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Call for Papers:Vol.11 Issue.3

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Title: :  Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets
PaperId: :  25013
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 5 2024
DUI:    16.0415/IJARIIE-25013
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
PRAMODH KUniversity of Visvesvaraya College of Engineering

Abstract

Computer Science & Engineering
Deep Learning, Intrusion Detection System (IDS), DoS Attacks, DDoS Attacks, UNSW-NB15 Dataset, Bot-IoT Dataset, Protocol-Based Detection, Cybersecurity
Since its inception, the Internet of Things (IoT) has witnessed mushroom growth as a breakthrough technology. In a nutshell, IoT is the integration of devices and data such that processes are automated and centralized to a certain extent. IoT is revolutionizing the way business is done and is transforming society as a whole. As this technology advances further, the need to exploit detection and weakness awareness increases to prevent unauthorized access to critical resources and business functions, thereby rendering the system unavailable. Denial of Service (DoS) and Distributed DoS attacks are all too common. In this paper, we propose a Protocol Based Deep Intrusion Detection (PB-DID) architecture, in which we created a data-set of packets from IoT traf c by comparing features from the UNSWNB15 and Bot-IoT data-sets based on ow and Transmission Control Protocol (TCP). We classify non-anomalous, DoS, and DDoS traf c uniquely by taking care of the problems like imbalanced and over- tting. We have achieved a classi cation accuracy of 96.3% by using deep learning (DL) technique.

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IJARIIE PRAMODH K. "Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 5 2024 Page 692-707
MLA PRAMODH K. "Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets." International Journal Of Advance Research And Innovative Ideas In Education 10.5(2024) : 692-707.
APA PRAMODH K. (2024). Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets. International Journal Of Advance Research And Innovative Ideas In Education, 10(5), 692-707.
Chicago PRAMODH K. "Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 5 (2024) : 692-707.
Oxford PRAMODH K. 'Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 5, 2024, p. 692-707. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Protocol_Based_Deep_Intrusion_Detection_for_DoS__and_DDoS_Attacks_Using_UNSW_NB15_and__Bot_IoT_Data_Sets_ijariie25013.pdf (Accessed : ).
Harvard PRAMODH K. (2024) 'Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets', International Journal Of Advance Research And Innovative Ideas In Education, 10(5), pp. 692-707IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Protocol_Based_Deep_Intrusion_Detection_for_DoS__and_DDoS_Attacks_Using_UNSW_NB15_and__Bot_IoT_Data_Sets_ijariie25013.pdf (Accessed : )
IEEE PRAMODH K, "Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 5, pp. 692-707, Sep-Oct 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Protocol_Based_Deep_Intrusion_Detection_for_DoS__and_DDoS_Attacks_Using_UNSW_NB15_and__Bot_IoT_Data_Sets_ijariie25013.pdf [Accessed : ].
Turabian PRAMODH K. "Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 5 ().
Vancouver PRAMODH K. Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(5) : 692-707. Available from: https://ijariie.com/AdminUploadPdf/Protocol_Based_Deep_Intrusion_Detection_for_DoS__and_DDoS_Attacks_Using_UNSW_NB15_and__Bot_IoT_Data_Sets_ijariie25013.pdf
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