Iot-Enabled Multi-Layered Security Framework For Intelligent Bank Locker Protection

Bank locker security demands highly reliable and tamper-proof authentication mechanisms due to increasing theft attempts, unauthorized access, and cyber-physical intrusions. Traditional locker systems rely on a single level of authentication—such as a physical key or PIN—which is susceptible to duplication, hacking, or brute force attacks. This research proposes an IoT-enabled three-layer security system for bank lockers that integrates RFID authentication, biometric verification (fingerprint/face recognition), and OTP-based access control transmitted through secure IoT platforms. Additional features include real-time intrusion detection using sensors and automatic alert generation to bank authorities and customers. The system leverages microcontrollers such as ESP32 or Raspberry Pi for network connectivity, cloud synchronization, and data logging. By implementing multi-level authentication, the security of bank lockers is significantly enhanced, reducing the risk of unauthorized access. The proposed model is cost-effective, scalable, and future-ready for integration with smart banking environments. Results demonstrate improved security reliability, greater user accountability, and rapid response mechanisms.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-31
DOI
https://doi.org/10.5281/zenodo.19356341
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Iot-Enabled Multi-Layered Security Framework For Intelligent Bank Locker Protection

IJESAT
Zenodo (CERN European Organization for Nuclear Research)
IoT-based Smart Home Systems
article

Iot-Enabled Multi-Layered Security Framework For Intelligent Bank Locker Protection

IJESAT
article en

Abstract

Bank locker security demands highly reliable and tamper-proof authentication mechanisms due to increasing theft attempts, unauthorized access, and cyber-physical intrusions. Traditional locker systems rely on a single level of authentication—such as a physical key or PIN—which is susceptible to duplication, hacking, or brute force attacks. This research proposes an IoT-enabled three-layer security system for bank lockers that integrates RFID authentication, biometric verification (fingerprint/face recognition), and OTP-based access control transmitted through secure IoT platforms. Additional features include real-time intrusion detection using sensors and automatic alert generation to bank authorities and customers. The system leverages microcontrollers such as ESP32 or Raspberry Pi for network connectivity, cloud synchronization, and data logging. By implementing multi-level authentication, the security of bank lockers is significantly enhanced, reducing the risk of unauthorized access. The proposed model is cost-effective, scalable, and future-ready for integration with smart banking environments. Results demonstrate improved security reliability, greater user accountability, and rapid response mechanisms.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 8%
IoT-based Smart Home Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.