DocumentCode :
3279501
Title :
Block Model Application for Decision Support Systems
Author :
Kim, Tai-Hoon ; Kim, Seok-Soo ; Park, Gil-Cheol
Author_Institution :
Hannam Univ., Daejeon
fYear :
2007
fDate :
9-10 Aug. 2007
Firstpage :
25
Lastpage :
28
Abstract :
Because networks and systems become more complex, the implementation of the security countermeasures for Decision Support Systems (DSS) becomes more critical. Designers and developers of the security policy should recognize the importance of building security countermeasures by using both technical and non-technical methods, such as personnel and operational facts. In general, decision support systems have many components, and these components are connected with each other complicatedly. Therefore, to make security countermeasure more perfect one, all components of systems should be checked, and this method is very difficult because too many components are included. In this paper, to overcome this problem, we propose the Block Model to divide decision support systems into 4 blocks. After dividing systems into blocks, we can get a chance to build security countermeasures for each block Security countermeasures of each block can be integrated into total countermeasures. Applying of Security engineering and intelligent methods are needed to reduce security holes may be included in the software or systems. Therefore, more security-related intelligent researches are needed to reduce security weakness may be included in the systems. This paper proposes some intelligent methods and procedures for reducing the threat to the system by applying security engineering, and for building security countermeasure.
Keywords :
decision support systems; security of data; block model application; decision support system security; security engineering; security-related intelligent research; Buildings; Computer security; Decision support systems; Design engineering; Information security; Intelligent networks; Intelligent systems; Multimedia systems; Software systems; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bio-inspired, Learning, and Intelligent Systems for Security, 2007. BLISS 2007. ECSIS Symposium on
Conference_Location :
Edinburgh
Print_ISBN :
0-7695-2919-4
Type :
conf
DOI :
10.1109/BLISS.2007.33
Filename :
4290933
Link To Document :
بازگشت