Faculty of Information Science: Recent submissions

  • Hybrid Intrusion Detection System Design for Advanced Threats 
    Htwe, Thet Thet; Kham, Nang Saing Moon (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Due to the increase in the use of internet and rise in number of network attacks, intrusion detection has become significant research issue. The objective of this work is to propose a hybrid intrusion detection system ...
  • An Approach for Automate Requirements Elicitation Using Use Case Models 
    Han, Wai Wai; Oo, Khine Khine (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Requirements elicitation is vital importance in system development process. While doing software system development, the stakeholders can’t states real and nearly complete requirements because they might not know what ...
  • Comparative Study of Big Data Predictive Analytics Frameworks 
    Win, Nay Aung Soe; Thwin, Mie Mie Su (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Big data in terms is the huge volume of data that is difficult to be processed, handled and managed. The term big data is an emerging trend where a number of researches and data scientists are carried out for data ...
  • SEC: Security Control System for the Integration of Mobile Agent and Web Services based on Certificateless Cryptography and Two Party Hashing Key Agreement Protocol 
    Win, Ei Khaing; Thwin, Mie Mie Su (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Security is a major concern for wide applications in large hostile networks like internet. More and More people are willing to access information anytime and anywhere. The advances in mobile devices and wireless networks ...
  • Implementing the Update Propagation Strategies on Replicated Database 
    Mon, Su Su; Oo, Khine Khine (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    A distributed database is a database with its data elements stored at several sites of a computer network. Certain data items may be redundantly stored at more than one site for reliability reasons. A replicated database ...
  • Analyzing Transaction database using Fast Online Dynamic-Growth (FOLD-growth) algorithm 
    Hlaing, May Me Me; Kham, Nang Saing Moon (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Data mining is the process of analyzing large data sets in order to find patterns. Mining frequent patterns is a fundamental and crucial task in data mining problems. The association rule mining is needed in order to ...
  • Implementation Of Web Usage Mining Using Log Markup Language (LOGML) and Closed Association Rule Mining Algorithm (CHARM) 
    Mhon, Gant Gaw Wutt; Kham, Nang Saing Moon (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Web usage mining is the discovery of user access patterns from Web usage logs. The paper presents two XML (Extensible Markup Language) 1.0 applications and a web data mining application which utilizes it to extract web ...
  • Proposed ApplicableFramework for Extracting Rootkits Features and Clustering through Dynamic Analysis for Incident Handling Systems 
    San, Cho Cho; Thwin, Mie Mie Su (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Today’s threats have become complex multi-module systems using sophisticated techniques to target and attack vulnerable systems. The use of rootkits and rootkit technologies in malware and cybercrime is increasing. To ...
  • Proposed Applicable CCFIM Framework for Cybercrime Forensics Investigation in Myanmar 
    Maung, Tin Maung; Thwin, Mie Mie Su (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    The rapid increase of ICT creates new attack surfaces for cybercrime forensics. In society, information is the new challenge for security, privacy, and cybercrime. In this paper, an applicable framework has been proposed ...
  • Query Dependent Ranking for Information Retrieval by Using Query-Dependent Loss Function 
    Lwin, Pwint Hay Mar; Kham, Nang Saing Moon (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Ranking is the central problem for information retrieval (IR), and employing machine learning techniques to learn the ranking function is viewed as a promising approach to IR. In information retrieval, the users’queries ...
  • RDB-XML Security Model based on Masked Relations 
    Kham, Nang Saing Moon; Thin, Lwin Mar (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Relational databases get more and more employed in order to store the contents of a web site. At the same time, XML is a fast emerging technology, which is the standard of data exchange over the web and due to the new ...
  • An Insight of Critical Success Factors for Non-profit Organization ERP Implementation Process 
    Khaing (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Non-Governmental organizations (NGOs) have a significant role in the development of the society because they play a vital role in the interest of general public. There are many problems faced by those NGOs regarding ...
  • Analysis of Security Assessment in Software Refactoring 
    Maw, Myint Myint; Oo, Khine Khine (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Refactoring is the process of restructuring existing computer code – changing the factoring – without changing its external behavior. It is a common approach to producing better quality software. However, its impact ...
  • Android Malware Detection Framework Based on Static Analysis 
    Soe, Yan Naung; Oo, Khine Khine (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Mobile devices have gained tremendous popularity over the last few years. The most popular usage is the smart phones. They are accepted and admired by many mainly because they are capable of providing services such as ...
  • Feature Extraction for Effective Malware Characterization in Android Malware Detection Framework 
    Kyaw, May Thu; Kham, Nang Saing Moon (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    Today, mobile devices have become a widely used for personal and business purposes. Because of the popularity of mobile application, inexpensive ways for people to communicate and share information, they become the ...
  • Ontology-based Semantic Text Documents Clustering Using Particle Swarm Optimization 
    Lwin, Wai Wai; Kham, Nang Saing Moon (Fifteenth International Conference on Computer Applications(ICCA 2017), 2017-02-16)
    The World Wide Web, the largest shared information source is growing exponentially and the amount of business news on the web is overwhelming and need to be handled properly. As such, grouping the web document into ...
  • Effective Informative Content Extraction: Segmentation of Web Page into Semantic Blocks 
    Win, Chaw Su; Thwin, Mie Mie Su (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Web pages consist of both informative and non-informative content for the users. Web Page Indexing System, Web Page Classification and Clustering System and Web Information Extraction System that help the users to support ...
  • Efficient Data Partitioning for Entity Resolution Systems 
    Mon, Aye Chan; Thwin, Mie Mie Su (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    Entity Resolution is the task of identifying duplicated records that refer to the same real-world entity. It is costly process that can take up to days for large datasets. Various Blocking Methods have been applied in ...
  • Text Block Segmentation for Image Search System 
    Maung, Su Su; Aung, Nyein Myint Myint (Eleventh International Conference On Computer Applications (ICCA 2013), 2013-02-26)
    This paper presents the text block segmentation for image search system.Web pages are segmented into blocks for getting the text with images. Text block with images are later used as captions of images and hence plays an ...
  • Proposed Holistic Approach for Prevention, Detection and Mitigation of Layer-wise Attacks 
    Win, Su Su; Thwin, Mie Mie Su (Sixteenth International Conferences on Computer Applications(ICCA 2018), 2018-02-22)
    Data Link layer, Layer 2 of the OSI Model is considered as the weakest link in a secured network. According to the domino effect, if an initial attack occurs at layer 2, the whole network system can be compromised. To ...

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