{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T12:09:58Z","timestamp":1775477398352,"version":"3.50.1"},"reference-count":24,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006234","name":"Sandia National Laboratories\u2019 Laboratory Directed Research and Development (LDRD) Program","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006234","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Hardware Acceleration of Adaptive Neural Algorithms Grand Challenge Project"},{"DOI":"10.13039\/100000015","name":"National Technology and Engineering Solutions of Sandia LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy\u2019s National Nuclear Security Administration","doi-asserted-by":"publisher","award":["DE-NA0003525"],"award-info":[{"award-number":["DE-NA0003525"]}],"id":[{"id":"10.13039\/100000015","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans.Inform.Forensic Secur."],"published-print":{"date-parts":[[2018,10]]},"DOI":"10.1109\/tifs.2018.2823697","type":"journal-article","created":{"date-parts":[[2018,4,5]],"date-time":"2018-04-05T23:47:01Z","timestamp":1522972021000},"page":"2553-2562","source":"Crossref","is-referenced-by-count":44,"title":["Sparse Coding for N-Gram Feature Extraction and Training for File Fragment Classification"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4288-2238","authenticated-orcid":false,"given":"Felix","family":"Wang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6992-8988","authenticated-orcid":false,"given":"Tu-Thach","family":"Quach","sequence":"additional","affiliation":[]},{"given":"Jason","family":"Wheeler","sequence":"additional","affiliation":[]},{"given":"James B.","family":"Aimone","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3294-4244","authenticated-orcid":false,"given":"Conrad D.","family":"James","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/SADFE.2009.21"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACPR.2011.6166711"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","article-title":"Regression shrinkage and selection via the lasso","volume":"58","author":"tibshirani","year":"1996","journal-title":"J R Statist Soc B (Methodological)"},{"key":"ref13","first-page":"19","article-title":"Online learning for matrix factorization and sparse coding","volume":"11","author":"mairal","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/S0042-6989(97)00169-7"},{"key":"ref15","author":"vapnik","year":"1998","journal-title":"Statistical Learning Theory"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.diin.2009.06.016"},{"key":"ref17","first-page":"1871","article-title":"LIBLINEAR: A library for large linear classification","volume":"9","author":"fan","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref18","first-page":"236","article-title":"A novel support vector machine approach to high entropy data fragment classification","author":"li","year":"2010","journal-title":"Proc South African Inf Secur Multi-Conf"},{"key":"ref19","author":"rijsbergen","year":"1979","journal-title":"Information Retrieval"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.diin.2010.05.004"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.diin.2012.05.008"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IAS.2007.75"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.diin.2010.05.002"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2015.09.156"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.diin.2013.08.004"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2013.2274728"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.diin.2007.06.017"},{"key":"ref9","first-page":"801","article-title":"Efficient sparse coding algorithms","author":"lee","year":"2006","journal-title":"Advances in Neural Information Processing Systems 19"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2482220"},{"key":"ref22","author":"lipton","year":"2015","journal-title":"A critical review of recurrent neural networks for sequence learning"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2015.00484"},{"key":"ref24","first-page":"1","article-title":"Sparse autoencoder","volume":"72","author":"ng","year":"2011","journal-title":"Lecture notes"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"}],"container-title":["IEEE Transactions on Information Forensics and Security"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielaam\/10206\/8356020\/8331868-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10206\/8356020\/08331868.pdf?arnumber=8331868","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,8]],"date-time":"2022-04-08T18:51:49Z","timestamp":1649443909000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8331868\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10]]},"references-count":24,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tifs.2018.2823697","relation":{},"ISSN":["1556-6013","1556-6021"],"issn-type":[{"value":"1556-6013","type":"print"},{"value":"1556-6021","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,10]]}}}