Results 1 to 10 of about 53 (48)
Deep PUF: A Highly Reliable DRAM PUF-Based Authentication for IoT Networks Using Deep Convolutional Neural Networks [PDF]
Sensors, 2021 Traditional authentication techniques, such as cryptographic solutions, are vulnerable to various attacks occurring on session keys and data. Physical unclonable functions (PUFs) such as dynamic random access memory (DRAM)-based PUFs are introduced as ...
Fatemeh Najafi +3 more
doaj +4 more sources
Nonvolatile Memristive Materials and Physical Modeling for In-Memory and In-Sensor Computing. [PDF]
Small SciThis review explores the utilization of memristive materials (MMs) as digital building blocks for in‐memory and in‐sensor computing. Switching mechanisms, material layer structures, MM operations, material system characteristics, theoretical studies, applications, and challenges and prospects for in‐sensor and in‐memory computations, for example, brain‐
Go SX, Lim KG, Lee TH, Loke DK.
europepmc +2 more sources
PreLatPUF: Exploiting DRAM Latency Variations for Generating Robust Device Signatures
IEEE Access, 2019 Physically unclonable functions (PUFs) are potential security blocks to generate unique and more secure keys in low-cost cryptographic applications. Dynamic random-access memory (DRAM) has been proposed as one of the promising candidates for generating ...
B. M. S. Bahar Talukder +3 more
doaj +3 more sources
In-Depth Review and Comparative Analysis of DRAM-Based PUFs
IEEE AccessDynamic Random-Access Memory Physical Unclonable Functions (DRAM PUFs) are gaining interest in hardware security, particularly for resource-constrained IoT devices such as smart sensors in the era of rapid digitalization. Since DRAM is present in most of
Yuin Yee Chew +3 more
doaj +3 more sources
Progress and Application Perspectives of Voltage‐Controlled Magnetic Tunnel Junctions
Advanced Materials Technologies, Volume 8, Issue 18, September 25, 2023., 2023 Electric‐field‐controlled magnetic tunnel junctions that use voltage‐controlled magnetic anisotropy (VCMA) for switching provide a path toward magnetic random‐access memory (MRAM) with improved density and energy efficiency. Herein, the recent progress of VCMA‐MRAM is discussed and key research opportunities, including increasing the VCMA coefficient ...
Yixin Shao, Pedram Khalili Amiri
wiley +1 more source
IET Computers &Digital Techniques, Volume 15, Issue 5, Page 321-334, September 2021., 2021 Abstract As a promising alternative to dynamic RAM, phase change memory (PCM) suffers from limited write endurance. Therefore, many research proposals on PCM security or reliability have focussed on the possible threat of wear‐out attacks from malicious applications.
Xianzhong Zhou, Ying Wang
wiley +1 more source
Secure Multiparty Computation and Trusted Hardware: Examining Adoption Challenges and Opportunities
Security and Communication Networks, Volume 2019, Issue 1, 2019., 2019 When two or more parties need to compute a common result while safeguarding their sensitive inputs, they use secure multiparty computation (SMC) techniques such as garbled circuits. The traditional enabler of SMC is cryptography, but the significant number of cryptographic operations required results in these techniques being impractical for most real ...
Joseph I. Choi +2 more
wiley +1 more source
Hardware Security in the Connected World
WIREs Data Mining and Knowledge Discovery, Volume 15, Issue 3, September 2025.Depicts the components covered in the article. ABSTRACT The rapid proliferation of the Internet of Things (IoT) has integrated billions of smart devices into our daily lives, generating and exchanging vast amounts of critical data. While this connectivity offers significant benefits, it also introduces numerous security vulnerabilities.
Durba Chatterjee +4 more
wiley +1 more source
Energy‐Aware RF Fingerprinting for Device Identification in Ultra‐Low‐Power IoT Systems
Engineering Reports, Volume 7, Issue 7, July 2025.We propose an energy‐aware RF fingerprinting method for ultra‐low‐power IoT using two deep learning models. RFNet achieves 97.48% accuracy while TinyRFNet reaches 93.19% with far fewer parameters. Dynamic model selection by battery level and confidence yields 94.54% accuracy and 17% energy savings.
Emmanuel Osei Owusu +4 more
wiley +1 more source
An Elliptic Curve Menezes–Qu–Vanston‐Based Authentication and Encryption Protocol for IoT
Wireless Communications and Mobile Computing, Volume 2024, Issue 1, 2024.The exponential growth of the Internet of Things (IoT) has led to a surge in data generation, critical for business decisions. Ensuring data authenticity and integrity over unsecured channels is vital, especially due to potential catastrophic consequences of tampered data.
Susovan Chanda +5 more
wiley +1 more source