Paper Title:
Research on New Botnet Detection Strategy Based on Information Materials
  Abstract

Recognized as one the most serious security threats on current Internet infrastructure, botnets with its low resource requirements have developed rapidly. How to detect botnets has become a major topic of current research. Based on existing research results, this paper proposes a new detection strategy, which solves unknown botnet detection efficiency by the behavioral characteristics of botnets. The core idea is separating static characteristic and dynamic behavior of botnet, and optimizing dynamic the parameters of dynamic behavior, and changing passive defense into active defense. According to the behavior of the attacker, this strategy can optimize behavior parameters. The proposed approach has the commonality and the expansibility, which strengthen unknown botnet defense fundamentally.

  Info
Periodical
Advanced Materials Research (Volumes 282-283)
Chapter
Chapter2: Material Science, Environment Science and Engineering
Edited by
Helen Zhang and David Jin
Pages
236-239
DOI
10.4028/www.scientific.net/AMR.282-283.236
Citation
C. Y. Yin, A. A. Ghorbani, R. X. Sun, "Research on New Botnet Detection Strategy Based on Information Materials", Advanced Materials Research, Vols. 282-283, pp. 236-239, 2011
Online since
July 2011
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Price
$32.00
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