Work

A New Approach to Spyware Classification Using a 1D-Gaussian Filter on Network Packets

Year: 2024

Type: conference-paper

Abstract: The Windows operating system is the most widely used system by end users. Therefore, spyware is popular in this system. This study used a dimension (1D)-Gaussian filter to detect such infiltrations very quickly. For this purpose, a 4-class dataset obtained in a laboratory environment was used. A new approach classifies Gaussian-filtered network packets using Decision Trees (DT). Recursive Feature Elimination (RFE) was used, which gave good results for comparison. The results obtained show that the study achieved its objective.

Source: International Artificial Intelligence and Data Processing Symposium (IDAP)

DOI: 10.1109/idap64064.2024.10710346

Authors: Irfan Kilic, Orhan Yaman

Institution: Fırat University

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4403448169

FWCI: 0.443

Cites: 19

Cited by: 1

Related to: 10