Cloud Computing for Network Security Intrusion Detection System

Autor: Cilin Wang, Caiming Liu, Jin Yang, Le Yu
Rok vydání: 2013
Předmět:
Zdroj: Journal of Networks. 8
ISSN: 1796-2056
DOI: 10.4304/jnw.8.1.140-147
Popis: In recent years, as a new distributed computing model, cloud computing has developed rapidly and become the focus of academia and industry. But now the security issue of cloud computing is a main critical problem of most enterprise customers faced. In the current network environment, that relying on a single terminal to check the Trojan virus is considered increasingly unreliable. This paper analyzes the characteristics of current cloud computing, and then proposes a comprehensive real-time network risk evaluation model for cloud computing based on the correspondence between the artificial immune system antibody and pathogen invasion intensity. The paper also combines assets evaluation system and network integration evaluation system, considering from the application layer, the host layer, network layer may be factors that affect the network risks. The experimental results show that this model improves the ability of intrusion detection and can support for the security of current cloud computing.
Databáze: OpenAIRE