Protocol-Based Deep Intrusion Detection for DoS  and DDoS Attacks Using UNSW-NB15 and  Bot-IoT Data-Sets

PRAMODH K

Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets

September 2024

Vol-10, Issue-5

Paper ID: 25013

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Science & Engineering

Keywords

Deep Learning Intrusion Detection System (IDS) DoS Attacks DDoS Attacks UNSW-NB15 Dataset Bot-IoT Dataset Protocol-Based Detection Cybersecurity

Abstract

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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Author Information

#	Name	Institute / Affiliation
1	PRAMODH K	University of Visvesvaraya College of Engineering

How to Cite

Use the following formats to cite this article in your research.

APA Style

K, PRAMODH (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.

MLA Style

K, PRAMODH. "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, pp. 692-707.

IEEE Style

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, 2024.

Vancouver Style

K PRAMODH. 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. 2024;10(5):692-707.

Harvard Style

K, PRAMODH (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. 692-707.

Chicago Style

K, PRAMODH. "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.

Turabian Style

K, PRAMODH. "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.