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Theft Security System for Automatic Teller Machines Using IoT

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Advances in Information Communication Technology and Computing

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 135))

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Abstract

This research paper suggests a system that efficiently and effectively provides a mechanism of anti-theft ATM by using Internet of things and fog computing by considering two solution: First, a instant solution at the beginning of stealing using fog computing and second, cloud-based messages technique system for ATM security and preventing from being stolen by thieves and unsocial elements. As we know that technology reaches its successful step when it fulfills every section of the public or society. As nowadays, it is very common in India that the entire ATM with public money is being stolen by some unsocial elements or thieves. So, this paper proposes an ATM safety while it is being tempered and gives a new system that works using the Internet of things and fog computing methods that would make the ATM and its places very secure and establishes entirely new technologies in ATMs which provides a Theft proof system. The system gives an instant solution while the machine system is being tempered and when criminals try to steal it. Once the ATM experience any vibration, the preventive mechanism will activate and the nearby police station will receive notification messages of the location of the ATM using the cloud. The text message comprises of GPS location of ATMs and also a cautionary message. The fog computing method activates to close the outer shutter of the ATM and the microcontroller to activate the ATM in a new mode of theft preventing by switching on an inbuilt backup supply of the ATM. The remarkable advantage of this system provides the banking system a new way of anti-theft management for money and ATM as well.

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Correspondence to Vinay Verma .

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© 2021 Springer Nature Singapore Pte Ltd.

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Verma, V., Verma, A., Sharma, G., Sharma, A. (2021). Theft Security System for Automatic Teller Machines Using IoT. In: Goar, V., Kuri, M., Kumar, R., Senjyu, T. (eds) Advances in Information Communication Technology and Computing. Lecture Notes in Networks and Systems, vol 135. Springer, Singapore. https://doi.org/10.1007/978-981-15-5421-6_37

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  • DOI: https://doi.org/10.1007/978-981-15-5421-6_37

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5420-9

  • Online ISBN: 978-981-15-5421-6

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