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Intrusion Detection using Hidden Markov Model
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 115 - Number 4 |
| Year of Publication: 2015 |
| Authors: Sanjay Kumar Sharma, Manish Manoria |
10.5120/20142-2264
|
Sanjay Kumar Sharma, Manish Manoria . Intrusion Detection using Hidden Markov Model. International Journal of Computer Applications. 115, 4 ( April 2015), 35-38. DOI=10.5120/20142-2264
Abstract
The success of modern day technologies highly depends on its effectiveness of the world's norms, its ease of use by end users and most importantly its degree of information security and control. Cloud computing is a new and emerging information technology that changes the way of IT architectural solutions and put forward by means of moving towards the theme of virtualization of data storage, local networks (infrastructure) as well as software. Cloud computing has been envisioned as a next generation information technology (IT) paradigm for provisioning of computing services with a reduced cost and fast accessibility. It provides greater flexibility with lesser cost like on demands services, scalable network, and virtualized services to the end users[13][14]. Security threats in existing technologies and legacy will remain for intruders [14]. In this paper, different intrusion detection and prevention techniques are studies which affect availability, confidentiality and integrity of Cloud resources and services. Also examines proposals incorporating Intrusion Detection Systems (IDS) in Cloud and types of attacks. Proposal of new ideas for detection and preventions of intruders to achieve desired security in the cloud [24].
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