Study of Immune-Based Intrusion Detection Technology in Virtual Machines for Cloud Computing Environment
Joint Authors
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-23
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Telecommunications Engineering
Abstract EN
Cloud computing platforms are usually based on virtual machines as the underlying architecture; the security of virtual machine systems is the core of cloud computing security.
This paper presents an immune-based intrusion detection model in virtual machines of cloud computing environment, denoted as IB-IDS, to ensure the safety of user-level applications in client virtual machines.
In the model, system call sequences and their parameters of processes are used, and environment information in the client virtual machines is extracted.
Then the model simulates immune responses to ensure the state of user-level programs, which can detect attacks on the dynamic runtime of applications and has high real-time performance.
There are five modules in the model: antigen presenting module, signal acquisition module, immune response module, signal measurement module, and information monitoring module, which are distributed into different levels of virtual machine environment.
Performance analysis and experimental results show that the model brings a small performance overhead for the virtual machine system and has a good detection performance.
It is applicable to judge the state of user-level application in guest virtual machine, and it is feasible to use it to increase the user-level security in software services of cloud computing platform.
American Psychological Association (APA)
Zhang, Ruirui& Xiao, Xin. 2017. Study of Immune-Based Intrusion Detection Technology in Virtual Machines for Cloud Computing Environment. Mobile Information Systems،Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1188954
Modern Language Association (MLA)
Zhang, Ruirui& Xiao, Xin. Study of Immune-Based Intrusion Detection Technology in Virtual Machines for Cloud Computing Environment. Mobile Information Systems No. 2017 (2017), pp.1-15.
https://search.emarefa.net/detail/BIM-1188954
American Medical Association (AMA)
Zhang, Ruirui& Xiao, Xin. Study of Immune-Based Intrusion Detection Technology in Virtual Machines for Cloud Computing Environment. Mobile Information Systems. 2017. Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1188954
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1188954