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Charidimos Chaintoutis

Researcher at National and Kapodistrian University of Athens

Publications -  8
Citations -  121

Charidimos Chaintoutis is an academic researcher from National and Kapodistrian University of Athens. The author has contributed to research in topics: Physical unclonable function & Topology (electrical circuits). The author has an hindex of 4, co-authored 8 publications receiving 76 citations.

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Journal ArticleDOI

Physical Unclonable Function based on a Multi-Mode Optical Waveguide.

TL;DR: The proposed configuration enables the system’s response to be simultaneously governed by multiple physical scrambling mechanisms, thus offering a radical performance enhancement in terms of physical unclonability compared to conventional optical implementations.
Journal ArticleDOI

Free Space Intra-Datacenter Interconnects Based on 2D Optical Beam Steering Enabled by Photonic Integrated Circuits

TL;DR: A novel free space optical interconnect solution for intra-data center networks that utilizes 2D optical beam steering for the transmitter, and high bandwidth wide-area photodiode arrays for the receiver is introduced.
Book ChapterDOI

Random Number Generation from a Secure Photonic Physical Unclonable Hardware Module

TL;DR: The proposed scheme allows the generation of random bit- strings, through a simple wavelength tuning of the laser source, that are suitable for a variety of cryptographic applications.
Journal ArticleDOI

Optical PUFs as physical root of trust for blockchain-driven applications

TL;DR: A novel optical PUF implementation that can be combined with private blockchain modalities in order to cyber-harden Internet of things ecosystems is proposed.
Posted Content

Photonic Pseudo-Random Number Generator for Internet-of-Things Authentication using a Waveguide based Physical Unclonable Function.

TL;DR: A physical unclonable function based on a polymer optical waveguide, as a time-invariant, replication-resilient, source of entropy, and a mutual authentication implementation scenario which is fully compatible with state-of-the-art commercial Internet-Of-Things architectures are experimentally evaluated.