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Jouni Isoaho

Researcher at University of Turku

Publications -  102
Citations -  1623

Jouni Isoaho is an academic researcher from University of Turku. The author has contributed to research in topics: Network on a chip & Control reconfiguration. The author has an hindex of 16, co-authored 100 publications receiving 1192 citations. Previous affiliations of Jouni Isoaho include Information Technology University.

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End-to-end security scheme for mobility enabled healthcare Internet of Things

TL;DR: The proposed scheme consists of a secure and efficient end-user authentication and authorization architecture based on the certificate based DTLS handshake, secure end-to-end communication based on session resumption, and robust mobility based on interconnected smart gateways.
Journal ArticleDOI

From information seeking to information avoidance: Understanding the health information behavior during a global health crisis

TL;DR: A model to understand the effect of information seeking, information sources, and information overload (Stimuli) on information anxiety (psychological organism), and consequent behavioral response, information avoidance during the global health crisis (COVID-19) is proposed.
Journal ArticleDOI

SEA: A Secure and Efficient Authentication and Authorization Architecture for IoT-Based Healthcare Using Smart Gateways

TL;DR: In this paper, a secure and efficient authentication and authorization architecture for IoT-based healthcare is developed, which is based on a secure authentication scheme for patients' medical data and authentication.
Proceedings ArticleDOI

A new VLSI-oriented FFT algorithm and implementation

TL;DR: A new VLSI-oriented fast Fourier transform (FFT) algorithm-radix-2/4/8, which can effectively minimize the number of complex multiplications and is designed for use in the DVB application in 0.3 V triple-metal CMOS process.
Proceedings ArticleDOI

Distributed internal anomaly detection system for Internet-of-Things

TL;DR: An overview of a distributed internal anomaly detection system for Internet-of-things, which uses network fingerprinting to be aware of changes in network topology and nodes' positions without any assistance from a positioning system is presented.