Advanced International Journal for Research

E-ISSN: 3048-7641   •   Impact Factor: 9.11

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 5 (September-October 2026) Submit your research before last 3 days of October to publish your research paper in the issue of September-October.

Spoofing Detection in Mobile Environment using Machine Learning

Author(s) Prof. Divyashree K, Prof. Smitha BN, Mr. Kiran Raj SD, Ms. Rakshitha TH, Ms. Sinchana S Ediga, Ms. Vandana HT
Country India
Abstract This research proposes a machine learning-based spoofing detection system for mobile environments. The system analyzes device behavior, network activity, and sensor data to detect spoofing attacks in real time. Machine learning algorithms such as SVM, KNN, and Decision Tree improve detection accuracy and help protect user privacy, sensitive data, and mobile security.
Keywords Smartphone, Spoofing attack, Spoofing Detection, machine learning algorithms, real-time detection, Accuracy, Precision.
Field Computer > Network / Security
Published In Volume 7, Issue 4, July-August 2026
Published On 2026-07-24

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