{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T04:41:18Z","timestamp":1787719278285,"version":"build-2784847793"},"reference-count":40,"publisher":"Association for Computing Machinery (ACM)","issue":"4s","license":[{"start":{"date-parts":[[2017,9,15]],"date-time":"2017-09-15T00:00:00Z","timestamp":1505433600000},"content-version":"vor","delay-in-days":365,"URL":"http:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"RGC of Hong Kong under ECS","award":["9041983"],"award-info":[{"award-number":["9041983"]}]},{"DOI":"10.13039\/100000001","name":"U.S. National Science Foundation","doi-asserted-by":"publisher","award":["CNS-1262277 and CNS-1262275"],"award-info":[{"award-number":["CNS-1262277 and CNS-1262275"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Multimedia Comput. Commun. Appl."],"published-print":{"date-parts":[[2016,11,18]]},"abstract":"<jats:p>The image and multimedia data produced by individuals and enterprises is increasing every day. Motivated by the advances in cloud computing, there is a growing need to outsource such computational intensive image feature detection tasks to cloud for its economic computing resources and on-demand ubiquitous access. However, the concerns over the effective protection of private image and multimedia data when outsourcing it to cloud platform become the major barrier that impedes the further implementation of cloud computing techniques over massive amount of image and multimedia data. To address this fundamental challenge, we study the state-of-the-art image feature detection algorithms and focus on Scalar Invariant Feature Transform (SIFT), which is one of the most important local feature detection algorithms and has been broadly employed in different areas, including object recognition, image matching, robotic mapping, and so on. We analyze and model the privacy requirements in outsourcing SIFT computation and propose Secure Scalar Invariant Feature Transform (SecSIFT), a high-performance privacy-preserving SIFT feature detection system. In contrast to previous works, the proposed design is not restricted by the efficiency limitations of current homomorphic encryption scheme. In our design, we decompose and distribute the computation procedures of the original SIFT algorithm to a set of independent, co-operative cloud servers and keep the outsourced computation procedures as simple as possible to avoid utilizing a computationally expensive homomorphic encryption scheme. The proposed SecSIFT enables implementation with practical computation and communication complexity. Extensive experimental results demonstrate that SecSIFT performs comparably to original SIFT on image benchmarks while capable of preserving the privacy in an efficient way.<\/jats:p>","DOI":"10.1145\/2978574","type":"journal-article","created":{"date-parts":[[2016,9,16]],"date-time":"2016-09-16T15:47:47Z","timestamp":1474040867000},"page":"1-24","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":20,"title":["SecSIFT"],"prefix":"10.1145","volume":"12","author":[{"given":"Zhan","family":"Qin","sequence":"first","affiliation":[{"name":"State University of New York at Buffalo, Buffalo, New York"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingbo","family":"Yan","sequence":"additional","affiliation":[{"name":"State University of New York at Buffalo, Buffalo, New York"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kui","family":"Ren","sequence":"additional","affiliation":[{"name":"State University of New York at Buffalo, Buffalo, New York"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chang Wen","family":"Chen","sequence":"additional","affiliation":[{"name":"State University of New York at Buffalo, Buffalo, New York"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cong","family":"Wang","sequence":"additional","affiliation":[{"name":"City University of Hong Kong, Kowloon, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2016,9,15]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1007568.1007632"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10207-005-0070-3"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0065-2458(01)80019-X"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/1854229.1854270"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2011.2108650"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2009.2036230"},{"key":"e_1_2_1_7_1","volume-title":"EUROCRYPT\u201909","author":"Boldyreva Alexandra","unstructured":"Alexandra Boldyreva, Nathan Chenette, Younho Lee, and Adam Oneill. 2009. Order-preserving symmetric encryption. In EUROCRYPT\u201909. Springer, 224--241."},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/2033036.2033080"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2230218"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2534169.2486013"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/MMSP.2010.5661993"},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2000.10474260"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-03168-7_14"},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.5555\/1834954"},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2488608.2488678"},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/1631272.1631376"},{"key":"e_1_2_1_17_1","volume-title":"Proceedings of SPIE\u201911","author":"Hsu Chao-Yung","year":"2011","unstructured":"Chao-Yung Hsu, Chun-Shien Lu, and Soo-Chang Pei. 2011. Homomorphic encryption-based secure SIFT for privacy-preserving feature extraction. In Proceedings of SPIE\u201911. 788005--788005."},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2204272"},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.5555\/1896300.1896374"},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/2207676.2207759"},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/1367497.1367589"},{"key":"e_1_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1117\/12.806980"},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2009.4959888"},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/2207676.2207758"},{"key":"e_1_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2010.5544620"},{"key":"e_1_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6854806"},{"key":"e_1_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2010.39"},{"key":"e_1_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.4236\/jis.2014.51002"},{"key":"e_1_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.5555\/2470021"},{"key":"e_1_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654941"},{"key":"e_1_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2014.7036891"},{"key":"e_1_2_1_33_1","doi-asserted-by":"publisher","unstructured":"A.-R. Sadeghi T. Schneider and I. Wehrenberg. 2009. Efficient privacy-preserving face recognition. In ICISC\u201909. Springer 229--244.","DOI":"10.5555\/1883749.1883771"},{"key":"e_1_2_1_34_1","volume-title":"Proceedings of CVPR\u201908","author":"Shashank Jagarlamudi","unstructured":"Jagarlamudi Shashank, Palivela Kowshik, Kannan Srinathan, and C. V. Jawahar. 2008. Private content based image retrieval. In Proceedings of CVPR\u201908. IEEE, 1--8."},{"key":"e_1_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2010.07.006"},{"key":"e_1_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/1288869.1288884"},{"key":"e_1_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2009.12.011"},{"key":"e_1_2_1_38_1","doi-asserted-by":"publisher","unstructured":"S. Wangumiao M. Nassar M. Atallah and Q. Malluhi. 2013. Secure and private outsourcing of shape-based feature extraction. In Information and Communications Security. Springer 90--99. 10.1007\/978-3-319-02726-5_7","DOI":"10.1007\/978-3-319-02726-5_7"},{"key":"e_1_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.5555\/1382436.1382751"},{"key":"e_1_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2014.28"}],"container-title":["ACM Transactions on Multimedia Computing, Communications, and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2978574","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2978574","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2978574","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T09:27:48Z","timestamp":1763458068000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2978574"}},"subtitle":["Secure Image SIFT Feature Extraction in Cloud Computing"],"short-title":[],"issued":{"date-parts":[[2016,9,15]]},"references-count":40,"journal-issue":{"issue":"4s","published-print":{"date-parts":[[2016,11,18]]}},"alternative-id":["10.1145\/2978574"],"URL":"https:\/\/doi.org\/10.1145\/2978574","relation":{},"ISSN":["1551-6857","1551-6865"],"issn-type":[{"value":"1551-6857","type":"print"},{"value":"1551-6865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,9,15]]},"assertion":[{"value":"2015-10-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2016-01-01","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2016-09-15","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}