IJCSWS - Volume :05 Issue:04
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1-5 |
A Survey On Machine Learning Techniques In Network Intrusion Detection System -- Rahul Balayan ,M.Arvindhan |
Abstract
Huge amounts of data is being generated every second due to technological development and innovations coming out in the market. Social Networking and the cloud computing boom in this technological world is generating large amounts of data every second. Streaming data , a technical term was devised to represent the constant generation of data on the World Wide Web. These data are constantly putting pressure and checking its limits on the current Intrusion Detection System(IDS). These systems are a device or software applications that keep a track log as well as monitors any malicious activity happening on the network. In order to detect and then prevent network security breaches in the system, many machine learning algorithms have been applied to the data generated in order to recognize any pattern in anomaly actives that are happening over the network system. Keywords: Intrusion Detection System, Mini Batch KMeans, Autoencoders, Naive Bayes, Deep Learning, Genetic Algorithm. ![]() |
6-12 |
Cloud Computing: Fundamentals and Research Issues Methodology Factors -- Rishabh Joshi ,M.Arvindhan |
Abstract
Nowadays, access control and data security are the two most critical problems with cloud computing. Access control can be defined as a procedure by which users can access data from the cloud server. At the time of accessing data, there are many problems, such as data security, high data accessing time, data loss, overhead, data redundancy, etc. In the first part of this paper, a brief discussion of the fundamentals of cloud computing is presented. Moreover, all the issues of cloud computing are also discussed in this paper. Finally, future work directions have been identified for the cloud computing environment. Keywords: Cloud computing; cloud service provider; data owner; access control; encryption, Service Provider. ![]() |
Remaining articles under review process