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Sanaz Rahimi Moosavi

Researcher at University of Turku

Publications -  19
Citations -  960

Sanaz Rahimi Moosavi is an academic researcher from University of Turku. The author has contributed to research in topics: Key generation & Datagram Transport Layer Security. The author has an hindex of 11, co-authored 18 publications receiving 799 citations. Previous affiliations of Sanaz Rahimi Moosavi include California State University, Dominguez Hills & 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

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.

6th International Conference on Ambient Systems, Networks and Technologies (ANT 2015) SEA: A Secure and Efficient Authentication and Authorization Architecture for IoT-Based Healthcare Using Smart Gateways

TL;DR: A secure and efficient authentication and authorization architecture for IoT-based healthcare is developed and will help improve the security and privacy of patients’ medical data.
Journal ArticleDOI

On the Feasibility of Attribute-Based Encryption on Internet of Things Devices

TL;DR: A thorough evaluation confirms that adopting attribute-based encryption in the IoT is indeed feasible, considering well-known IoT platforms--specifically, Intel Galileo Gen 2, Intel Edison, Raspberry Pi 1 Model B, and Raspberry Pi Zero.
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On the Feasibility of Attribute-Based Encryption on Internet of Things Devices

TL;DR: In this article, the authors explore the feasibility of ABE in the Internet of Things (IoT) and conclude that it is indeed feasible for the IoT platforms, namely, Intel Galileo Gen 2, Intel Edison, Raspberry Pi 1 Model B, and Raspberry Pi Zero.