Mobile Device Security: A Two-Layered Approach with Blockchain and Sensor Technology for Theft Prevention

Main Article Content

Nitima Malsa
Rachna Jain
S.B. Goyal

Abstract

In the backdrop of the escalating incidents of mobile device theft and associated security challenges, a resilient and innovative solution is imperative. The traditional security mechanisms, largely reliant on the International Mobile Equipment Identity (IMEI), have been fraught with vulnerabilities, leading to a surge in incidents of device theft and data breaches. Addressing this pressing issue, we present a novel, two-tiered approach integrating sensor technology and blockchain to bolster mobile device security. This work aims to create and assess a dual-layered security strategy that uses blockchain and sensor technologies in a complementary way. Based on a rigorous conceptual framework, it explores a two-tiered security model that intricately combines sensor and blockchain technologies. This collaborative integration aims to provide an effective solution to the widespread challenges of theft and security breaches in mobile devices. The methodology employs a sensor layer for real-time data collection and processing to detect potential thefts, and activating alerts. The blockchain layer, invoked upon these alerts, initiates secure, transparent, and decentralized transactions for verification and validation across network nodes. This dual mechanism ensures swift and secure anti-theft actions, supported by an enhanced encryption standard. Our result analysis reveals the proposed system’s superiority in computational time, energy consumption, and overall security levels when compared to existing protocols. The integration of real-time processing and blockchain’s immutable nature promises reduced false positives and enhanced data integrity. The findings indicate that this integrative approach not only mitigates theft but also ensures data security, marking a significant stride in mobile security technology. In conclusion, this two-layered system promises a scalable, efficient, and robust solution to mobile device theft and data breaches, with potential impacts transcending individual device security to influence broader data privacy and security paradigms, thus signifying a pivotal development in the field of mobile security.

Article Details

Section
Special Issue - Soft Computing & Artificial Intelligence for wire/wireless Human-Machine Interface Systems
Author Biographies

Rachna Jain, JSS Academy of Technical Education, Noida, India

Dr. Rachna Jain

Associate Professor

Deaprtment of Computer Science and Engineering

JSS Academy of Technical Education, Noida, UP, India

S.B. Goyal, Faculty of Information Technology, City University, Peatling Jaya, 46100, Malaysia

Dr. S.B. Goyal

Director

Faculty of Information Technology,City University

Peatling Jaya, 46100, Malaysia