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Title: :  To study of Intrusion Detection System to prevent from R2L, U2R attacks and Improve False Alarm rate in Cyber Infrastructure Using ML and DM
PaperId: :  15061
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 4 2021
DUI:    16.0415/IJARIIE-15061
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Ankit ChakrawartiRabindranath Tagore University, Bhopal
Dr. Shiv Shakti ShrivastavaRabindranath Tagore University, Bhopal

Abstract

Computer Science Engineering
IDS, Machine Learning, ML, R2L,U2R, KDD datasets.
With the limitation of traditional technologies like firewalls and thanks to the advancement within the era of technologies the network security are on high risk, which further emerges the necessity of latest technologies and more advanced solutions for cyber security. Many Intrusion detection systems which aren't very capable of identifying and classifying the attacks present within the network like DoS(Denial of Service), Probe, U2R(User to Root) and R2L(Remote to Local).This survey paper describes a focused literature survey of machine learning (ML) and data mining (DM) methods for cyber analytics in support of intrusion detection. Short tutorial descriptions of each ML/DM method are provided. Based on the number of citations or the relevance of an emerging method, papers representing each method were identified, read, and summarized. Because data are so important in ML/DM approaches, some well-known cyber data sets utilized in ML/DM are described. The complexity of ML/DM algorithms is addressed, discussion of challenges for using ML/DM for cyber security is presented, and a few recommendations on when to use a given method are provided.

Citations

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IJARIIE Ankit Chakrawarti, and Dr. Shiv Shakti Shrivastava. "To study of Intrusion Detection System to prevent from R2L, U2R attacks and Improve False Alarm rate in Cyber Infrastructure Using ML and DM" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 4 2021 Page 1326-1331
MLA Ankit Chakrawarti, and Dr. Shiv Shakti Shrivastava. "To study of Intrusion Detection System to prevent from R2L, U2R attacks and Improve False Alarm rate in Cyber Infrastructure Using ML and DM." International Journal Of Advance Research And Innovative Ideas In Education 7.4(2021) : 1326-1331.
APA Ankit Chakrawarti, & Dr. Shiv Shakti Shrivastava. (2021). To study of Intrusion Detection System to prevent from R2L, U2R attacks and Improve False Alarm rate in Cyber Infrastructure Using ML and DM. International Journal Of Advance Research And Innovative Ideas In Education, 7(4), 1326-1331.
Chicago Ankit Chakrawarti, and Dr. Shiv Shakti Shrivastava. "To study of Intrusion Detection System to prevent from R2L, U2R attacks and Improve False Alarm rate in Cyber Infrastructure Using ML and DM." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 4 (2021) : 1326-1331.
Oxford Ankit Chakrawarti, and Dr. Shiv Shakti Shrivastava. 'To study of Intrusion Detection System to prevent from R2L, U2R attacks and Improve False Alarm rate in Cyber Infrastructure Using ML and DM', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 4, 2021, p. 1326-1331. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/To_study_of_Intrusion_Detection_System_to_prevent_from_R2L__U2R_attacks_and_Improve_False_Alarm_rate_in_Cyber_Infrastructure_Using_ML_and_DM_ijariie15061.pdf (Accessed : 04 May 2025).
Harvard Ankit Chakrawarti, and Dr. Shiv Shakti Shrivastava. (2021) 'To study of Intrusion Detection System to prevent from R2L, U2R attacks and Improve False Alarm rate in Cyber Infrastructure Using ML and DM', International Journal Of Advance Research And Innovative Ideas In Education, 7(4), pp. 1326-1331IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/To_study_of_Intrusion_Detection_System_to_prevent_from_R2L__U2R_attacks_and_Improve_False_Alarm_rate_in_Cyber_Infrastructure_Using_ML_and_DM_ijariie15061.pdf (Accessed : 04 May 2025)
IEEE Ankit Chakrawarti, and Dr. Shiv Shakti Shrivastava, "To study of Intrusion Detection System to prevent from R2L, U2R attacks and Improve False Alarm rate in Cyber Infrastructure Using ML and DM," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 4, pp. 1326-1331, Jul-Aug 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/To_study_of_Intrusion_Detection_System_to_prevent_from_R2L__U2R_attacks_and_Improve_False_Alarm_rate_in_Cyber_Infrastructure_Using_ML_and_DM_ijariie15061.pdf [Accessed : 04 May 2025].
Turabian Ankit Chakrawarti, and Dr. Shiv Shakti Shrivastava. "To study of Intrusion Detection System to prevent from R2L, U2R attacks and Improve False Alarm rate in Cyber Infrastructure Using ML and DM." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 4 (04 May 2025).
Vancouver Ankit Chakrawarti, and Dr. Shiv Shakti Shrivastava. To study of Intrusion Detection System to prevent from R2L, U2R attacks and Improve False Alarm rate in Cyber Infrastructure Using ML and DM. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : 04 May 2025]; 7(4) : 1326-1331. Available from: https://ijariie.com/AdminUploadPdf/To_study_of_Intrusion_Detection_System_to_prevent_from_R2L__U2R_attacks_and_Improve_False_Alarm_rate_in_Cyber_Infrastructure_Using_ML_and_DM_ijariie15061.pdf
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