Protecting user’s data stored locally on smartwatches using Ascon encryption: A Lightweight cryptography approach

Noorullah, Mohammed Sakhib (2023) Protecting user’s data stored locally on smartwatches using Ascon encryption: A Lightweight cryptography approach. Masters thesis, Dublin, National College of Ireland.

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Abstract

The advent of smart watches has ushered in a new era of wearable technology, significantly transforming the way we interact with digital information. Smartwatches have gained popularity in recent years due to their various features and functionalities, including step counter, calorie tracking, heartrate monitoring, financial services, and communication. However, these appliances possess limited bandwidth and computational capability, relying heavily on smartphones for connectivity. Smartwatches have become popular for their diverse functionalities as these devices can gather and retain a sizable quantity of personal data, including private information about your health, location, and other sensitive details. Additionally, smartwatches are susceptible to security threats, and if the user’s data that has been stored locally on these devices is not properly protected, it can be compromised. Unfortunately, not all manufacturers of affordable wearable technology have gone far enough to safeguard their clients privacy. To solve this problem, it is necessary to employ a lightweight encryption method, such as Ascon, to protect user data stored on smartwatches without straining the hardware's processing power.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Heffernan, Niall UNSPECIFIED
Uncontrolled Keywords:	Ascon; Smartwatch; Android studio; Emulator; Security; User; Data; Encryption; Decryption
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security
Divisions:	School of Computing > Master of Science in Cyber Security
Depositing User:	Tamara Malone
Date Deposited:	24 Oct 2024 18:31
Last Modified:	24 Oct 2024 18:31
URI:	https://norma.ncirl.ie/id/eprint/7139

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