Intrusion Detection Techniques in Big Data: A Review
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 4
Abstract
With the increasing use and demand of Big Data, Security has become the major concern. With the growth of cyberattacks, information safety has become an important issue all over the world. Prevention alone is not the solution for this; hence Intrusion Detection Systems have come into focus. . Intrusion refers to the hacking of the system or a network which poses a security risk to the private information of the organization. Intrusion detection systems (IDSs) are an essential element for network security infrastructure and play a very important role in detecting large number of attacks..This paper introduces a detailed analysis of the network security problems and also represents a review of the current research in Big Data intrusion detection systems. In this paper an attempt has been made to identify recent approaches used for intrusion detection in Big Data.
Authors and Affiliations
Neenu Daniel , Ritty Jacob
Keywords
Related Articles
- EP ID EP23772
- DOI http://doi.org/10.22214/ijraset.2017.4065
- Views 312
- Downloads 5
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