Paper Info
Title
A cognitive approach for botnet detection using Artificial Immune System in the cloud
Abstract
The advent of cloud computing has given a provision for both good and malicious opportunities. Virtualization itself as a component of Cloud computing, has provided users with an immediate way of accessing limitless resource infrastructures. Botnets have evolved to be the most dangerous group of remote-operated zombie computers given the open cloud environment. They happen to be the dark side of computing due to the ability to run illegal activities through remote installations, attacks and propagations through exploiting vulnerabilities. The problem that this paper addresses is that botnet technology is advancing each day and detection in the cloud is becoming hard. In this paper, therefore, the authors' presents an approach for detecting an infection of a robot network in the cloud environment. The authors proposed a detection mechanism using Artificial Immune System (AIS). The results show that this research is significant.
Year
DOI
Venue
2014
10.1109/CyberSec.2014.6913971
Cyber Security, Cyber Warfare and Digital Forensic
Keywords
Field
DocType
artificial immune systems,cloud computing,invasive software,virtualisation,AIS,artificial immune system,botnet detection,cloud computing,cognitive approach,directed graph network,resource infrastructure access,virtualization,Artificial immune system,Botnet,Cloud,Detection,Negative selection
Virtualization,Artificial immune system,Computer science,Botnet,Computer security,Zombie,Robot,Cloud testing,Vulnerability,Cloud computing
Conference
ISSN
Citations 
PageRank 
2329-7069
6
0.60
References 
Authors
4
2
Name
Order
Citations
PageRank
Victor R. Kebande1182.73
Hein S. Venter2588.01