Abstract:

Cloud computing is one of the most substantial and fastest growing field today whereas cloud service providers offer resources as virtual machines, raw (block) storage, firewalls, load balancers, and network devices. One of the most vital issues in cloud computing is security. AI is a combination of multiple technologies such as machine learning, Artificial Neural Networks and Deep Learning and its widely accepted by technologist and global IT giants. There were few AI driven security solutions have already found in traditional applications in next generation such as firewalls, automatic intrusion detection systems, encrypted traffic identification, malware detection, and so on, therefore it would also be very suitable and supportive for ensuring security on Cloud based computation. This paper focuses on some of the important aspect and possibility of AI driven security approaches for OpenStack cloud. It brings out an exhaustive survey of such techniques, and also put forth the open challenges for further research. The paper is organized as follows as Introduction to Artificial Intelligence, Cloud Computing, Review of Literature, Security Issues in OpenStack and Conclusion.

Keywords: Artificial Intelligence, Cloud Computing, OpenStack, Security

References:

[1].   Ishan Gidwani, Dasrath Mane, 2015, Security Issues in OpenStack, International Journal of Computer Science and Information Technology Research ISSN 2348-120X (online) Vol. 3, Issue 2, pp: 1147-1158.

[2].   Hala Albaroodi, Selvakumar Manickam and Parminder Singh, 2014, Critical Review of OpenStack Security: Issues and Weakness, Journal of Computer Science 10 (1): 23-33.

[3].   Sunil Kumar S, Manvi A, Gopal Krishna Shyamb., 2014, Resource management for Infrastructure as a Service (IaaS) in Cloud Computing: A survey. Journal of Network and Computer Applications 41(2014) 424–440.

[4].   Rakesh Kumar, Neha Gupta, Shilpi Charu, Kanishk Jain, Sunil Kumar Jangir, 2014, International Journal of Computer Science and Mobile Computing, Vol.3 Issue.5, pg. 89-98.

[5].   Pieter-Jan Maenhaut, Hendrik Moens, Bruno Volckaert, Veerle Ongenae and Filip De Turck, 2017, Resource Allocation in the Cloud: From Simulation to Experimental Validation, proceedings of IEEE 10th International Conference on Cloud Computing.

[6].   Dr. Balamurugan E, Sathish Kumar K, Dr. Sangeetha, 2018, A Survey on Software as a Service (SaaS) Cloud for High Level Language Computing. International Conference on Electrical, Electronics, Computers, Communication, Mechanical and Computing (EECCMC). January 28 & 29, 2018.

[7].   S. Russell and P. Norvig, 2015. Artificial Intelligence: A Modern Approach, Prentice Hall, New York.

[8].   B. Jennings and R. Stadler, Resource management in clouds: Survey and research challenges,2015 Journal of Network and Systems Management, vol. 23, no. 3, pp. 567 – 619, 2015.

[9].   Richars Layne, 2019. Artificial Intelligence and Cloud Computing, The Future of Scientific Research, https://www.tessella.com.

[10].  https://docs.openstack.org/ceilometer/latest/install/get_started.html.

[11].  https://thenewstack.io/how-openstack-provides-scalable-reusable-infrastructure-for-ai-ml-workloads/.

[12].  https://wiki.openstack.org/wiki/Gyan/TFiO.