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Title: :  Increasing efficiency of intrusion detection system using stream data mining classification
PaperId: :  3793
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 1 2017
DUI:    16.0415/IJARIIE-3793
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Akanksha Manikchandji ShrihrimalAditya Engineering College, Beed
Khwaja AamerAditya Engineering College, Beed
Syed A. H.Aditya Engineering College, Beed

Abstract

Software Engineering
Hoeffding, intrusion detection system,naïve base, stream data classification, streaming data
Data mining is the process of extracting knowledge or information from the previously known and comprehensive datasets for the future decision making. Data mining is the not only withdraw of hidden predictive information but also a strong technology that has great perspective to companies to focus on the most important data in their data repository. Data is growing day by day and this growth has created so many challenges in data mining. The improved technology by World Wide Web is streaming data. The streaming data come into the picture with its challenges and it is known as the data which change with time and update its value. In the sense of security perspective, as the most of the data is streaming in nature, there are so many challenges need to face. The Intrusion Detection System (IDS) work in the supposition of detecting the intruders to protect the respective system. Due to the importance of system’s safety measure the research in data stream mining and Intrusion detection system gained high attraction. In this paper, we represent the mechanism to improve the efficiency of the IDS using different streaming data mining classification technique. We apply four selected stream data classification algorithms on NSL-KDD datasets and compared their results. Based on the comparative analysis of their results best method is found out for efficiency improvement of IDS.

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IJARIIE Akanksha Manikchandji Shrihrimal, Khwaja Aamer, and Syed A. H.. "Increasing efficiency of intrusion detection system using stream data mining classification" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 1 2017 Page 1253-1261
MLA Akanksha Manikchandji Shrihrimal, Khwaja Aamer, and Syed A. H.. "Increasing efficiency of intrusion detection system using stream data mining classification." International Journal Of Advance Research And Innovative Ideas In Education 3.1(2017) : 1253-1261.
APA Akanksha Manikchandji Shrihrimal, Khwaja Aamer, & Syed A. H.. (2017). Increasing efficiency of intrusion detection system using stream data mining classification. International Journal Of Advance Research And Innovative Ideas In Education, 3(1), 1253-1261.
Chicago Akanksha Manikchandji Shrihrimal, Khwaja Aamer, and Syed A. H.. "Increasing efficiency of intrusion detection system using stream data mining classification." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 1 (2017) : 1253-1261.
Oxford Akanksha Manikchandji Shrihrimal, Khwaja Aamer, and Syed A. H.. 'Increasing efficiency of intrusion detection system using stream data mining classification', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 1, 2017, p. 1253-1261. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Increasing_efficiency_of_intrusion_detection_system_using_stream_data_mining_classification_ijariie3793.pdf (Accessed : ).
Harvard Akanksha Manikchandji Shrihrimal, Khwaja Aamer, and Syed A. H.. (2017) 'Increasing efficiency of intrusion detection system using stream data mining classification', International Journal Of Advance Research And Innovative Ideas In Education, 3(1), pp. 1253-1261IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Increasing_efficiency_of_intrusion_detection_system_using_stream_data_mining_classification_ijariie3793.pdf (Accessed : )
IEEE Akanksha Manikchandji Shrihrimal, Khwaja Aamer, and Syed A. H., "Increasing efficiency of intrusion detection system using stream data mining classification," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 1, pp. 1253-1261, Jan-Feb 2017. [Online]. Available: http://ijariie.com/AdminUploadPdf/Increasing_efficiency_of_intrusion_detection_system_using_stream_data_mining_classification_ijariie3793.pdf [Accessed : ].
Turabian Akanksha Manikchandji Shrihrimal, Khwaja Aamer, and Syed A. H.. "Increasing efficiency of intrusion detection system using stream data mining classification." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 1 ().
Vancouver Akanksha Manikchandji Shrihrimal, Khwaja Aamer, and Syed A. H.. Increasing efficiency of intrusion detection system using stream data mining classification. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : ]; 3(1) : 1253-1261. Available from: http://ijariie.com/AdminUploadPdf/Increasing_efficiency_of_intrusion_detection_system_using_stream_data_mining_classification_ijariie3793.pdf
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