iosr-jmca   Volume-13 ~ Issue-2 ~ Mar.-Apr. 2026

ABSTRACT: Intrusion detection systems are used to find the best possible ways to protect IoT networks and the need for defense methods that detect attackers. Intrusion detection systems help the network to resist external attacks.However, it is difficult to use traditional IDS techniques in IoT due to its specific characteristics such as resource- intensive devices, limited specific protocol stacks, and standards. In fact, the new features and mechanisms of IoTcannot be provided by conventional security protocols used in the Internet. In the study deep learning algorithm, classification is done...

Keywords: IOT, Feature Selection, Recurrent Neural Networks, GRU

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ABSTRACT: The efficacy of urban parcel delivery system requires reliable, secure and convenient way of storage solutions. This research examines the usability, security and user acceptanceof an Internet of Things (IoT) enabled smart locker system deployed for the urban environment. The system integrates electronic locks, embedded sensors and mobile apps that ensures controlled access and real time monitoring. The study deployed prototype and stakeholder surveys and measures the improvement in delivery efficiency, parcel security and user satisfaction. The findings implies that IoT based lockers enhance locker utilization, lessen the risk of theft, and as well welcomed by end-users when designed with intuitive interfaces. This study highlights the possibility of scalable smart locker systems to improve urban logistics while handling the end-user adoption challenges.

Keywords: IoT, Smart Locker, Urban Logistics, Security, User Acceptance, Blynk IoT

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[2]. W. U. Khan, “Iot-Based Smart Lockers: A Validation For The Saudi Arabian Market,” Journal Of Business And Management Studies (Jbms), Vol. 7, No. 1, 2025.
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