{"_buckets": {"deposit": "05a76d7c-78ee-4877-90bd-0008d02417a7"}, "_deposit": {"id": "4472", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4472"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4472", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Three Graphical Tests for Quality Analysis of Pseudorandom Numbers", "subitem_1551255648112": "en_US"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Many cryptographic protocols requirerandom or pseudorandom inputs at variouspoints (e.g., for generating digital signatures, orin some authentication protocols).Pseudorandom numbers are critical part ofmodern computing and they are produced fromPRNGs (pseudorandom number generators). Thestrength of many cryptosystems relies on thequality of pseudorandom number generated byPRNG. As pseudorandom number plays animportant role in cryptography, many statisticaltests for analyzing the quality of pseudorandomsequence generated by PRNGs have beendeveloped. To analysis the quality of PRNGs’output key-stream, three graphical tests: (i)Groups Comparison Test (ii) Longest Runs of AllTest and (iii) Forward Appearance Test areproposed in this paper. And then this paperintended for studying important characteristicsof PRNGs) as well as randomness testing ofrandom numbers."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value": []}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-11-14"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "10045.pdf", "filesize": [{"value": "607 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 607000.0, "url": {"url": "https://meral.edu.mm/record/4472/files/10045.pdf"}, "version_id": "a705ed00-6aad-43e0-ae2e-b5f3587af75b"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Tenth International Conference On Computer Applications (ICCA 2012)", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Nyo, Aye Myat"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2012-02-28"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/2401"}, "item_title": "Three Graphical Tests for Quality Analysis of Pseudorandom Numbers", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004472", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-11-14"}, "publish_date": "2019-11-14", "publish_status": "0", "recid": "4472", "relation": {}, "relation_version_is_last": true, "title": ["Three Graphical Tests for Quality Analysis of Pseudorandom Numbers"], "weko_shared_id": -1}