J3Gen: A PRNG for low-cost passive RFID

42Citations
Citations of this article
20Readers
Mendeley users who have this article in their library.

Abstract

Pseudorandom number generation (PRNG) is the main security tool in low-cost passive radio-frequency identification (RFID) technologies, such as EPC Gen2. We present a lightweight PRNG design for low-cost passive RFID tags, named J3Gen. J3Gen is based on a linear feedback shift register (LFSR) configured with multiple feedback polynomials. The polynomials are alternated during the generation of sequences via a physical source of randomness. J3Gen successfully handles the inherent linearity of LFSR based PRNGs and satisfies the statistical requirements imposed by the EPC Gen2 standard. A hardware implementation of J3Gen is presented and evaluated with regard to different design parameters, defining the key-equivalence security and nonlinearity of the design. The results of a SPICE simulation confirm the power-consumption suitability of the proposal. © 2013 by the authors; licensee MDPI, Basel, Switzerland.

References Powered by Scopus

PRESENT: An ultra-lightweight block cipher

2259Citations
N/AReaders
Get full text

Shift-Register Synthesis and BCH Decoding

1642Citations
N/AReaders
Get full text

RFID security and privacy: A research survey

1447Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Security and Privacy for the Industrial Internet of Things: An Overview of Approaches to Safeguarding Endpoints

58Citations
N/AReaders
Get full text

A hardware and secure pseudorandom generator for constrained devices

49Citations
N/AReaders
Get full text

A Lightweight Pseudorandom Number Generator for Securing the Internet of Things

24Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Melià-Seguí, J., Garcia-Alfaro, J., & Herrera-Joancomartí, J. (2013). J3Gen: A PRNG for low-cost passive RFID. Sensors (Switzerland), 13(3), 3816–3830. https://doi.org/10.3390/s130303816

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 8

67%

Researcher 3

25%

Professor / Associate Prof. 1

8%

Readers' Discipline

Tooltip

Engineering 6

38%

Computer Science 5

31%

Social Sciences 3

19%

Medicine and Dentistry 2

13%

Save time finding and organizing research with Mendeley

Sign up for free