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Yannis Nikoloudakis

Researcher at Mediterranean University

Publications -  17
Citations -  644

Yannis Nikoloudakis is an academic researcher from Mediterranean University. The author has contributed to research in topics: Cloud computing & The Internet. The author has an hindex of 7, co-authored 16 publications receiving 229 citations. Previous affiliations of Yannis Nikoloudakis include University of the Aegean & Technological Educational Institute of Crete.

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A Survey on the Internet of Things (IoT) Forensics: Challenges, Approaches, and Open Issues

TL;DR: The purpose of this paper is to identify and discuss the main issues involved in the complex process of IoT-based investigations, particularly all legal, privacy and cloud security challenges, as well as some promising cross-cutting data reduction and forensics intelligence techniques.
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A Fog-Based Emergency System for Smart Enhanced Living Environments

TL;DR: In this article, a virtualized fog-based infrastructure for harvesting and managing distributed IT resources, shifting the entire cloud functionality to the network edge, and utilizing the cloud in an assistive manner to ensure system robustness.
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Vulnerability assessment as a service for fog-centric ICT ecosystems: A healthcare use case

TL;DR: A cross-layered system, which leverages the Software Defined Networking (SDN) paradigm and the distributed Fog architecture, for network slicing and task offloading to provide dynamic, security-aware Vulnerability-Assessment as a service for large ICT infrastructures is proposed.
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A Hardware Acceleration Platform for AI-Based Inference at the Edge

TL;DR: This paper presents an FPGA system-on-chip-based architecture that supports the acceleration of ML algorithms in an edge environment and demonstrates the efficacy of this architecture by executing a version of the well-known YOLO classifier.
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Towards a Machine Learning Based Situational Awareness Framework for Cybersecurity: An SDN Implementation.

TL;DR: In this article, a machine learning-based situational awareness framework that detects existing and newly introduced network-enabled entities, utilizing the real-time awareness feature provided by the SDN paradigm, assesses them against known vulnerabilities, and assigns them to a connectivity-appropriate network slice.