{"id":238560,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00238560","sets":["1164:3616:11475:11763"]},"path":["11763"],"owner":"44499","recid":"238560","title":["Malware Detection Using LC-KSVD with Sparse Random Projection"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-08-28"},"_buckets":{"deposit":"cae77b61-1432-40dc-841e-b79923cfcfb7"},"_deposit":{"id":"238560","pid":{"type":"depid","value":"238560","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Malware Detection Using LC-KSVD with Sparse Random Projection","author_link":["653338","653336","653337","653339"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Malware Detection Using LC-KSVD with Sparse Random Projection"},{"subitem_title":"Malware Detection Using LC-KSVD with Sparse Random Projection","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2024-08-28","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Engineering and Science, University of the Ryukyus"},{"subitem_text_value":"Information Technology Center, University of the Ryukyus"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Engineering and Science, University of the Ryukyus","subitem_text_language":"en"},{"subitem_text_value":"Information Technology Center, University of the Ryukyus","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/238560/files/IPSJ-AVM24125025.pdf","label":"IPSJ-AVM24125025.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-AVM24125025.pdf","filesize":[{"value":"1.8 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"27"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"615d7d78-9a3a-46c3-82c4-d20118ccfd6a","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Aziz, Urahman Shafaq"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takayuki, Nakachi"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Aziz, Urahman Shafaq","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takayuki, Nakachi","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10438399","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8582","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Malware detection is increasingly challenging due to the sophistication of threats. This study presents a small data driven malware detection approach that integrates Label Consistent K-SVD (LC-KSVD) with Sparse Random Projection (SRP). SRP effectively reduces the dimensionality of high-dimensional malware image data while maintaining its core structure, and LC-KSVD, which incorporates label information, refines dictionary learning for better classification. The unified objective function, optimized using K-SVD, combines reconstruction and classification errors. The approach is evaluated based on classification accuracy, computational complexity. Simulation results demonstrate that LC-KSVD with SRP achieves better classification accuracy compared to LC-KSVD with traditional dimensionality reduction methods, potentially advancing the field of malware detection and cybersecurity.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Malware detection is increasingly challenging due to the sophistication of threats. This study presents a small data driven malware detection approach that integrates Label Consistent K-SVD (LC-KSVD) with Sparse Random Projection (SRP). SRP effectively reduces the dimensionality of high-dimensional malware image data while maintaining its core structure, and LC-KSVD, which incorporates label information, refines dictionary learning for better classification. The unified objective function, optimized using K-SVD, combines reconstruction and classification errors. The approach is evaluated based on classification accuracy, computational complexity. Simulation results demonstrate that LC-KSVD with SRP achieves better classification accuracy compared to LC-KSVD with traditional dimensionality reduction methods, potentially advancing the field of malware detection and cybersecurity.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告オーディオビジュアル複合情報処理（AVM）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-08-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"25","bibliographicVolumeNumber":"2024-AVM-125"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T08:31:45.228394+00:00","created":"2025-01-19T01:41:51.809278+00:00","links":{}}