Nikolaos Athanasios Anagnostopoulos

Publications

• Tracking Private Browsing Sessions using CPU-based Covert Channels
• On the Effects of Environmental Factors on the Functionality of Modern Dynamic Random Access Memory Modules
• Low-Temperature Data Remanence Attacks Against Intrinsic SRAM PUFs
• Authenticating the Sector Sweep to Protect Against Beam-Stealing Attacks in IEEE 802.11ad Networks
• Spying on Temperature using DRAM
• Privacy & Usability of IPTV Recommender Systems
• Security and Safety Co-Engineering of the FlexRay Bus in Vehicular Networks
• Lightweight security solutions for IoT implementations in space
• Intrinsic Run-Time Row Hammer PUFs: Leveraging the Row Hammer Effect for Run-Time Cryptography and Improved Security †
• Attacking SRAM PUFs using very-low-temperature data remanence
• Decay-Based DRAM PUFs in Commodity Devices
• Intrinsic Rowhammer PUFs: Leveraging the Rowhammer Effect for Improved Security
• DRAMNet: Authentication based on Physical Unique Features of DRAM Using Deep Convolutional Neural Networks
• An Overview of DRAM-Based Security Primitives
• Behavioral Workload Generation for IPTV
• Securing IoT Devices Using Robust DRAM PUFs
• Poster: Hierarchical Integrity Checking in Heterogeneous Vehicular Networks
• Advanced Reconfigurable Physical Unclonable Functions(AR-PUFs) and Their Security Applications
• DRAMNet: Authentication based on Physical Unique Features of DRAM Using Deep Convolutional Neural Networks
• Intrinsic Run-Time Row Hammer PUFs: Leveraging the Row Hammer Effect for Run-Time Cryptography and Improved Security †
• Decay-Based DRAM PUFs in Commodity Devices
• Addressing the Effects of Temperature Variations on Intrinsic Memory-Based Physical Unclonable Functions
• Privacy & Usability of IPTV Recommender Systems
• Low-Temperature Data Remanence Attacks Against Intrinsic SRAM PUFs
• AR-PUFs: Advanced Security Primitives for the Internet of Things and Cyber-Physical Systems
• Securing IoT Devices Using Robust DRAM PUFs
• Intrinsic Run-Time Row Hammer PUFs: Leveraging the Row Hammer Effect for Run-Time Cryptography and Improved Security
• Addressing the Effects of Temperature Variations on Intrinsic Memory-Based Physical Unclonable Functions
• Advanced Reconfigurable Physical Unclonable Functions (AR-PUFs) and Their Security Applications
• Behavioral Workload Generation for IPTV
• Poster: Hierarchical Integrity Checking in Heterogeneous Vehicular Networks
• Security and Safety Co-Engineering of the FlexRay Bus in Vehicular Networks
• Physical Unclonable Function
• Low-cost Security for Next-generation IoT Networks
• ECCTD - A Study of the Spatial Auto-Correlation of Memory-Based Physical Unclonable Functions
• Insights into the Potential Usage of the Initial Values of DRAM Arrays of Commercial Off-the-Shelf Devices for Security Applications
• DRAM-based Authentication using Deep Convolutional Neural Networks
• An investigation of the effects of radiation on current key storage solutions and on Physical Unclonable Functions (PUFs) being used as key storage
• DRAM PUFs in Commodity Devices
• Securing FlexRay-based in-vehicle networks
• SAFECOMP - Safety Meets Security: Using IEC 62443 for a Highly Automated Road Vehicle
• VNC - Using Implicit Certification to Efficiently Establish Authenticated Group Keys for In-Vehicle Networks
• An extensive classification and analysis of attacks against Physical Unclonable Functions (PUFs)
• Krypto-Tag - Addressing the Effects of Temperature Variations on Intrinsic Memory-Based Physical Unclonable Functions
• Exploring the Complicated Relationship Between Patents and Standards, With a Particular Focus on the Telecommunications Sector.
• The Role of Cost in the Integration of Security Features in Integrated Circuits for Smart Cards.
• Ear Recognition.
• Krypto-Tag - Advanced Reconfigurable Physical Unclonable Functions(AR-PUFs) and their security applications
• DRAMNet: Authentication based on Physical Unique Features of DRAM Using Deep Convolutional Neural Networks.
• A Lightweight Architecture for Hardware-Based Security in the Emerging Era of Systems of Systems
• Insights into the Potential Usage of the Initial Values of DRAM Arrays of Commercial Off-the-Shelf Devices for Security Applications
• Intrinsic Run-time Row Hammer PUFs: Leveraging the Row Hammer Effect for Run-Time Cryptography and Improved Security
• An investigation of the effects of radiation on current key storage solutions and on Physical Unclonable Functions (PUFs) being used as key storage
• Run-Time Accessible DRAM PUFs in Commodity Devices
• Insights into the Potential Usage of the Initial Values of DRAM Arrays of Commercial Off-the-Shelf Devices for Security Applications
• An extensive classification and analysis of attacks against Physical Unclonable Functions (PUFs)
• Run-time Accessible DRAM PUFs in Commodity Devices
• Intrinsic Rowhammer PUFs: Leveraging the Rowhammer Effect for Improved Security
• Low-temperature data remanence attacks against intrinsic SRAM PUFs
• Insights into the Potential Usage of the Initial Values of DRAM Arrays of Commercial Off-the-Shelf Devices for Security Applications
• An investigation of the effects of radiation on current key storage solutions and on Physical Unclonable Functions (PUFs) being used as key storage
• Low-temperature data remanence attacks against intrinsic SRAM PUFs.
• Optical fault injection attacks in smart card chips and an evaluation of countermeasures against them
• Practical DRAM PUFs in Commodity Devices.
• On the Sustainability of Lightweight Cryptography Based on PUFs Implemented on NAND Flash Memories Using Programming Disturbances
• Exploring the Complicated Relationship Between Patents and Standards, With a Particular Focus on the Telecommunications Sector
• Ear Recognition
• The Role of Cost in the Integration of Security Features in Integrated Circuits for Smart Cards
• Real-World Chaos-Based Cryptography Using Synchronised Chua Chaotic Circuits
• Using Memristor Arrays as Physical Unclonable Functions
• Practical Lightweight Security: Physical Unclonable Functions and the Internet of Things
• ADR-Lite: A Low-Complexity Adaptive Data Rate Scheme for the LoRa Network
• Fuzzy Extractors using Low-Density Parity-Check Codes
• Identification and Classification of Corrupted PUF Responses via Machine Learning
• SIGCOMM Posters and Demos - A design for a secure network of networks using a hardware and software co-engineering architecture
• Low-Temperature Attacks Against Digital Electronics: A Challenge for the Security of Superconducting Modules in High-Speed Magnetic Levitation (MagLev) Trains
• DRAMNet: Authentication based on physical unique features of DRAM using deep convolutional neural networks
• Intrinsic rowhammer PUFs: Leveraging the rowhammer effect for improved security
• Abusing Commodity DRAMs in IoT Devices to Remotely Spy on Temperature
• ADR-Lite: A Low-Complexity Adaptive Data Rate Scheme for the LoRa Network
• A Dedicated Mixed-Signal Characterisation and Testing Framework for Novel Digital Security Circuits That Use Carbon-Nanotube-Based Physical Unclonable Functions
• Secure Communication via Chaotic Cryptography
• Ear recognition
• An extensive classification and analysis of attacks against Physical Unclonable Functions (PUFs) ...
• Advanced Reconfigurable Physical Unclonable Functions (AR-PUFs) and Their Security Applications ...
• Insights into the Potential Usage of the Initial Values of DRAM Arrays of Commercial Off-the-Shelf Devices for Security Applications ...
• Addressing the Effects of Temperature Variations on Intrinsic Memory-Based Physical Unclonable Functions ...
• On the Effects of Environmental Factors on the Functionality of Modern Dynamic Random Access Memory Modules ...
• ADR-Lite:a low-complexity adaptive data rate scheme for the LoRa network
• Intrinsic Rowhammer PUFs: Leveraging the Rowhammer effect for improved security
• Insights into the Potential Usage of the Initial Values of DRAM Arrays of Commercial Off-the-Shelf Devices for Security Applications ...
• An investigation of the effects of radiation on current key storage solutions and on Physical Unclonable Functions (PUFs) being used as key storage ...
• LP-MAB: Improving the Energy Efficiency of LoRaWAN Using a Reinforcement-Learning-Based Adaptive Configuration Algorithm