2023
DOI: 10.3390/electronics12244929
|View full text |Cite
|
Sign up to set email alerts
|

Integrating Lorenz Hyperchaotic Encryption with Ring Oscillator Physically Unclonable Functions (RO-PUFs) for High-Throughput Internet of Things (IoT) Applications

Alexander Magyari,
Yuhua Chen

Abstract: With the combined call for increased network throughput and security comes the need for high-bandwidth, unconditionally secure systems. Through the combination of true random number generators (TRNGs) for unique seed values, and four-dimensional Lorenz hyperchaotic systems implemented on a Stratix 10 Intel FPGA, we are able to implement 60 MB/s encryption/decryption schemes with 0% data loss on an unconditionally secure system with the NIST standard using less than 400 mW. Further, the TRNG implementation allo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 55 publications
0
1
0
Order By: Relevance
“…Integrating chaotic signals with coherent modulation techniques enhances security in IoT systems [15]. These signals find applications in fields like random number generation [16,17], encryption [18][19][20][21], radar systems [22][23][24], and IoT communications [25][26][27]. The versatility of chaotic signals in generating analog signals and digital logistic maps drives interest, particularly in FPGAbased image encryption using chaotic logistic maps [28][29][30].…”
Section: Introductionmentioning
confidence: 99%
“…Integrating chaotic signals with coherent modulation techniques enhances security in IoT systems [15]. These signals find applications in fields like random number generation [16,17], encryption [18][19][20][21], radar systems [22][23][24], and IoT communications [25][26][27]. The versatility of chaotic signals in generating analog signals and digital logistic maps drives interest, particularly in FPGAbased image encryption using chaotic logistic maps [28][29][30].…”
Section: Introductionmentioning
confidence: 99%