ${\geq}1,000g$ [OR=5.616 (CI=1.134-27.820), p<0.035]. Conclusion: False positive rate of TMS was 1.30% in Cheil General Hospital. Lower gestational age and birth weight impacted on increased false positive rates. Better understanding of factors that influence the reporting of screening tests, and the ability to modify these important factors, may improve the screening process and reduce the need for retesting. of screening tests, and the ability to modify these important factors, may improve the screening process and reduce the need for retesting.

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A Cluster-Based Top-k Query Processing Algorithm in Wireless Sensor Networks (무선 센서 네트워크에서 클러스터 기반의 Top-k 질의 처리)

  • Yeo, Myung-Ho;Seong, Dong-Ook;Yoo, Jae-Soo
    • Journal of KIISE:Databases
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    • v.36 no.4
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    • pp.306-313
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    • 2009
  • Top-k queries are issued to find out the highest (or lowest) readings in many sensor applications. Many top-k query processing algorithms are proposed to reduce energy consumption; FILA installs a filter at each sensor node and suppress unnecessary sensor updates; PRIM allots priorities to sensor nodes and collects the minimal number of sensor reading according to the priorities. However, if many sensor reading converge into the same range of sensor values, it leads to a problem that many false positives are occurred. In this paper, we propose a cluster-based approach to reduce them effectively. Our proposed algorithm operates in two phases: top-k query processing in the cluster level and top-k query processing in the tree level. False positives are effectively filtered out in each level. Performance evaluations show that our proposed algorithm reduces about 70% false positives and achieves about 105% better performance than the existing top-k algorithms in terms of the network lifetime.

Histopathologic Comparative Study of Aspiration Biopsy Cytology from 139 Thyroid Nodules (갑상선결절(甲狀腺結節)에서의 흡인세포학적(吸引細胞學的) 소견(所見)과 병리조직학적(病理組織學的) 진단(診斷)에 대한 비교연구(比較硏究))

  • Kim Kwang-Chul;Wang Hee-Jung;Suh Yeon-Lim;Chang Surk-Hyo;Lee Hyuck-Sang
    • Korean Journal of Head & Neck Oncology
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    • v.8 no.2
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    • pp.97-105
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    • 1992
  • One hundred and thirty-nine thyroid nodules were evaluated by aspiration biopsy cytology (ABC) and were compared with the postoperative histologic diagnosis during the period from May 1, 1986 through Aug. 31, 1992. The correlation betwen the two diagnoses proved to be comparable with a low incidence of false-negative diagnoses, but with a relatively high incidence of false-positive ones. The sensitivity was 93.5%, specificity 89.6%, false-negative rate 6.5%, false-positive rate 10.4%, positive predictability 87.9%, negative predictability 94.5%, and overall diagnostic accuracy 91.4%.

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A study of Intrusion Detection System applying for association rule agent (연관규칙 에이전트를 적용한 침입 탐지 시스템에 관한 연구)

  • 박찬호;정종근
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.6 no.5
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    • pp.684-688
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    • 2002
  • One of the Problems, which the Intrusion Detection System has, is a False Positive. This False make to low condition of the Intrusion Detection System. The cause of the False Positive is that the learning is not enough during audit data learning steps. Therefore, in this paper, 1 propose the method of the Intrusion Detection System that be learnt audit data to agent with association rule.