Logo
  • Home
  • About Us
    • Aim and Scope
    • Research Area
    • Impact Factor
    • Indexing
  • For Authors
    • Authors Guidelines
    • How to publish paper?
    • Download Paper format
    • Submit Manuscript
    • Processing Charges
    • Download Copyrights Form
    • Submit Payment-Copyrights
  • Archives
    • Current Issues
    • Past Issues
    • Conference Issues
    • Special Issues
    • Advance Search
  • IJARIIE Board
    • Join as IJARIIE Board
    • Advisory Board
    • Editorial Board
    • Sr. Reviewer Board
    • Jr. Reviewer Board
  • Proposal
    • Conferece Proposal
    • Special Proposal
    • Faqs
  • Contact Us
  • Payment Detail

Call for Papers:Vol.11 Issue.3

Submission
Last date
28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

  • How to Publish Paper
  • Submit Manuscript
  • Processing Charges
  • Submit Payment

Archives

  • Current Issue
  • Past Issue

IJARIIE Board

  • Member Of Board
  • Join As Board

Downloads

  • Authors Guidelines
  • Manuscript Template
  • Copyrights Form

Android App

Download IJARIIE APP
  • Authors
  • Abstract
  • Citations
  • Downloads
  • Similar-Paper

Authors

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

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

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
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Driver Drowsiness Detection System Using OpenCV And IOTComputer Science And EngineeringAkshay Amrutkar Download
Stock Sense: Deep Learning based stock-market prediction toolComputer Science and Engineering (Data Science)Meet Manoj Agarwal Download
AN AI POWERED MENTAL HEATH AND WELLNESS COMPAIONComputer Science EngineeringDr . Archana B Download
PREDICTING GENETIC VARIANTS PATHOGENECITYComputer EngineeringSyed Arbeena Kausar Download
ANDROID MALWARE DETECTION USING MACHINE LEARNING TECHNIQUESCOMPUTER SCIENCE AND ENGINEERINGS. Saiful Islam Download
IMPROVING HEALTHCARE PREDICTION OF DIABETIC PATIENTS USING KNN IMPUTED FEATURES AND TRI-ENSEMBLE MODELCOMPUTER SCIENCE AND ENGINEERINGS. Mahammad Arif Download
MONEY LAUNDERING DETECTION USING MACHINE LEARNING METHODSCOMPUTER SCIENCE AND ENGINEERINGY B. Shashank Raj Download
LEVERAGING SPATIOTEMPORAL PATTERNS FOR CYBER ATTACK DETECTION IN DISTRIBUTION SYSTEMCOMPUTER SCIENCE AND ENGINEERINGV. Kumar Download
Real-Time Heart Disease Prediction Using Machine LearningCOMPUTER SCIENCE AND ENGINEERINGP. Sri Pavan Hari Charan Download
HAND AND FACE LANDMARKS DETECTION USING MEDIA PIPE AND AICOMPUTER SCIENCE AND ENGINEERINGK. V. Bharath Kumar Download
VEHICLES SPEED DETECTION SYSTEM USING OPENCVCOMPUTER SCIENCE AND ENGINEERINGS. Santosh Download
SUSPICIOUS HUMAN ACTIVITY RECOGNITION FROM SURVEILLANCE VIDEOS USING DEEP LEARNINGCOMPUTER SCIENCE AND ENGINEERINGM. Lakshmi kanth Download
DETECTION OF THYROID DISORDERS USING MACHINE LEARNING APPOARCHCOMPUTER SCIENCE AND ENGINEERINGP. Shamiulla Download
Events Recommendation SystemComputer Science and EngineeringDharsana S Download
Online Attendance Using Web ApplicationComputer EngineeringMrs. P. Saranya Download
12
For Authors
  • Submit Paper
  • Processing Charges
  • Submit Payment
Archive
  • Current Issue
  • Past Issue
IJARIIE Board
  • Member Of Board
  • Join As Board
Privacy and Policy
Follow us

Contact Info
  • +91-8401209201 (India)
  • +86-15636082010 (China)
  • ijariiejournal@gmail.com
  • M-20/234 Ami Appt,
    Nr.Naranpura Tele-Exch,
    Naranpura,
    Ahemdabad-380063
    Gujarat,India.
Copyright © 2025. IJARIIE. All Rights Reserved.