• Title/Summary/Keyword: Performance-based Statistics

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Packed PE File Detection for Malware Forensics (악성코드 포렌식을 위한 패킹 파일 탐지에 관한 연구)

  • Han, Seung-Won;Lee, Sang-Jin
    • The KIPS Transactions:PartC
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    • v.16C no.5
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    • pp.555-562
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    • 2009
  • In malware accident investigation, the most important thing is detection of malicious code. Signature based anti-virus softwares have been used in most of the accident. Malware can easily avoid signature based detection by using packing or encryption method. Because of this, packed file detection is also important. Detection methods can be divided into signature based detection and entropy based detection. Signature based detection can not detect new packing. And entropy based detection has a problem with false positive. We provides detection method using entropy statistics of entry point section and 'write' properties of essential characteristic of packed file. And then, we show packing detection tool and evaluate its performance.

SLNR-based User Scheduling in Multi-cell networks: from Multi-antenna to Large-Scale Antenna System

  • Li, Yanchun;Zhu, Guangxi;Chen, Hua;Jo, Minho;Liu, Yingzhuang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.3
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    • pp.945-964
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    • 2014
  • In this paper, we investigate the performance of Signal to Leakage and Noise Radio (SLNR) based user scheduling in uplink of multi-cell with large-scale antenna system. Large antenna array is desired to improve the performance in future system by providing better beamforming capability. However, some studies have found that the signal channel is 'hardened' (becomes invariant) when the antenna number goes extremely large, which implies that the signal channel aware user scheduling may have no gain at all. With the mathematic tool of order statistics, we analyzed the signal and interference terms of SLNR in a homogeneous multicell network. The derived distribution function of signal and interference shows that the leakage channel's variance is much more influential than the signal channel's variance in large-scale antenna regime. So even though the signal channel is hardened, the SLNR-based scheduling can achieve remarkable multiuser diversity (MUD) gain due to the fluctuation of the uplink leakage channel. By providing the final SINR distribution, we verify that the SLNR-based scheduling can leverage MUD in a better way than the signal channel based scheduling. The Monte Carlo simulations show that the throughput gain of SLNR-based scheduling over signal channel based scheduling is significant.

Effects of Simulation-Based Training on Nursing Students' Knowledge and Ability to Perform Advanced Cardiovascular Life Support (시뮬레이션기반 교육이 간호대학생의 전문심폐소생술 지식과 수행능력에 미치는 효과)

  • Oh, Ja Young;Song, Mi-Sook;Park, Jin-Hee;You, Mi-Ae
    • Journal of Korean Critical Care Nursing
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    • v.8 no.2
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    • pp.23-32
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    • 2015
  • Purpose: The purpose of this study was to analyze the effects of simulation-based training on nursing students' knowledge and ability to perform advanced cardiovascular life support. Methods: A nonequivalent control group non-synchronized design was used. The participants were, in total, 59 junior college nursing students (experimental group: 30, control group: 29). The data were analyzed with a ${\chi}^2$-test, independent t-tests, and analysis of covariance (ANCOVA) using IBM SPSS Statistics 23 program. Results: The experimental group ($80.8{\pm}8.4$), who received simulation-based advanced cardiovascular life support education, showed a higher level of knowledge of advanced cardiovascular life support than the control group ($75.0{\pm}9.9$), who received lecture-based education. In addition, the experimental group ($106.4{\pm}11.9$) showed a higher level of ability to perform advanced cardiovascular life support than the control group ($86.5{\pm}9.9$). Conclusion: Simulation-based advanced cardiovascular life support education was more effective for increasing the knowledge and performance ability of college students than lecture-based education. Therefore, simulation-based training should be used to improve the knowledge and ability of nursing students and should be applied with reinforced systematic education programs.

A Study on Malware Identification System Using Static Analysis Based Machine Learning Technique (정적 분석 기반 기계학습 기법을 활용한 악성코드 식별 시스템 연구)

  • Kim, Su-jeong;Ha, Ji-hee;Oh, Soo-hyun;Lee, Tae-jin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.29 no.4
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    • pp.775-784
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    • 2019
  • Malware infringement attacks are continuously increasing in various environments such as mobile, IOT, windows and mac due to the emergence of new and variant malware, and signature-based countermeasures have limitations in detection of malware. In addition, analytical performance is deteriorating due to obfuscation, packing, and anti-VM technique. In this paper, we propose a system that can detect malware based on machine learning by using similarity hashing-based pattern detection technique and static analysis after file classification according to packing. This enables more efficient detection because it utilizes both pattern-based detection, which is well-known malware detection, and machine learning-based detection technology, which is advantageous for detecting new and variant malware. The results of this study were obtained by detecting accuracy of 95.79% or more for benign sample files and malware sample files provided by the AI-based malware detection track of the Information Security R&D Data Challenge 2018 competition. In the future, it is expected that it will be possible to build a system that improves detection performance by applying a feature vector and a detection method to the characteristics of a packed file.

Test of Hypothesis in Assessing Process Capability Index Cpmk (공정능력지수 Cpmk를 평가함에서의 바람직한 가설검정)

  • Cho, Joong-Jae;Yu, Hye-Kyung;Hana, Jung-Su
    • Communications for Statistical Applications and Methods
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    • v.17 no.3
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    • pp.459-471
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    • 2010
  • Higher quality level is generally perceived by customers as improved performance by assigning a correspondingly higher satisfaction score. Usually, the quality level is measured by process capability indices. The index is used to determine whether a production process is capable of producing items within a specified tolerance. The third generation index $C_{pmk}$ is more powerful than two useful indices $C_p$ and $C_{pk}$. which have been widely used in six sigma industries to assess process performance. Most evaluations on process capability indices focus on point estimates, which may result in unreliable assessments of process performance. In this paper, we consider better testing procedure on assessing process capability index $C_{pmk}$ for practitioners to use in determining whether a given process is capable. It is easy to use the proposed method for assessing process capability index $C_{pmk}$. Whether a process is clearly normal or nonnormal, our bootstrap testing procedure could be applied effectively without the complexity of calculation. A numerical result based on our proposed method is illustrated.

More effective application of importance-performance analysis in the case of cyber lecture (중요도-실행도 분석의 효율적 활용에 대한 연구 - 온라인 수능강의에 대한 사례 연구)

  • Pak, Ro-Jin
    • Journal of the Korean Data and Information Science Society
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    • v.20 no.2
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    • pp.329-338
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    • 2009
  • The importance performance analysis is a simple and condensed analytic method for decision making based on the level of performance or satisfaction. Many researches already have witnessed usefulness of the importance performance analysis, but it also has some drawbacks from the statistical points of view. In this article, some additional techniques dealing the importance performance analysis are introduced and it is shown that these techniques would turn out to be very informative. The importance performance analysis uses the arithmetic average as the main statistic, but by the use of the median, the frequency and the cluster analysis it is shown that the importance performance analysis can be carried out with more crucial information. In addtion to that, it is demonstrated that the combination of the analytic hierarchy process and importance performance analysis could enable more reliable decision making.

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Task Analysis of Korean Transplantation Nurse Practitioner (장기이식 전문간호사의 직무분석)

  • 변수자;김희경;김애리;하희선;전경옥
    • Journal of Korean Academy of Nursing
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    • v.33 no.2
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    • pp.179-188
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    • 2003
  • Purpose: This study was designed to create the job description of Korean transplantation nurse practitioner and examine performance frequencies, criticality, and difficulties of task elements. Method: The sample consisted of 63 nurses and coordinators who performed duties related to transplantation at medical center in Korea. A survey method was used, and the questionnaire included frequencies, criticality, and difficulties of task elements in job description by the DACUM method. Using SPSS WIN 10.0, descriptive statistics such as frequency distribution, means, and standard deviations were conducted to examine the subject's general characteristics, the frequencies, criticality, and difficulties of task performance. Result: The job description of transplantation nurse practitioners revealed 5 duties, 22 tasks, and 85 task elements. On the all five duties, the averages of the performance frequency, criticality, and difficulty were 2.41, 3.38, and 2.78, meaning that the respondents rarely perform the 5 duties, but consider them critical and easy to perform. Conclusion: The job description of the transplantation nurse practitioner included duty, task, and task element and definition of job completed. Thus we recommended a data based trial to confirm and validate the information gathered.

The Effects of R&D Investment on Managerial Performance by Manufacturing Sector : Focused on Sales and Patent (제조 산업별 연구개발 투자가 경영성과에 미치는 영향 : 매출액과 특허를 중심으로)

  • Cho, Hwihyung
    • The Journal of the Korea Contents Association
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    • v.14 no.11
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    • pp.893-904
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    • 2014
  • This study is designed to analyze the status of R&D investment and managerial performance related to the domestic manufacturing. To accomplish the purpose of the study, We have regression analyzed 6,054 companies based on the data of 'Business Activity Survey' disclosed by Statistics Korea. Result of the study are as follows. First, electronics, IT, and auto industry account for 25.6% of the country's manufacturing companies and take up 75.8% of the total R&D funding for the manufacturing industry. Second, R&D funding exercises positive influence on sales and the number of registered patents, which last exerts positive influence on sales.

The performance analysis of SA fitters for images corrupted by biased noise (비대칭 노이즈 영상에서 SA 필터의 성능 분석)

  • Song, Jong-Kwan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.2
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    • pp.362-368
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    • 2009
  • The SA filters encompass a large class of filters based on order statistics as well as linear FIR filters. The class of SA filters is defined as a multi-stage filters whose output is linear combination of nonlinear(minimum, maximum, exclusive-OR) sub-filter outputs. According to the lust stage nonlinear sub-filters, SA filters are called SAMAX, SAMIN, and SAXOR filters. In this paper, optimal SAMAX and SAMED filters are designed for images corrupted by biased noise. The performance analysis of this experiment shows that SAMAX filters outperforms SAMED filters for biased noise. In the case of un-biased noise, the SAMAX and SAMED filters give the same performance. This result leads us to a new guideline in the application of SA filters.

The Relationship between Autonomy and Achievement Motivation of University Players (대학선수들의 자율성과 성취동기와의 관계)

  • Hwang, Sung-Geun
    • Journal of Digital Convergence
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    • v.14 no.3
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    • pp.465-471
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    • 2016
  • This study intends to figure out the relationship between autonomy and achievement motivation of the university players. For this purpose, Survey was performed to Seoul and Metropolitan area's 25 sports 396 Players., And using SPSS 18 and AMOS program descriptive statistics, exploratory factor analysis, confirmatory factor analysis, reliability analysis were conducted. Based on purified data through the process, the relationship between autonomy and achievement motivation was verified with correlation analysis and regression analysis. As a result, autonomy was recognized by male player higher than female player, and in goal-orientation of the access tendency of achievement goal orientation, male player showed higher scores. And in mastery-avoidance of avoidance, female player showed higher scores and in performance-avoidance, male player showed higher scores. According to regression analysis, autonomy affects mastery-approach and achievement goal orientation of the performance-approach.