A Data-Driven Predictive Analysis on Cyber Security Threats with Key Risk Factors
Fatama Tuz Johora (1), Md Shahedul Islam Khan (2), Esrath Kanon (1),, Mohammad Abu Tareq Rony (3), Md Zubair (4), (5) Iqbal H. Sarker ((1), Department of Computer Science, Engineering, University of Chittagong,, Chattogram, Bangladesh, (2) Department of School of Electronics and

TL;DR
This paper presents a machine learning framework using socio-demographic data to predict cyber attack victims, achieving high accuracy and uncovering key risk factors through association rule analysis.
Contribution
It introduces a novel Pertinent Features Random Forest model with optimized feature selection and demonstrates its effectiveness on real-world data for cyber threat prediction.
Findings
Maximum accuracy of 95.95% with 20 features
Identified 10 key association rules among risk factors
Framework effectively predicts cyberattack victims
Abstract
Cyber risk refers to the risk of defacing reputation, monetary losses, or disruption of an organization or individuals, and this situation usually occurs by the unconscious use of cyber systems. The cyber risk is unhurriedly increasing day by day and it is right now a global threat. Developing countries like Bangladesh face major cyber risk challenges. The growing cyber threat worldwide focuses on the need for effective modeling to predict and manage the associated risk. This paper exhibits a Machine Learning(ML) based model for predicting individuals who may be victims of cyber attacks by analyzing socioeconomic factors. We collected the dataset from victims and non-victims of cyberattacks based on socio-demographic features. The study involved the development of a questionnaire to gather data, which was then used to measure the significance of features. Through data augmentation, the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNetwork Security and Intrusion Detection · Information and Cyber Security
