Hardware Based True Random Number Generator (TRNG) / (Record no. 603136)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01908nam a22001817a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | NUST |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | 0 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 621.382,ZIA |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Zia, Usama |
| 245 ## - TITLE STATEMENT | |
| Title | Hardware Based True Random Number Generator (TRNG) / |
| Remainder of title | Maj Usama Zia, Maj Yaruq Shah, Maj Fahad Salahudin and Capt Sharjeel Mansoor. (BETE-56) |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | MCS, NUST |
| Name of producer, publisher, distributor, manufacturer | Rawalpindi |
| Date of production, publication, distribution, manufacture, or copyright notice | 2023 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 49 p |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Random numbers are crucial in various fields, like generating cipher keys in cryptography, ensuring fairness and randomness in online gaming platforms, modelling random events and procsses accurately in simulations, and producing random samples for scientific experiments. In recent years, true random number generators (TRNGs) have become increasingly popular due to their<br/>ability to produce unpredictable and unbiased random numbers. This project aims to design and implement a TRNG using a combination of a random bit generator version 3 (RBG3) and a deterministic random bit generator (DRBG) based on the Advanced Encryption Standard (AES) 256 algorithm, in accordance with the National Institute of Standards and Technology (NIST)<br/>guidelines. RBG3 is a type of TRNG that utilizes the principle of entropy, which refers to the unpredictability of a random event. Entropy is generated by measuring physical phenomena, such as ring oscillator and zener diode breakdown, subsequently converting the analog values into random bits using a microcontroller. DRBGs, on the other hand, generate random numbers based<br/>on a deterministic algorithm and a secret seed value. The evaluation of the TRNG's performance using various health tests will provide insights into its strengths and limitations which will allow further improvements to be made before being deployed. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | UG EE Project |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | BETE-56 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervisor Faisal Akram |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Project Report |
| Withdrawn status | Permanent Location | Current Location | Shelving location | Date acquired | Full call number | Barcode | Koha item type |
|---|---|---|---|---|---|---|---|
| Military College of Signals (MCS) | Military College of Signals (MCS) | Reference | 09/23/2023 | 621.382,ZIA | MCSPTE-330 | Project Report |