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International Journal of Database Theory and Application

간행물 정보
  • 자료유형
    학술지
  • 발행기관
    보안공학연구지원센터(IJDTA) [Science & Engineering Research Support Center, Republic of Korea(IJDTA)]
  • pISSN
    2005-4270
  • 간기
    격월간
  • 수록기간
    2008 ~ 2016
  • 주제분류
    공학 > 컴퓨터학
  • 십진분류
    KDC 505 DDC 605
vol.2 no.2 (4건)
No
1

Data Hiding in Audio Signal : A Review

Poulami Dutta, Debnath Bhattacharyya, Tai-hoon Kim

보안공학연구지원센터(IJDTA) International Journal of Database Theory and Application vol.2 no.2 2009.06 pp.1-8

※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

Information hiding technique is a new kind of secret communication technology. The majority of today’s information hiding systems uses multimedia objects like audio. Embedding secret messages in digital sound is usually a more difficult process. Varieties of techniques for embedding information in digital audio have been established. In this paper we will attend the general principles of hiding secret information using audio technology, and an overview of functions and techniques.

2

Data Hiding in Video

Arup Kumar Bhaumik, Minkyu Choi, Rosslin J.Robles, Maricel O.Balitanas

보안공학연구지원센터(IJDTA) International Journal of Database Theory and Application vol.2 no.2 2009.06 pp.9-16

※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

Here, we propose a data hiding and extraction procedure for high resolution AVI (Audio Video Interleave) videos. Although AVI videos are large in size but it can be transmitted from source to target over network after processing the source video by using these Data Hiding and Extraction procedure securely. There are two different procedures, which are used here at the sender’s end and receiver’s end respectively. The procedures are used here as the key of Data Hiding and Extraction.

3

Process of Extracting Uncover Patterns from Data : A Review

Julian Dermoudy, Byeong-Ho Kang, Debnath Bhattacharyya, Seung-Hwan Jeon, Alisherov Farkhod A.

보안공학연구지원센터(IJDTA) International Journal of Database Theory and Application vol.2 no.2 2009.06 pp.17-34

※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

Extracting required patterns from huge amount of mixed data is an area of interest to the researchers. Various promising and already established algorithms are currently using in the name of Data Clustering. Clustering is used for partitioning the data into number of data sets or group. In this paper, we review four popular clustering algorithms from data mining perspective.

4

Network Issues in Clock Synchronization on Distributed Database

Rumpa Hazra, Debnath Bhattacharyya, Shouvik Dey, Sattarova Feruza Y., Tadjibayev Furkhat A.

보안공학연구지원센터(IJDTA) International Journal of Database Theory and Application vol.2 no.2 2009.06 pp.35-54

※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

Synchronization of clocks in distributed system has been an important area of research over the last decade. There are various methods of achieving clock synchronization depending on the requirements of the situation. A clock synchronization service ensures that spatially dispersed and heterogeneous processors in a distributed system share a common notion of time. In order to behave as a single, unified computing resource, distributed systems have need for a synchronization of drifting clocks and several algorithms have been proposed on this topic. Our paper highlights total network connection between different processors (alias nodes) of the system, We provide a simple, efficient, and unified algorithm for clock synchronization that can minimize the total network connection of the system.

 
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