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Title: :  Network Intrusion Detection Using ADASYN and Hybrid Residual Blocks
PaperId: :  23473
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-23473
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Ashwini Mahadev RathodUVCE Banglore

Abstract

Computer Engineering
unbalanced data collection, residual neural network, adaptive synthetic sampling, and intrusion traffic detection
An approach based on adaptive synthesis is presented to address the issues of low accuracy in classification and inadequate small sample feature collection of current intrusion traffic detection models. Enhanced residual network approach that makes use of Inception-Resnet and sampling modules. When applied to unbalanced data sets, this approach can efficiently optimize sampling and enhance the model limited capacity to extract features from a small sample. The unbalanced data training set is first oversampled to enhance the data distribution, then the non-data portion is subsequently separately. To simplify preparation, hot storing is processed and combined with the data portion. Lastly, data training, algorithm performance comparison, and performance evaluation are conducted using the refined residual network model. According to experimental findings, the enhanced residual network model can identify intrusion traffic with an accuracy of between 89.40% and 91.88%. The enhanced residual network model outperforms the traditional deep learning technique for performance, dependability & to detect intrusion.

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IJARIIE Ashwini Mahadev Rathod. "Network Intrusion Detection Using ADASYN and Hybrid Residual Blocks" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 5093-5102
MLA Ashwini Mahadev Rathod. "Network Intrusion Detection Using ADASYN and Hybrid Residual Blocks." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 5093-5102.
APA Ashwini Mahadev Rathod. (2024). Network Intrusion Detection Using ADASYN and Hybrid Residual Blocks. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 5093-5102.
Chicago Ashwini Mahadev Rathod. "Network Intrusion Detection Using ADASYN and Hybrid Residual Blocks." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 5093-5102.
Oxford Ashwini Mahadev Rathod. 'Network Intrusion Detection Using ADASYN and Hybrid Residual Blocks', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 5093-5102. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Network_Intrusion_Detection_Using_ADASYN_and_Hybrid_Residual_Blocks_ijariie23473.pdf (Accessed : ).
Harvard Ashwini Mahadev Rathod. (2024) 'Network Intrusion Detection Using ADASYN and Hybrid Residual Blocks', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 5093-5102IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Network_Intrusion_Detection_Using_ADASYN_and_Hybrid_Residual_Blocks_ijariie23473.pdf (Accessed : )
IEEE Ashwini Mahadev Rathod, "Network Intrusion Detection Using ADASYN and Hybrid Residual Blocks," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 5093-5102, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Network_Intrusion_Detection_Using_ADASYN_and_Hybrid_Residual_Blocks_ijariie23473.pdf [Accessed : ].
Turabian Ashwini Mahadev Rathod. "Network Intrusion Detection Using ADASYN and Hybrid Residual Blocks." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver Ashwini Mahadev Rathod. Network Intrusion Detection Using ADASYN and Hybrid Residual Blocks. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 5093-5102. Available from: https://ijariie.com/AdminUploadPdf/Network_Intrusion_Detection_Using_ADASYN_and_Hybrid_Residual_Blocks_ijariie23473.pdf
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