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Title: :  Network Surveillance: Detecting Anomalous Activities in the Network using Big Data Technologies
PaperId: :  5463
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 3 2017
DUI:    16.0415/IJARIIE-5463
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Pratiksha GhateJ D COLLEGE OF ENGINEERING AND MANAGEMENT NAGPUR
Prof. Mirza M. BaigJ D COLLEGE OF ENGINEERING AND MANAGEMENT NAGPUR

Abstract

Computer Science and Engineering
RDBMs, Big Data, Hadoop Distributed File System, HDFS, HIVE, Tableau
Telecommunication companies receive massive amounts of data providing lots of information about the customers and network. This data, both structured and unstructured, when analyzed can reveal deeper insights into customer behavior, their service usage patterns, preferences, and interests in real-time. The ongoing digitalization in every field is making enterprises vulnerable to cyber attacks. The traditional application and storage architectures are not designed for storing and processing such 'Gigantic data' due to which a lot of useful information is lost. Analytics can be thought of as a weapon in maximizing cyber resilience. That is where big data analytics comes into play. This project addresses the issue of handling the large volumes enterprise data using Big Data - Hadoop and applying analytics to detect patterns in anomalous user activities based on their internet browsing and usage.

Citations

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IJARIIE Pratiksha Ghate, and Prof. Mirza M. Baig. "Network Surveillance: Detecting Anomalous Activities in the Network using Big Data Technologies" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 3 2017 Page 2245-2253
MLA Pratiksha Ghate, and Prof. Mirza M. Baig. "Network Surveillance: Detecting Anomalous Activities in the Network using Big Data Technologies." International Journal Of Advance Research And Innovative Ideas In Education 3.3(2017) : 2245-2253.
APA Pratiksha Ghate, & Prof. Mirza M. Baig. (2017). Network Surveillance: Detecting Anomalous Activities in the Network using Big Data Technologies. International Journal Of Advance Research And Innovative Ideas In Education, 3(3), 2245-2253.
Chicago Pratiksha Ghate, and Prof. Mirza M. Baig. "Network Surveillance: Detecting Anomalous Activities in the Network using Big Data Technologies." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 3 (2017) : 2245-2253.
Oxford Pratiksha Ghate, and Prof. Mirza M. Baig. 'Network Surveillance: Detecting Anomalous Activities in the Network using Big Data Technologies', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 3, 2017, p. 2245-2253. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Network_Surveillance__Detecting_Anomalous_Activities_in_the_Network_using_Big_Data_Technologies_ijariie5463.pdf (Accessed : ).
Harvard Pratiksha Ghate, and Prof. Mirza M. Baig. (2017) 'Network Surveillance: Detecting Anomalous Activities in the Network using Big Data Technologies', International Journal Of Advance Research And Innovative Ideas In Education, 3(3), pp. 2245-2253IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Network_Surveillance__Detecting_Anomalous_Activities_in_the_Network_using_Big_Data_Technologies_ijariie5463.pdf (Accessed : )
IEEE Pratiksha Ghate, and Prof. Mirza M. Baig, "Network Surveillance: Detecting Anomalous Activities in the Network using Big Data Technologies," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 3, pp. 2245-2253, May-Jun 2017. [Online]. Available: http://ijariie.com/AdminUploadPdf/Network_Surveillance__Detecting_Anomalous_Activities_in_the_Network_using_Big_Data_Technologies_ijariie5463.pdf [Accessed : ].
Turabian Pratiksha Ghate, and Prof. Mirza M. Baig. "Network Surveillance: Detecting Anomalous Activities in the Network using Big Data Technologies." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 3 ().
Vancouver Pratiksha Ghate, and Prof. Mirza M. Baig. Network Surveillance: Detecting Anomalous Activities in the Network using Big Data Technologies. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : ]; 3(3) : 2245-2253. Available from: http://ijariie.com/AdminUploadPdf/Network_Surveillance__Detecting_Anomalous_Activities_in_the_Network_using_Big_Data_Technologies_ijariie5463.pdf
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