Mitigation of DDoS threat to service attainability in cloud premises Online publication date: Mon, 19-Nov-2018
by Johnson Shiny Duela; P. Uma Maheswari
International Journal of Reasoning-based Intelligent Systems (IJRIS), Vol. 10, No. 3/4, 2018
Abstract: Cloud environment provides users with amicable services that help them to attain their organisational and personal goals. The end user suffers from unavailability and delay of promised services under few circumstances. This is due to distributed denial of service (DDoS) attack where the illegitimate users on cloud who always generate different kinds of bots and zombies to disrupt or breakdown service availability. A DDoS detection algorithm (DDA) is proposed to trace out the existing attack by employing action-based monitoring (AM) approach on the incoming traffic. The human discovery algorithm (HDA) is implemented by performing a Turing test targeting on human to segregate the bots from the normal user. The supervisor self-learning algorithm (SSLA) is another mitigation test that allows future bots to be isolated. This model has shown improvement in terms of client success ratio, load balancing, and detection, prevention and mitigation of DDoS attack with respect to time.
Online publication date: Mon, 19-Nov-2018
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 Reasoning-based Intelligent Systems (IJRIS):
Login with your Inderscience username and 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 firstname.lastname@example.org