Journal Title : International Journal of Modern Trends in Engineering and Science


Author’s Name : Poonam Thombare | Shrihari Khatawkar  unnamed

Volume 03 Issue 11 2016

ISSN no:  2348-3121

Page no: 4-7

Abstract – Dissimilar network data sources are sources for security monitoring. For such growing volume of data to treat as complexity, analysis of network data sources is difficult. For security monitoring, we propose a solution for the huge amount of data to analyze.  Introducing architecture for security monitoring of local enterprise networks. The application area of such a system is mostly network intrusion detection and prevention, also used as for forensic analysis. The proposed architecture combines two systems, one dedicated to scalable distributed data storage and management and the other dedicated to data utilization. Different sources of data, such as DNS data, NetFlow records, and HTTP traffic also honeypot data which will mean and correlated in a distributed system that leverages state of the art big data solution. Data association schemes are proposed. Its performance is evaluated against more than few well-known big data frameworks using Hadoop.  

Keywords— Big Data, Honeypot Data, Intrusion, Forensic Analysis


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