Faculty of Computing: Recent submissions

  • Topic Extraction of Crawled Documents Collection using Correlated Topic Model in MapReduce Framework 
    Oo, Mi Khine; Khine, May Aye (International Journal on Natural Language Computing (IJNLC), 2019-12)
    The tremendous increase in the amount of available research documents impels researchers to propose topic models to extract the latent semantic themes of a documents collection. However, how to extract the hidden topics ...
  • Correlated Topic Modeling for Big Data with MapReduce 
    Oo, Mi Khine; Khine, May Aye (IEEE 7th Global Conference on Consumer Electronics (IEEE GCCE 2018), Nara, JAPAN, 2018-10)
    Efficient extraction of useful information is a rising problem in Big data, since the amount of information being gathered across various domains grows with an increasing rate. So, it takes more time to understand ...
  • Science-related Articles Recommendation System from Big Data 
    Oo, Mi Khine; Khaing, Myo Kay (14th International Conference on Computer Applications (ICCA 2016), Yangon, MYANMAR, 2016-02)
    Under the explosive increase of global data, the term Big data is mainly used to describe enormous datasets. With the availability of increasingly large quantities of digital information, it is becoming more difficult ...
  • A Study on Community Overlapping Detection Algorithms in Social Networks 
    Win, Eaint Mon; Khine, May Aye (Proceedings of the 10th International Workshop on Computer Science and Engineering (WCSE 2020), 2020-02-28)
    Community detection is one of the most important research area wherein invention and growth of social networks. Community is a set of members densely connected within a group and sparely connected with the other groups. ...
  • A Complex Polyalphabetic Cipher Technique: Myanmar Polyalphabetic Cipher 
    Aung, Tun Myat; Hla, Ni Ni (IEEE Proceeding of ICCCI 2019, 2019-09-02)
    The rapid development of electronic exchange of digital information increases the importance of information security in storage and transmission of data on public communication network. Cryptography has emerged as ...
  • A Complex Number Approach to Elliptic Curve Cryptosystems over Finite Fields: Implementations and Experiments 
    Aung, Tun Myat; Hla, Ni Ni (IEEE Proceeding of ICCCI 2019, 2019-09-02)
    Network security is a general idea to ensure information transmission over PC and portable systems. Elliptic curve cryptosystems are nowadays widely used in public communication channels for network security. Their ...
  • A Complex Transformation of Monoalphabetic Cipher to Polyalphabetic Cipher: (Vigenère-Affine Cipher) 
    Aung, Tun Myat; Naing, Htet Htet; Hla, Ni Ni (International Journal of Machine Learning and Computing, 2019-06)
    Fast progression of digital data exchange in electronic way, information security is becoming much more important in data storage and transmission on public communication networks. Cryptography has come up as a solution ...
  • Experiments on Implementation of Elliptic Curve Arithmetic over Complex Fields Using java BigInteger Class 
    Hla, Ni Ni; Aung, Tun Myat (Journal of Communications, 2019-04)
    Elliptic curve cryptosystems are nowadays widely used in public communication channels for network security. Their security depends on the complexity of solving the elliptic curve discrete logarithm problem. But, there ...
  • Attack Experiments on Elliptic Curves of Prime and Binary Fields 
    Hla, Ni Ni; Aung, Tun Myat (Advances in Intelligent Systems and Computing (IEMIS 2018 Vol. 1), 2018-12-12)
    At the beginning the paper describes the basic properties of finite field arithmetic and elliptic curve arithmetic over prime and binary fields. Then it discusses the elliptic curve discrete logarithm problem and its ...
  • A Data Confidentiality Approach to SMS on Android 
    Aung, Tun Myat; Myint, Kaung Htet; Hla, Ni Ni (Advances in Intelligent Systems and Computing (ICO 2018), 2018-09-28)
    Short Message Service (SMS) is a text messaging service component of mobile communication systems. It uses standardized communications protocols to exchange short text between mobile devices. SMS does not have any built-in ...
  • A Study of General Attacks on Elliptic Curve Discrete Logarithm Problem over Prime Field and Binary Field 
    Aung, Tun Myat; Hla, Ni Ni (International Journal of Information, Control and Computer Sciences, 2017-11)
    This paper begins by describing basic properties of finite field and elliptic curve cryptography over prime field and binary field. Then we discuss the discrete logarithm problem for elliptic curves and its properties. ...
  • Implementation of Elliptic Curve Arithmetic Operations for Prime Field and Binary Field Using java BigInteger class 
    Aung, Tun Myat; Hla, Ni Ni (International Journal of Engineering Research & Technology (IJERT), 2017-08)
    The security of elliptic curve cryptosystems depends on the difficulty of solving the Elliptic Curve Discrete Log Problem (ECDLP). Elliptic curves with large group order are used for elliptic curve cryptosystems not to ...
  • Implementation of Finite Field Arithmetic Operations for Large Prime and Binary Fields Using java BigInteger class 
    Hla, Ni Ni; Aung, Tun Myat (International Journal of Engineering Research & Technology (IJERT), 2017-08)
    Many cryptographic protocols are based on the difficulty of factoring large composite integers or a related problem. Therefore, we implement the finite field arithmetic operations for large prime and binary fields by ...
  • Nonlinear Filter Generator over Elliptic Curve 
    Aung, Tun Myat; Hla, Ni Ni (Proceeding of Symbolic Computation and Cryptolog, 2008)
    In this paper we propose the construction of nonlinear pseudorandom sequence from the group of points over an elliptic curve. This method is based on an elliptic curve (EC), a linear feedback shift register and a random ...
  • Integrating FS Tree with Clustering for Mining Frequent Web Access Patterns 
    Hlaing, Hnin Ei Ei; Khine, May Aye (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Mining frequent patterns is an important component of many prediction systems. One common usage in web applications is the mining of users’ access behavior for the purpose of predicting and hence pre-fetching the web pages ...
  • A Linear Programming Model for Optimum Resource Allocation 
    Khine, May Aye; Nu, Than Than (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    A linear programming model is built to explore the possibilities of optimizing farm returns, consider-ing crop activities for selected crop region. To deter-mine the optimum organization of crops, three dis-tricts in ...
  • Elliptic Curve Cryptosystem Based Secure Communication System 
    Linn, Naing; Khine, May Aye (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    Security aspects come into play when it is necessary or describe to protect the information transmission. The goal of cryptography is to make it possible for two people to exchange a message in such a way that other ...
  • Case-Based Reasoning System for Car Fault Diagnosis 
    Myint, Kyaw Phone; Khine, May Aye (Third Local Conference on Parallel and Soft Computing, 2009-08-03)
    Case-Base Reasoning (CBR) system is an artificial intelligent approach to learning and problem solving based on last experiences. The knowledge of case adaption is used to guide the retrieval process. Possible adaption ...
  • Mining the Classification Rules for Infectious Skin Diseases in Children 
    Myo, Nan Kathy; Khine, May Aye (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    The healthcare industry collects huge amount of healthcare data which, unfortunately, are not mine for discover relation and hidden information for effective decision making. Advance data mining techniques can help remedy ...
  • Web Document Clustering using Genetic Algorithm 
    Hein, Pyae Sandi; Khine, May Aye (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Clustering (or cluster analysis) is one of the main data analysis techniques and deals with the organization of a set of objects in a multidimensional space into cohesive groups, called clusters. Each cluster contains ...

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