Predication Attacks Based on Intelligent Honeypot Technique

Authors

A. Alshahrani, Computer Science Department, Arab Open University, Riyadh, Kingdom Saudi ArabiaFollow

Abstract

Honeypot combined with machine learning techniques is offered as a model for intrusion detection presented in the current research. Recent years have seen an uptick in the number of security initiatives implemented by every type of business. This requires anticipatory analysis of a potential attack in order to achieve the desired result. Honeypots are one of the instruments used to observe malicious actors in action. A honeypot is a type of network system used to detect intrusions into computer networks by observing and analysing the actions of potential intruders in a controlled, but vulnerable, setting. Improved outcomes in terms of true positives and false positives were also presented thanks to the use of the Decision Tree (DT). Both the overall accuracy in detecting attacks and the false alarm rate are enhanced by the suggested model-based honeypot and machine learning.

Recommended Citation

Alshahrani, A. (2023) "Predication Attacks Based on Intelligent Honeypot Technique," Information Sciences Letters: Vol. 12 : Iss. 3 , PP -.
Available at: https://digitalcommons.aaru.edu.jo/isl/vol12/iss3/46