N
Nikolaos Athanasios Anagnostopoulos
Researcher at Technische Universität Darmstadt
Publications - 50
Citations - 406
Nikolaos Athanasios Anagnostopoulos is an academic researcher from Technische Universität Darmstadt. The author has contributed to research in topics: Computer science & Dram. The author has an hindex of 8, co-authored 38 publications receiving 271 citations. Previous affiliations of Nikolaos Athanasios Anagnostopoulos include University of Passau.
Papers
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Book ChapterDOI
Run-Time Accessible DRAM PUFs in Commodity Devices
Wenjie Xiong,André Schaller,Nikolaos Athanasios Anagnostopoulos,Muhammad Umair Saleem,Sebastian Gabmeyer,Stefan Katzenbeisser,Jakub Szefer +6 more
TL;DR: This paper is the first to enable the run-time access of decay-based intrinsic DRAM PUFs in commercial off-the-shelf systems, which requires no additional hardware or FPGA implementations for their operation.
Proceedings ArticleDOI
Intrinsic Rowhammer PUFs: Leveraging the Rowhammer effect for improved security
André Schaller,Wenjie Xiong,Nikolaos Athanasios Anagnostopoulos,Muhammad Umair Saleem,Sebastian Gabmeyer,Stefan Katzenbeisser,Jakub Szefer +6 more
TL;DR: This work presents a new type of a memory-based intrinsic PUF, which leverages the Rowhammer effect in DRAM modules to design a novel PUF that makes use of bit flips, which occur inDRAM cells due to rapid and repeated access of DRAM rows.
Journal ArticleDOI
Decay-Based DRAM PUFs in Commodity Devices
André Schaller,Wenjie Xiong,Nikolaos Athanasios Anagnostopoulos,Muhammad Umair Saleem,Sebastian Gabmeyer,Boris Skoric,Stefan Katzenbeisser,Jakub Szefer +7 more
TL;DR: This paper focuses on a new class of run-time accessible, decay-based, intrinsic DRAM PUFs in commercial off-the-shelf systems, which requires no additional hardware or FPGA implementation for their operation.
Journal ArticleDOI
An Overview of DRAM-Based Security Primitives
TL;DR: This work presents a comprehensive overview of the literature regarding DRAM-based security primitives and an extended classification of it, based on a number of different criteria, and introduces the primitives that can be implemented using DRAM, namely Physical Unclonable Functions (PUFs) and True Random Number Generators (TRNGs).
Proceedings ArticleDOI
Employing Blockchain and Physical Unclonable Functions for Counterfeit IoT Devices Detection
Lydia Negka,Georgios Gketsios,Nikolaos Athanasios Anagnostopoulos,Georgios Spathoulas,Athanasios Kakarountas,Stefan Katzenbeisser +5 more
TL;DR: The proposed methodology is based on identifying each one of the used components through the use of PUF responses and employing blockchain technology, in order to set-up a platform for tracking the supply chain of both component and IoT devices, without requiring the existence of any central authority.