Modified linear congruential generator to secure random number generation Article Swipe
K. Sathya
,
J. Premalatha
,
Vani Rajasekar
,
Madhan Kumar M.
,
M. Deepak
,
S. R. Manoj
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1063/5.0068654
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1063/5.0068654
Random numbers are important tools for generating secret keys, encrypting messages, or masking the content of certain protocols with a random sequence that can be deterministically generated. The nonattendance of demand about the self-decisive numbers conveyed can make genuine harm cryptographic shows, impelling weaknesses to be mishandled by the aggressors. In this paper, another pseudo - optional number generator calculating that utilizes dynamic design clock changed over to Epoch Timestamp as PRNG seed was made. The figuring utilizes a Linear Congruential Generator (LCG) tally that makes a get-together of pseudo - randomized numbers that performs numerical tasks to change numbers that has all the stores of being disconnected to the Seed. Multiplication result shows that the new PRNG calculation doesn't convey emphasized self-emphatic numbers subject to the rehash of highlight, a decent pointer that the key for flighty numbers is guaranteed about. Mathematical evaluation utilizing NIST Test Suite results focused to optional movements made flighty numbers has a completely conventional of 0.342 P-Value. For a P-Value≥0.001, a social event would be viewed as abstract with an affirmation of 99.9%. This shows that strength and weirdness were developed. Accordingly, It is astoundingly deterministic in nature and has a benevolence of Pseudo-Random Numbers. It is hence a pleasant wellspring of a social event key age for encryption, equal in the assertion plans and other cryptographic assessment restricts that improve and secure information from a security assault.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1063/5.0068654
- https://aip.scitation.org/doi/pdf/10.1063/5.0068654
- OA Status
- bronze
- References
- 6
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3210757274
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3210757274Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1063/5.0068654Digital Object Identifier
- Title
-
Modified linear congruential generator to secure random number generationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-01Full publication date if available
- Authors
-
K. Sathya, J. Premalatha, Vani Rajasekar, Madhan Kumar M., M. Deepak, S. R. ManojList of authors in order
- Landing page
-
https://doi.org/10.1063/5.0068654Publisher landing page
- PDF URL
-
https://aip.scitation.org/doi/pdf/10.1063/5.0068654Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://aip.scitation.org/doi/pdf/10.1063/5.0068654Direct OA link when available
- Concepts
-
Random number generation, Linear congruential generator, Pseudorandom number generator, Computer science, Generator (circuit theory), Self-shrinking generator, Random seed, Algorithm, Electrical engineering, Physics, Engineering, Power (physics), Induction generator, Voltage, Magnet, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
6Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3210757274 |
|---|---|
| doi | https://doi.org/10.1063/5.0068654 |
| ids.doi | https://doi.org/10.1063/5.0068654 |
| ids.mag | 3210757274 |
| ids.openalex | https://openalex.org/W3210757274 |
| fwci | 0.0 |
| type | article |
| title | Modified linear congruential generator to secure random number generation |
| biblio.issue | |
| biblio.volume | 2387 |
| biblio.last_page | 140007 |
| biblio.first_page | 140007 |
| topics[0].id | https://openalex.org/T11017 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 1.0 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1707 |
| topics[0].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[0].display_name | Chaos-based Image/Signal Encryption |
| topics[1].id | https://openalex.org/T10951 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9865999817848206 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1702 |
| topics[1].subfield.display_name | Artificial Intelligence |
| topics[1].display_name | Cryptographic Implementations and Security |
| topics[2].id | https://openalex.org/T12162 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9767000079154968 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1703 |
| topics[2].subfield.display_name | Computational Theory and Mathematics |
| topics[2].display_name | Cellular Automata and Applications |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C201866948 |
| concepts[0].level | 2 |
| concepts[0].score | 0.8340816497802734 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q228206 |
| concepts[0].display_name | Random number generation |
| concepts[1].id | https://openalex.org/C141890704 |
| concepts[1].level | 3 |
| concepts[1].score | 0.8190380930900574 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q1190228 |
| concepts[1].display_name | Linear congruential generator |
| concepts[2].id | https://openalex.org/C140642157 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5993145108222961 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1623338 |
| concepts[2].display_name | Pseudorandom number generator |
| concepts[3].id | https://openalex.org/C41008148 |
| concepts[3].level | 0 |
| concepts[3].score | 0.5978626608848572 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[3].display_name | Computer science |
| concepts[4].id | https://openalex.org/C2780992000 |
| concepts[4].level | 3 |
| concepts[4].score | 0.5358942747116089 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q17016113 |
| concepts[4].display_name | Generator (circuit theory) |
| concepts[5].id | https://openalex.org/C207768971 |
| concepts[5].level | 4 |
| concepts[5].score | 0.4732784926891327 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q17084187 |
| concepts[5].display_name | Self-shrinking generator |
| concepts[6].id | https://openalex.org/C26263659 |
| concepts[6].level | 3 |
| concepts[6].score | 0.4229195713996887 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q1886131 |
| concepts[6].display_name | Random seed |
| concepts[7].id | https://openalex.org/C11413529 |
| concepts[7].level | 1 |
| concepts[7].score | 0.21194297075271606 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q8366 |
| concepts[7].display_name | Algorithm |
| concepts[8].id | https://openalex.org/C119599485 |
| concepts[8].level | 1 |
| concepts[8].score | 0.16274484992027283 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q43035 |
| concepts[8].display_name | Electrical engineering |
| concepts[9].id | https://openalex.org/C121332964 |
| concepts[9].level | 0 |
| concepts[9].score | 0.11838436126708984 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[9].display_name | Physics |
| concepts[10].id | https://openalex.org/C127413603 |
| concepts[10].level | 0 |
| concepts[10].score | 0.10556119680404663 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[10].display_name | Engineering |
| concepts[11].id | https://openalex.org/C163258240 |
| concepts[11].level | 2 |
| concepts[11].score | 0.09880334138870239 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q25342 |
| concepts[11].display_name | Power (physics) |
| concepts[12].id | https://openalex.org/C98716924 |
| concepts[12].level | 3 |
| concepts[12].score | 0.08194512128829956 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q752750 |
| concepts[12].display_name | Induction generator |
| concepts[13].id | https://openalex.org/C165801399 |
| concepts[13].level | 2 |
| concepts[13].score | 0.06308770179748535 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q25428 |
| concepts[13].display_name | Voltage |
| concepts[14].id | https://openalex.org/C16389437 |
| concepts[14].level | 2 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q11421 |
| concepts[14].display_name | Magnet |
| concepts[15].id | https://openalex.org/C62520636 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q944 |
| concepts[15].display_name | Quantum mechanics |
| keywords[0].id | https://openalex.org/keywords/random-number-generation |
| keywords[0].score | 0.8340816497802734 |
| keywords[0].display_name | Random number generation |
| keywords[1].id | https://openalex.org/keywords/linear-congruential-generator |
| keywords[1].score | 0.8190380930900574 |
| keywords[1].display_name | Linear congruential generator |
| keywords[2].id | https://openalex.org/keywords/pseudorandom-number-generator |
| keywords[2].score | 0.5993145108222961 |
| keywords[2].display_name | Pseudorandom number generator |
| keywords[3].id | https://openalex.org/keywords/computer-science |
| keywords[3].score | 0.5978626608848572 |
| keywords[3].display_name | Computer science |
| keywords[4].id | https://openalex.org/keywords/generator |
| keywords[4].score | 0.5358942747116089 |
| keywords[4].display_name | Generator (circuit theory) |
| keywords[5].id | https://openalex.org/keywords/self-shrinking-generator |
| keywords[5].score | 0.4732784926891327 |
| keywords[5].display_name | Self-shrinking generator |
| keywords[6].id | https://openalex.org/keywords/random-seed |
| keywords[6].score | 0.4229195713996887 |
| keywords[6].display_name | Random seed |
| keywords[7].id | https://openalex.org/keywords/algorithm |
| keywords[7].score | 0.21194297075271606 |
| keywords[7].display_name | Algorithm |
| keywords[8].id | https://openalex.org/keywords/electrical-engineering |
| keywords[8].score | 0.16274484992027283 |
| keywords[8].display_name | Electrical engineering |
| keywords[9].id | https://openalex.org/keywords/physics |
| keywords[9].score | 0.11838436126708984 |
| keywords[9].display_name | Physics |
| keywords[10].id | https://openalex.org/keywords/engineering |
| keywords[10].score | 0.10556119680404663 |
| keywords[10].display_name | Engineering |
| keywords[11].id | https://openalex.org/keywords/power |
| keywords[11].score | 0.09880334138870239 |
| keywords[11].display_name | Power (physics) |
| keywords[12].id | https://openalex.org/keywords/induction-generator |
| keywords[12].score | 0.08194512128829956 |
| keywords[12].display_name | Induction generator |
| keywords[13].id | https://openalex.org/keywords/voltage |
| keywords[13].score | 0.06308770179748535 |
| keywords[13].display_name | Voltage |
| language | en |
| locations[0].id | doi:10.1063/5.0068654 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S2764696622 |
| locations[0].source.issn | 0094-243X, 1551-7616, 1935-0465 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 0094-243X |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | AIP conference proceedings |
| locations[0].source.host_organization | https://openalex.org/P4310320257 |
| locations[0].source.host_organization_name | American Institute of Physics |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320257 |
| locations[0].source.host_organization_lineage_names | American Institute of Physics |
| locations[0].license | |
| locations[0].pdf_url | https://aip.scitation.org/doi/pdf/10.1063/5.0068654 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | proceedings-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | AIP Conference Proceedings |
| locations[0].landing_page_url | https://doi.org/10.1063/5.0068654 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5110576985 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | K. Sathya |
| authorships[0].countries | IN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I15664174 |
| authorships[0].affiliations[0].raw_affiliation_string | Assistant Professor, Department of Computer Science Engineering, Kongu Engineering College, Perundurai, India |
| authorships[0].institutions[0].id | https://openalex.org/I15664174 |
| authorships[0].institutions[0].ror | https://ror.org/05ghahk68 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I15664174 |
| authorships[0].institutions[0].country_code | IN |
| authorships[0].institutions[0].display_name | Madurai Medical College |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | None Sathya K. |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Assistant Professor, Department of Computer Science Engineering, Kongu Engineering College, Perundurai, India |
| authorships[1].author.id | https://openalex.org/A5074202998 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | J. Premalatha |
| authorships[1].countries | IN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I15664174 |
| authorships[1].affiliations[0].raw_affiliation_string | Professor, Department of Information Technology, Kongu Engineering College, Perundurai, India |
| authorships[1].institutions[0].id | https://openalex.org/I15664174 |
| authorships[1].institutions[0].ror | https://ror.org/05ghahk68 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I15664174 |
| authorships[1].institutions[0].country_code | IN |
| authorships[1].institutions[0].display_name | Madurai Medical College |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | None Premalatha J. |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Professor, Department of Information Technology, Kongu Engineering College, Perundurai, India |
| authorships[2].author.id | https://openalex.org/A5068573207 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-1851-6526 |
| authorships[2].author.display_name | Vani Rajasekar |
| authorships[2].countries | IN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I15664174 |
| authorships[2].affiliations[0].raw_affiliation_string | Assistant Professor, Department of Computer Science Engineering, Kongu Engineering College, Perundurai, India |
| authorships[2].institutions[0].id | https://openalex.org/I15664174 |
| authorships[2].institutions[0].ror | https://ror.org/05ghahk68 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I15664174 |
| authorships[2].institutions[0].country_code | IN |
| authorships[2].institutions[0].display_name | Madurai Medical College |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Vani Rajasekar |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Assistant Professor, Department of Computer Science Engineering, Kongu Engineering College, Perundurai, India |
| authorships[3].author.id | https://openalex.org/A5097578085 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Madhan Kumar M. |
| authorships[3].affiliations[0].raw_affiliation_string | UG Scholar, Dept of CT-UG, Kongu Engineering College, Perundurai, India |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Madhan Kumar M. |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | UG Scholar, Dept of CT-UG, Kongu Engineering College, Perundurai, India |
| authorships[4].author.id | https://openalex.org/A5018682925 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | M. Deepak |
| authorships[4].affiliations[0].raw_affiliation_string | UG Scholar, Dept of CT-UG, Kongu Engineering College, Perundurai, India |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | None Deepak M. |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | UG Scholar, Dept of CT-UG, Kongu Engineering College, Perundurai, India |
| authorships[5].author.id | https://openalex.org/A5097525743 |
| authorships[5].author.orcid | |
| authorships[5].author.display_name | S. R. Manoj |
| authorships[5].affiliations[0].raw_affiliation_string | UG Scholar, Dept of CT-UG, Kongu Engineering College, Perundurai, India |
| authorships[5].author_position | last |
| authorships[5].raw_author_name | None Manoj S. R. |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | UG Scholar, Dept of CT-UG, Kongu Engineering College, Perundurai, India |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://aip.scitation.org/doi/pdf/10.1063/5.0068654 |
| open_access.oa_status | bronze |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Modified linear congruential generator to secure random number generation |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11017 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 1.0 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1707 |
| primary_topic.subfield.display_name | Computer Vision and Pattern Recognition |
| primary_topic.display_name | Chaos-based Image/Signal Encryption |
| related_works | https://openalex.org/W2015880590, https://openalex.org/W2775374936, https://openalex.org/W2068428530, https://openalex.org/W1510406419, https://openalex.org/W2772380824, https://openalex.org/W2062045810, https://openalex.org/W2016239421, https://openalex.org/W44435986, https://openalex.org/W2083621962, https://openalex.org/W2153122499 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1063/5.0068654 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2764696622 |
| best_oa_location.source.issn | 0094-243X, 1551-7616, 1935-0465 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 0094-243X |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | AIP conference proceedings |
| best_oa_location.source.host_organization | https://openalex.org/P4310320257 |
| best_oa_location.source.host_organization_name | American Institute of Physics |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320257 |
| best_oa_location.source.host_organization_lineage_names | American Institute of Physics |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://aip.scitation.org/doi/pdf/10.1063/5.0068654 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | proceedings-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | AIP Conference Proceedings |
| best_oa_location.landing_page_url | https://doi.org/10.1063/5.0068654 |
| primary_location.id | doi:10.1063/5.0068654 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S2764696622 |
| primary_location.source.issn | 0094-243X, 1551-7616, 1935-0465 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 0094-243X |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | AIP conference proceedings |
| primary_location.source.host_organization | https://openalex.org/P4310320257 |
| primary_location.source.host_organization_name | American Institute of Physics |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320257 |
| primary_location.source.host_organization_lineage_names | American Institute of Physics |
| primary_location.license | |
| primary_location.pdf_url | https://aip.scitation.org/doi/pdf/10.1063/5.0068654 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | proceedings-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | AIP Conference Proceedings |
| primary_location.landing_page_url | https://doi.org/10.1063/5.0068654 |
| publication_date | 2021-01-01 |
| publication_year | 2021 |
| referenced_works | https://openalex.org/W1564219727, https://openalex.org/W2772136383, https://openalex.org/W4251087719, https://openalex.org/W2281648950, https://openalex.org/W1548197644, https://openalex.org/W3034196892 |
| referenced_works_count | 6 |
| abstract_inverted_index.- | 55, 90 |
| abstract_inverted_index.a | 19, 78, 86, 130, 157, 164, 166, 196, 204, 208, 231 |
| abstract_inverted_index.In | 50 |
| abstract_inverted_index.It | 188, 201 |
| abstract_inverted_index.an | 175 |
| abstract_inverted_index.as | 70, 172 |
| abstract_inverted_index.be | 24, 45, 170 |
| abstract_inverted_index.by | 47 |
| abstract_inverted_index.in | 192, 216 |
| abstract_inverted_index.is | 139, 189, 202 |
| abstract_inverted_index.of | 15, 29, 88, 105, 128, 160, 177, 198, 207 |
| abstract_inverted_index.or | 11 |
| abstract_inverted_index.to | 44, 67, 97, 108, 125, 150 |
| abstract_inverted_index.For | 163 |
| abstract_inverted_index.The | 27, 75 |
| abstract_inverted_index.age | 212 |
| abstract_inverted_index.all | 102 |
| abstract_inverted_index.and | 183, 194, 220, 227 |
| abstract_inverted_index.are | 2 |
| abstract_inverted_index.can | 23, 36 |
| abstract_inverted_index.for | 5, 136, 213 |
| abstract_inverted_index.has | 101, 156, 195 |
| abstract_inverted_index.key | 135, 211 |
| abstract_inverted_index.new | 116 |
| abstract_inverted_index.the | 13, 32, 48, 103, 109, 115, 126, 134, 217 |
| abstract_inverted_index.was | 73 |
| abstract_inverted_index.NIST | 145 |
| abstract_inverted_index.PRNG | 71, 117 |
| abstract_inverted_index.Test | 146 |
| abstract_inverted_index.This | 179 |
| abstract_inverted_index.from | 230 |
| abstract_inverted_index.harm | 39 |
| abstract_inverted_index.made | 153 |
| abstract_inverted_index.make | 37 |
| abstract_inverted_index.over | 66 |
| abstract_inverted_index.seed | 72 |
| abstract_inverted_index.that | 22, 60, 84, 93, 100, 114, 133, 181, 225 |
| abstract_inverted_index.this | 51 |
| abstract_inverted_index.were | 185 |
| abstract_inverted_index.with | 18, 174 |
| abstract_inverted_index.(LCG) | 82 |
| abstract_inverted_index.0.342 | 161 |
| abstract_inverted_index.Epoch | 68 |
| abstract_inverted_index.Seed. | 110 |
| abstract_inverted_index.Suite | 147 |
| abstract_inverted_index.about | 31 |
| abstract_inverted_index.being | 106 |
| abstract_inverted_index.clock | 64 |
| abstract_inverted_index.equal | 215 |
| abstract_inverted_index.event | 168, 210 |
| abstract_inverted_index.hence | 203 |
| abstract_inverted_index.keys, | 8 |
| abstract_inverted_index.made. | 74 |
| abstract_inverted_index.makes | 85 |
| abstract_inverted_index.other | 221 |
| abstract_inverted_index.plans | 219 |
| abstract_inverted_index.shows | 113, 180 |
| abstract_inverted_index.tally | 83 |
| abstract_inverted_index.tasks | 96 |
| abstract_inverted_index.tools | 4 |
| abstract_inverted_index.would | 169 |
| abstract_inverted_index.99.9%. | 178 |
| abstract_inverted_index.Linear | 79 |
| abstract_inverted_index.Random | 0 |
| abstract_inverted_index.about. | 141 |
| abstract_inverted_index.change | 98 |
| abstract_inverted_index.convey | 120 |
| abstract_inverted_index.decent | 131 |
| abstract_inverted_index.demand | 30 |
| abstract_inverted_index.design | 63 |
| abstract_inverted_index.nature | 193 |
| abstract_inverted_index.number | 57 |
| abstract_inverted_index.paper, | 52 |
| abstract_inverted_index.pseudo | 54, 89 |
| abstract_inverted_index.random | 20 |
| abstract_inverted_index.rehash | 127 |
| abstract_inverted_index.result | 112 |
| abstract_inverted_index.secret | 7 |
| abstract_inverted_index.secure | 228 |
| abstract_inverted_index.shows, | 41 |
| abstract_inverted_index.social | 167, 209 |
| abstract_inverted_index.stores | 104 |
| abstract_inverted_index.viewed | 171 |
| abstract_inverted_index.another | 53 |
| abstract_inverted_index.certain | 16 |
| abstract_inverted_index.changed | 65 |
| abstract_inverted_index.content | 14 |
| abstract_inverted_index.doesn't | 119 |
| abstract_inverted_index.dynamic | 62 |
| abstract_inverted_index.flighty | 137, 154 |
| abstract_inverted_index.focused | 149 |
| abstract_inverted_index.genuine | 38 |
| abstract_inverted_index.improve | 226 |
| abstract_inverted_index.masking | 12 |
| abstract_inverted_index.numbers | 1, 34, 92, 99, 123, 138, 155 |
| abstract_inverted_index.pointer | 132 |
| abstract_inverted_index.results | 148 |
| abstract_inverted_index.subject | 124 |
| abstract_inverted_index.Numbers. | 200 |
| abstract_inverted_index.P-Value. | 162 |
| abstract_inverted_index.abstract | 173 |
| abstract_inverted_index.assault. | 233 |
| abstract_inverted_index.conveyed | 35 |
| abstract_inverted_index.figuring | 76 |
| abstract_inverted_index.optional | 56, 151 |
| abstract_inverted_index.performs | 94 |
| abstract_inverted_index.pleasant | 205 |
| abstract_inverted_index.security | 232 |
| abstract_inverted_index.sequence | 21 |
| abstract_inverted_index.strength | 182 |
| abstract_inverted_index.utilizes | 61, 77 |
| abstract_inverted_index.Generator | 81 |
| abstract_inverted_index.Timestamp | 69 |
| abstract_inverted_index.assertion | 218 |
| abstract_inverted_index.generator | 58 |
| abstract_inverted_index.impelling | 42 |
| abstract_inverted_index.important | 3 |
| abstract_inverted_index.messages, | 10 |
| abstract_inverted_index.movements | 152 |
| abstract_inverted_index.numerical | 95 |
| abstract_inverted_index.protocols | 17 |
| abstract_inverted_index.restricts | 224 |
| abstract_inverted_index.utilizing | 144 |
| abstract_inverted_index.weirdness | 184 |
| abstract_inverted_index.assessment | 223 |
| abstract_inverted_index.completely | 158 |
| abstract_inverted_index.developed. | 186 |
| abstract_inverted_index.emphasized | 121 |
| abstract_inverted_index.encrypting | 9 |
| abstract_inverted_index.evaluation | 143 |
| abstract_inverted_index.generated. | 26 |
| abstract_inverted_index.generating | 6 |
| abstract_inverted_index.guaranteed | 140 |
| abstract_inverted_index.highlight, | 129 |
| abstract_inverted_index.mishandled | 46 |
| abstract_inverted_index.randomized | 91 |
| abstract_inverted_index.weaknesses | 43 |
| abstract_inverted_index.wellspring | 206 |
| abstract_inverted_index.affirmation | 176 |
| abstract_inverted_index.aggressors. | 49 |
| abstract_inverted_index.benevolence | 197 |
| abstract_inverted_index.calculating | 59 |
| abstract_inverted_index.calculation | 118 |
| abstract_inverted_index.encryption, | 214 |
| abstract_inverted_index.information | 229 |
| abstract_inverted_index.Accordingly, | 187 |
| abstract_inverted_index.Congruential | 80 |
| abstract_inverted_index.Mathematical | 142 |
| abstract_inverted_index.astoundingly | 190 |
| abstract_inverted_index.conventional | 159 |
| abstract_inverted_index.disconnected | 107 |
| abstract_inverted_index.get-together | 87 |
| abstract_inverted_index.Pseudo-Random | 199 |
| abstract_inverted_index.cryptographic | 40, 222 |
| abstract_inverted_index.deterministic | 191 |
| abstract_inverted_index.nonattendance | 28 |
| abstract_inverted_index.self-decisive | 33 |
| abstract_inverted_index.self-emphatic | 122 |
| abstract_inverted_index.Multiplication | 111 |
| abstract_inverted_index.P-Value≥0.001, | 165 |
| abstract_inverted_index.deterministically | 25 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5110576985 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| corresponding_institution_ids | https://openalex.org/I15664174 |
| citation_normalized_percentile.value | 0.14155173 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |