An efficient optimal security system for intrusion detection in cloud computing environment using hybrid deep learning technique

Tremendous growth in Cloud computing environment brings great happiness to the IT sector. Easy access and pay per use are the attractive glimpse towards the cloud environment. Users can’t put out the cloud though there
may be many threatening security problems. This is because they tasted the cloud easy deployment anywhere. But the security compliance is not yet attained its goal. Cloud has endless boundaries in the field so there is much
crucial vulnerability arising every time.IDS being a very good solution to switch off the vulnerabilities. This paper is going to discuss about the cloud IDS which is tested using the feature selection method and eliminates unwanted attributes to gain the effective ids. The feature selection takes only the essential attributes from the total 42 features to bring enhanced model to suit the Cloud computing. The effective ids is found using NSL KDD dataset applying on the methods that is MLP and J48 algorithm to bring higher accuracy rate to improve the intrusion detection in the Cloud environment.