A dynamic backdoor detection system based on Dynamic Link Libraries
by Shi-Jinn Horng, Ming-Yang Su, Ja-Ga Tsai
International Journal of Business and Systems Research (IJBSR), Vol. 2, No. 3, 2008

Abstract: We present a two-layer backdoor detection system in the article. In the first-layer, Zhang and Paxson's method is applied to identify keystroke interactive connection from network traffic. In the second-layer, we adopt the Dynamic Link Library (DLL) injection technique to record all DLLs employed by the programme that evokes such interactive connection. Compared the recorded data with some pre-defined Common Feature Tables, the second-layer can then determine whether the monitored programme is a backdoor. By experiments, the best result of our system got 94.44% detection rate while False Positive was zero. In the case, the overall accuracy was 97.22%.

Online publication date: Tue, 30-Sep-2008

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business and Systems Research (IJBSR):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com