A Scheme of VoIP Spam Detection Using Improved Multi Gray-Leveling 


Vol. 37,  No. 8, pp. 630-636, Aug.  2012


PDF
  Abstract

In this paper, we propose an improved Multi Gray-Leveling scheme which reduces the problems of the existing Multi Gray-Leveling scheme suggested as a way of prevention against call spam in VoIP environment. The existing scheme having two different time period distinguishes the possibility of call spam by checking the call interval, so that it prevents the spammer’s avoidance controlling the call interval. This is the strength of the existing one but it can misunderstand the normal user as a spammer due to taking long term time period. To solve this problem, this paper proposes the upgrade scheme which utilizes the receiver’s action pattern as well as the caller’s action pattern. It has such a good strength that can do gray leveling via the collected information in the database of VoIP service provider without user’s direct involvement. Hence it can be a very effective way of VoIP spam detection.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

K. Chae and S. Jung, "A Scheme of VoIP Spam Detection Using Improved Multi Gray-Leveling," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 8, pp. 630-636, 2012. DOI: .

[ACM Style]

Kangsuk Chae and Souhwan Jung. 2012. A Scheme of VoIP Spam Detection Using Improved Multi Gray-Leveling. The Journal of Korean Institute of Communications and Information Sciences, 37, 8, (2012), 630-636. DOI: .

[KICS Style]

Kangsuk Chae and Souhwan Jung, "A Scheme of VoIP Spam Detection Using Improved Multi Gray-Leveling," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 8, pp. 630-636, 8. 2012.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880