Xgboost-Based Multi-Steps Cybersecurity Attacks Detection Model

• Author(s): Abhishek Hiremath ; Latha P H ; Chethan J ; Dinesh S ; Harshitha S
• Paper ID: 1710416
• Page: 621-625
• Published Date: 15-09-2025
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 9 Issue 3 September-2025

Abstract

Millions of businesses have begun to use the web in the last twenty years as an inexpensive way to connect with customers and carry out transactions with customers. Cloud-based electronic storage and information databases are commonly used on the internet. It retains information that consumers freely submit via web-based management sites, purchasing carts, logging inputs, and exploration and submitting forms. Simply, these programs, as common as they are, are highly susceptible to cyber threats and attacks that are performed by hackers. Concurrently with these advancements, developing a dependable web-based app is a challenging endeavor fraught with difficulties. Malware and other cyber threats to the privacy, security, and accessibility of networked devices are types of that threats that are challenging for web-based business sites.

Citations

IRE Journals:
Abhishek Hiremath , Latha P H , Chethan J , Dinesh S , Harshitha S "Xgboost-Based Multi-Steps Cybersecurity Attacks Detection Model" Iconic Research And Engineering Journals Volume 9 Issue 3 2025 Page 621-625

IEEE:
Abhishek Hiremath , Latha P H , Chethan J , Dinesh S , Harshitha S "Xgboost-Based Multi-Steps Cybersecurity Attacks Detection Model" Iconic Research And Engineering Journals, 9(3)