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Title: :  SEMI-SUPERVISED MACHINE LEARNING APPROACH FOR DDOS DETECTION
PaperId: :  15606
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 6 2021
DUI:    16.0415/IJARIIE-15606
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Mondi Surya Prabha,Raghu Institute Of Technology
G.M.Padmaja, (Assistant Professor)Raghu Institute Of Technology

Abstract

computer engineering,AI
machine learning.AI,python
The appearance of malicious apps is a serious threat to the Android platform. Most types of network interfaces based on the integrated functions, steal users' personal information and start the attack operations. In this project, we propose an effective and automatic malware detection method using the text semantics of network traffic. In particular, we consider each HTTP flow generated by mobile apps as a text document, which can be processed by natural language processing to extract text-level features. Later, the use of network traffic is used to create a useful malware detection model. We examine the traffic flow header using N-gram method from the natural language processing (NLP). Then, we propose an automatic feature selection algorithm based on chi-square test to identify meaningful features. It is used to determine whether there is a significant association between the two variables. We propose a novel solution to perform malware detection using NLP methods by treating mobile traffic as documents. We apply an automatic feature selection algorithm based on N-gram sequence to obtain meaningful features from the semantics of traffic flows. Our methods reveal some malware that can prevent detection of antiviral scanners. In addition, we design a detection system to drive traffic to your own-institutional enterprise network, home network, and 3G / 4G mobile network. Integrating the system connected to the computer to find suspicious network behaviors.

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IJARIIE Mondi Surya Prabha,, and G.M.Padmaja, (Assistant Professor). "SEMI-SUPERVISED MACHINE LEARNING APPROACH FOR DDOS DETECTION" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 6 2021 Page 410-424
MLA Mondi Surya Prabha,, and G.M.Padmaja, (Assistant Professor). "SEMI-SUPERVISED MACHINE LEARNING APPROACH FOR DDOS DETECTION." International Journal Of Advance Research And Innovative Ideas In Education 7.6(2021) : 410-424.
APA Mondi Surya Prabha,, & G.M.Padmaja, (Assistant Professor). (2021). SEMI-SUPERVISED MACHINE LEARNING APPROACH FOR DDOS DETECTION. International Journal Of Advance Research And Innovative Ideas In Education, 7(6), 410-424.
Chicago Mondi Surya Prabha,, and G.M.Padmaja, (Assistant Professor). "SEMI-SUPERVISED MACHINE LEARNING APPROACH FOR DDOS DETECTION." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 6 (2021) : 410-424.
Oxford Mondi Surya Prabha,, and G.M.Padmaja, (Assistant Professor). 'SEMI-SUPERVISED MACHINE LEARNING APPROACH FOR DDOS DETECTION', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 6, 2021, p. 410-424. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/SEMI_SUPERVISED_MACHINE_LEARNING_APPROACH_FOR_DDOS_DETECTION_ijariie15606.pdf (Accessed : ).
Harvard Mondi Surya Prabha,, and G.M.Padmaja, (Assistant Professor). (2021) 'SEMI-SUPERVISED MACHINE LEARNING APPROACH FOR DDOS DETECTION', International Journal Of Advance Research And Innovative Ideas In Education, 7(6), pp. 410-424IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/SEMI_SUPERVISED_MACHINE_LEARNING_APPROACH_FOR_DDOS_DETECTION_ijariie15606.pdf (Accessed : )
IEEE Mondi Surya Prabha,, and G.M.Padmaja, (Assistant Professor), "SEMI-SUPERVISED MACHINE LEARNING APPROACH FOR DDOS DETECTION," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 6, pp. 410-424, Nov-Dec 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/SEMI_SUPERVISED_MACHINE_LEARNING_APPROACH_FOR_DDOS_DETECTION_ijariie15606.pdf [Accessed : ].
Turabian Mondi Surya Prabha,, and G.M.Padmaja, (Assistant Professor). "SEMI-SUPERVISED MACHINE LEARNING APPROACH FOR DDOS DETECTION." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 6 ().
Vancouver Mondi Surya Prabha,, and G.M.Padmaja, (Assistant Professor). SEMI-SUPERVISED MACHINE LEARNING APPROACH FOR DDOS DETECTION. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : ]; 7(6) : 410-424. Available from: https://ijariie.com/AdminUploadPdf/SEMI_SUPERVISED_MACHINE_LEARNING_APPROACH_FOR_DDOS_DETECTION_ijariie15606.pdf
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