Results 91 to 100 of about 254 (128)

Enhancing Syslog Message Security and Reliability over Unidirectional Fiber Optics. [PDF]

Sensors (Basel)
Anton AA, Csereoka P, Capota EA, Cioargă RD.   +3 more
europepmc   +1 more source

Lightweight three-factor authentication protocol for 6G-enabled healthcare systems using Chebyshev chaotic maps and BioHashing. [PDF]

Sci Rep
Abbas AM, Nasr ME, Abdelfatah RI.
europepmc   +1 more source

An IoT based remote medical diagnosis system using one time pad cipher over MQTT protocol. [PDF]

Sci Rep
Kumar NR, Krishnan RB, Vairavasundaram S, Manikandan G, V I, Ravi L.   +5 more
europepmc   +1 more source

Ni-Doped SnO₂ Gas Sensor Array Enabled High-Randomness PUF for Hardware Security Applications. [PDF]

Micromachines (Basel)
Ji Z, Zhang X, Chen Z, Wang S, Zhang W, Ye H, Li X.   +6 more
europepmc   +1 more source

An overview of critical applications of resistive random access memory. [PDF]

Nanoscale Adv
Zahoor F, Nisar A, Bature UI, Abbas H, Bashir F, Chattopadhyay A, Kaushik BK, Alzahrani A, Hussin FA.   +8 more
europepmc   +1 more source

Advantages of imperfect dice rolls over coin flips for random number generation. [PDF]

Sci Rep
Pfeffer DT, Allemang CR, Misra S, Severa W, Smith JD.   +4 more
europepmc   +1 more source

A Proposal of Secure and Automated Over-the-Air Firmware Update Mechanism for IoT Devices Using Continuous Integration and Continuous Delivery. [PDF]

Sensors (Basel)
Noprianto, Funabiki N, Kyaw HHS, Brata KC, Kotama IND.   +4 more
europepmc   +1 more source

Optimizing FPGA implementation of high-precision chaotic systems for improved performance. [PDF]

PLoS One
Damaj I, Zaher A, Lawand W.
europepmc   +1 more source

Area-Time-Efficient Secure Comb Scalar Multiplication Architecture Based on Recoding. [PDF]

Micromachines (Basel)
Zhang Z, Wang W, Zhang J, He X, Ma M, Ren S, Dang H.   +6 more
europepmc   +1 more source

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Parallel, True Random Number Generator (P-TRNG): Using Parallelism for Fast True Random Number Generation in Hardware

2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC), 2021
Currently, True Random Number Generation (TRNG) is relatively slow, utilizing natural, physical processes as its entropy source. Other types of random numbers, such as Pseudo-Random Numbers, lack true randomness as eventually they repeat, but can be generated with great speed.
Khaled Elleithy, Thomas Arciuolo
exaly   +2 more sources