Future of Information and Communication Conference (FICC) 2024
4-5 April 2024
Publication Links
IJACSA
Special Issues
Future of Information and Communication Conference (FICC)
Computing Conference
Intelligent Systems Conference (IntelliSys)
Future Technologies Conference (FTC)
International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 12, 2021.
Abstract: The increased growth in the cloud-based application development and hosting, the demand for higher application and data security is also increasing. The cloud-based applications are hosted on virtual machines and the data generated or used by these applications are also hosted inside the virtual machines. Hence, the security of the applications and the data can be achieved only by securing the virtual machines. There are number of challenges to achieve the security of the virtual machines. Firstly, the size of the virtual machines is large, and the generic cryptographic methods are primarily designed to handle smaller size of the data. Thus, the applicability of these methods for virtual machine are subjected to analysis. Secondly, the additional time required for applying the cryptographic algorithms on the virtual machines impact the response time of the applications, which again impacts the service level agreements. Finally, the virtual machines during the migration are highly vulnerable as the virtual machines are migrated inside the data center networks as simple text data. A good number of research attempts have tried to solve these challenges. Nonetheless, most of the parallel research works have either compromised on the strength of the security protocols or have compromised on the time taken to apply the cryptographic methods. However, the need of the research is to identify the attacks based on the characteristics of connection requests and reduce the time for the encryption and decryption of the virtual machines. This work proposes a novel framework for detection of the attacks based on a machine learning driven algorithm by analyzing the connection properties and prevent the attacks by selective encryption of the virtual machines using another machine learning driven algorithm. This work demonstrates nearly 98% accuracy in detection of the newer and existing attack types.
S. Radharani and V. B. Narasimha, “A Novel Framework for Cloud based Virtual Machine Security by Change Management using Machine” International Journal of Advanced Computer Science and Applications(IJACSA), 12(12), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0121282
@article{Radharani2021,
title = {A Novel Framework for Cloud based Virtual Machine Security by Change Management using Machine},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0121282},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0121282},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {12},
author = {S. Radharani and V. B. Narasimha}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.