| Title | Assessing Trustworthiness of IoT Applications Using Logic Circuits |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Laputenko, Andrey |
| Conference Name | 2021 IEEE East-West Design & Test Symposium (EWDTS) |
| Keywords | composability, Computational modeling, computationally constrained devices, Internet of Things, logic circuits, machine learning, machine learning algorithms, pubcrawl, Software, Software algorithms, Training, Trust, trustworthiness |
| Abstract | The paper describes a methodology for assessing non-functional requirements, such as trust characteristics for applications running on computationally constrained devices in the Internet of Things. The methodology is demonstrated through an example of a microcontroller-based temperature monitoring system. The concepts of trust and trustworthiness for software and devices of the Internet of Things are complex characteristics for describing the correct and secure operation of such systems and include aspects of operational and information security, reliability, resilience and privacy. Machine learning models, which are increasingly often used for such tasks in recent years, are resource-consuming software implementations. The paper proposes to use a logic circuit model to implement the above algorithms as an additional module for computationally constrained devices for checking the trustworthiness of applications running on them. Such a module could be implemented as a hardware, for example, as an FPGA in order to achieve more effectiveness. |
| DOI | 10.1109/EWDTS52692.2021.9581021 |
| Citation Key | laputenko_assessing_2021 |
Assessing Trustworthiness of IoT Applications Using Logic Circuits