• Title/Summary/Keyword: Shannon entropy

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Accuracy Enhancement of Determining File Encryption Status through Divided Shannon Entropy (분할된 Shannon 엔트로피 값을 이용한 파일 암호화 판별 정확성 향상에 대한 연구)

  • Ko, Ju-Seong;Kwak, Jin
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.10a
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    • pp.279-281
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    • 2018
  • 랜섬웨어는 사용자의 중요 파일을 암호화한 후 금전을 요구하는 형태의 악성코드로, 전 세계적으로 큰 피해를 발생시켰다. 안드로이드 환경에서의 랜섬웨어는 앱을 통해 동작하기 때문에, 앱의 악의적인 암호화 기능 수행을 실시간으로 탐지할 수 있는 방안에 대한 연구들이 진행되고 있다. 자원 제한적인 안드로이드 환경에서 중요한 파일들에 대한 암호화 수행 여부를 실시간으로 탐지하기 위한 방안으로 Shannon 엔트로피 값 비교가 있다. 하지만 파일의 종류에 따라 Shannon 엔트로피 값이 크게 달라질 수 있으며, 암호화 기능 수행에 대한 오탐이 발생할 수 있다. 따라서 본 논문에서는 파일에 대한 분할된 Shannon 엔트로피 값을 측정하여 암호화 기능 수행 탐지의 정확성을 높이고자 한다.

A REFINEMENT OF THE JENSEN-SIMIC-MERCER INEQUALITY WITH APPLICATIONS TO ENTROPY

  • Sayyari, Yamin
    • The Pure and Applied Mathematics
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    • v.29 no.1
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    • pp.51-57
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    • 2022
  • The Jensen, Simic and Mercer inequalities are very important inequalities in theory of inequalities and some results are devoted to this inequalities. In this paper, firstly, we establish extension of Jensen-Simic-Mercer inequality. After that, we investigate bounds for Shannons entropy of a probability distribution. Finally, We give some new applications in analysis.

A Study on Edge Detection of Fuzzy Entropy using Variable Length (가변길이에 따른 Fuzzy Entropy의 외곽선 검출에 관한 연구)

  • Park, In-Kue;Pak, Hyeon-Cheol
    • Journal of Digital Contents Society
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    • v.9 no.2
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    • pp.357-362
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    • 2008
  • The new approach was proposed which uses Shannon function based on variable length in order to detect the edges of image. The proposed casted the detection of edges in images on the space information of the images. In addition the algorithm which measures the possibility of edges was proposed. Lots of simulations showed that the approach in this paper was more good than the conventional methods in detecting meaningful discontinuities in gray level.

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Application of information theory to wireless cooperative communications (정보이론의 협력무선통신에의 응용)

  • Kim, Yoon-Hyun;Yang, Jae-Soo;Ha, Kwang-Jun;Kim, Jin-Young
    • 한국정보통신설비학회:학술대회논문집
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    • 2009.08a
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    • pp.337-343
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    • 2009
  • Information theory is one field of the applied mathematics quantitating the data in order to store data as many as in the medium or communicate through channel. it was released on the Shannon's paper, in 1948. With basis on this paper, It has been achieved dramatically development for communication, signal processing, and date procedure and transmission in the network In this paper, the basic concept of information theory is described through dealing with contents about meaning of information, entropy, and channel capacity. It is also handled how information theory is applied to the fields of sensor network, relay channel, MIMO system, and others.

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Evaluation of Polarimetric Parameters for Flood Detection Using PALSAR-2 Quad-pol Data

  • Jung, Yoon Taek;Park, Sang-Eun;Baek, Chang-Sun;Kim, Dong-Hwan
    • Korean Journal of Remote Sensing
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    • v.34 no.1
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    • pp.117-126
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    • 2018
  • This study aims to evaluate the usability of polarimetric SAR measurements for discriminating water-covered area from other land cover types and to propose polarimetric parameters showing the better response to the flood. Flood-related changes in the polarimetric parameters were studied using the L-band PALSAR-2 quad-pol mode data acquired before and after the severe flood events occurred in Joso city, Japan. The experimental results showed that, among various polarimetric parameters, the HH-polarization intensity, the Shannon entropy, and the surfaces scattering component of model-based decomposition were found to be useful to discriminate water-covered areas from other land cover types. Particularly, an unsupervised change detection with the Shannon entropy provides the best result for an automated mapping of flood extents.

SOME GENERALIZED SHANNON-MCMILLAN THEOREMS FOR NONHOMOGENEOUS MARKOV CHAINS ON SECOND-ORDER GAMBLING SYSTEMS INDEXED BY AN INFINITE TREE WITH UNIFORMLY BOUNDED DEGREE

  • Wang, Kangkang;Xu, Zurun
    • Journal of applied mathematics & informatics
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    • v.30 no.1_2
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    • pp.83-92
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    • 2012
  • In this paper, a generalized Shannon-McMillan theorem for the nonhomogeneous Markov chains indexed by an infinite tree which has a uniformly bounded degree is discussed by constructing a nonnegative martingale and analytical methods. As corollaries, some Shannon-Mcmillan theorems for the nonhomogeneous Markov chains indexed by a homogeneous tree and the nonhomogeneous Markov chain are obtained. Some results which have been obtained are extended.

Efficiency Analysis of ASEAN Ports Using DEA & Shannon's Entropy (DEA결합모형을 활용한 아세안(ASEAN)지역 항만의 효율성 분석)

  • Park, Seonyoul;Kim, Sangyoul;Park, Ho
    • Journal of Korea Port Economic Association
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    • v.33 no.4
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    • pp.1-16
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    • 2017
  • The total container throughput of ASEAN is expected to increase continuously with economic development. However, ASEAN port infrastructure is insufficient to handle the increasing trade volume. According to the World Economic Forum, ASEAN ports except Singapore and Malaysia are ranked in low. Participation in ASEAN port development projects can lead an increase in trade efficiency with S. Korea by improving the port infrastructure of ASEAN countries. In addition, the S. Korean port-related industry can be energized through entering ASEAN port development projects. This study, which measures the efficiency of ASEAN ports, can be used as a basic guideline for the development and the planning of the ports. This study used Data Envelopment Analysis(DEA) and Shannon's Entropy model together to measure ASEAN ports' efficiency. After measuring each DEA (CCR, I-BCC, O-BCC, SBM) weight, the efficiency of ASEAN ports is measured as reflecting each DEA weight. As a result, the ports of Singapore and Malaysia, the major ports in the world, have the highest efficiency. Further, Vietnamese ports need to raise efficiency along with increasing container throughput. Leam Chabang (Thailand), Ho Chi Minh City (Vietnam), and Tanjung Priok (Indonesia) exhibit a negative correlation between container throughput and efficiency; therefore, the ports need to improve so as to maintain competitiveness. Lastly, Cambodia, Myanmar, and Brunei, which do not have active economic development, need to improve their ports for economic development.

Chaotic Time Series Prediction using Extended Fuzzy Entropy Clustering (확장된 퍼지엔트로피 클러스터링을 이용한 카오스 시계열 데이터 예측)

  • 박인규
    • Proceedings of the IEEK Conference
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    • 2000.06c
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    • pp.5-8
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    • 2000
  • In this paper, we propose new algorithms for the partition of input space and the generation of fuzzy control rules. The one consists of Shannon and extended fuzzy entropy function, the other consists of adaptive fuzzy neural system with back propagation teaming rule. The focus of this scheme is to realize the optimal fuzzy rule base with the minimal number of the parameters of the rules, reducing the complexity of the system. The proposed algorithm is tested with the time series prediction problem using Mackey-Glass chaotic time series.

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Imge segmentation algorithm using an extended fuzzy entropy (확장된 퍼지 엔트로피를 이용한 영상분할 알고리즘)

  • 박인규;진달복
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.6
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    • pp.1390-1397
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    • 1996
  • In this paper, in case of segmenting an image by a fuzzy entropy, an image segmentation algorithm is derived under an extended fuzzy entropy including the probabilistic including the probabilistic information in order to cover the toal uncertainty of information contained in fuzzy sets. By describing the image with fuzzysets, the total uncertainty of a fuzzy set consists of the uncertain information arising from its fuzziness and the uncertain information arising from the randomness in its ordinary set. To optimally segment all the boundary regions in the image, the total entropy function is computed by locally applving the fuzzy and Shannon entropies within the width of the fuzzy regions and the image is segmented withthe global maximum andlocal maximawhich correspond to the boundary regions. Comtional one by detecting theboundary regions more than 5 times.

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