A Novel Data Generation Approach for Digital Forensic Application in Data Mining

Bhat, Veena H.; Rao, Prasanth G.; Abhilash, R; Shenoy, P. Deepa; Venugopal, K. R.; Patnaik, L. M.

doi:10.1109/icmlc.2010.24

Cited by 11 publications

(3 citation statements)

References 3 publications

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“…The analysis of network logs, network flows and system events for an enterprise in order to detect an attack is a major problem in the security and forensic community due to inadequate analytics technology [15]. There are several reasons in practice where voluminous data storage was economically not feasible and retention period for variety of unstructured data is fixed.…”

Section: Forensic Analysis Of Networkmentioning

confidence: 99%

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A Study Towards Post Hoc Forensic Analysis Using Big Data Analytics

Jayasingh¹

2018

CVRJST

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The network traffic data of an enterprise is considered to be huge day by day and it gradually becomes big data. The major concern here is how to analyze the data in case of an unusual event occurs and how to draw a conclusion when data is voluminous. The post mortem analysis of traffic data and grabbing the information as evidence is said to be network forensics that can be achieved through big data analytics only. In this paper, the network forensics literature is studied along with how to use big data analytics for accurate analysis of fraud. There is a well understood discussion about the security challenges of big data including big data privacy issues, data provenance problems and visual analytics. Traffic data is used for attack analysis by considering fraud detection methods for the advanced persistent threats in order to correlate large quantities of diverse data to detect an attacker. It is also considered the forensic analysis of an attack in the traffic data to extract the evidence against an attacker. It is more focused on the techniques and associated tools for use of big data analytics for security and use of information security algorithms to protect big data. This rigorous study leads to making use of available tools and techniques of big data analytics in the development of any network forensic system.

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Section: Forensic Analysis Of Networkmentioning

confidence: 99%

“…There are literatures available in the area of extracting and analyzing digital evidence from physical devices such as hard disks. Probably less effort put in the portable storage devices [15]. The forensics on portable devices using data mining is difficult due to the structure and the storage of the data.…”

Section: Forensic Profilesmentioning

confidence: 99%