{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T19:45:21Z","timestamp":1743018321722,"version":"3.40.3"},"publisher-location":"Cham","reference-count":31,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031365737"},{"type":"electronic","value":"9783031365744"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-36574-4_28","type":"book-chapter","created":{"date-parts":[[2023,7,15]],"date-time":"2023-07-15T13:01:58Z","timestamp":1689426118000},"page":"472-483","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A General Steganalysis Method of\u00a0QR Codes"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8049-4893","authenticated-orcid":false,"given":"Jia","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kunlin","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2055-3799","authenticated-orcid":false,"given":"Yongjie","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8502-9907","authenticated-orcid":false,"given":"Xuehu","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7390-3647","authenticated-orcid":false,"given":"Longlong","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,7,16]]},"reference":[{"key":"28_CR1","unstructured":"JTC1\/SC, I.: Information technology - automatic identification and data capture techniques - QR code 2005 bar code symbology specification (2006)"},{"key":"28_CR2","unstructured":"Arntz, P.: QR code scams are making a comeback (2020). https:\/\/blog.malwarebytes.com\/scams\/2020\/10\/qr-code-scams-are-making-a-comeback\/"},{"key":"28_CR3","doi-asserted-by":"publisher","first-page":"3210","DOI":"10.1109\/ACCESS.2016.2573308","volume":"4","author":"YQ Shi","year":"2016","unstructured":"Shi, Y.Q., Li, X., Zhang, X., Wu, H.T., Ma, B.: Reversible data hiding: advances in the past two decades. IEEE Access 4, 3210\u20133237 (2016). https:\/\/doi.org\/10.1109\/ACCESS.2016.2573308","journal-title":"IEEE Access"},{"key":"28_CR4","doi-asserted-by":"publisher","unstructured":"Ma, K., Zhang, W., Zhao, X., Yu, N., Li, F.: Reversible data hiding in encrypted images by reserving room before encryption. Inf. Forensics Secur. IEEE Trans. 8, 553\u2013562 (2013). https:\/\/doi.org\/10.1109\/TIFS.2013.2248725","DOI":"10.1109\/TIFS.2013.2248725"},{"key":"28_CR5","doi-asserted-by":"publisher","first-page":"2896","DOI":"10.1109\/TCSVT.2020.3025527","volume":"31","author":"X Yan","year":"2020","unstructured":"Yan, X., Lu, Y., Yang, C.N., Zhang, X., Wang, S.: A common method of share authentication in image secret sharing. IEEE Trans. Circ. Syst. Video Technol. 31, 2896\u20132908 (2020)","journal-title":"IEEE Trans. Circ. Syst. Video Technol."},{"key":"28_CR6","doi-asserted-by":"publisher","first-page":"3848","DOI":"10.1109\/TIFS.2020.3001735","volume":"15","author":"X Yan","year":"2020","unstructured":"Yan, X., Lu, Y., Liu, L., Song, X.: Reversible image secret sharing. IEEE Trans. Inf. Forensics Secur. 15, 3848\u20133858 (2020). https:\/\/doi.org\/10.1109\/TIFS.2020.3001735","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"28_CR7","unstructured":"Mohamed Amin, M., Salleh, M., Ibrahim, S., Katmin, M.: Stenography: random LSB insertion using discrete logarithm, pp. 234\u2013238 (2003)"},{"key":"28_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TIFS.2015.2506546","volume":"11","author":"I Tkachenko","year":"2016","unstructured":"Tkachenko, I., Puech, W., Destruel, C., Strauss, O., Gaudin, J.M., Guichard, C.: Two-level QR code for private message sharing and document authentication. IEEE Trans. Inf. Forensics Secur. 11, 1 (2016). https:\/\/doi.org\/10.1109\/TIFS.2015.2506546","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"28_CR9","doi-asserted-by":"publisher","first-page":"1230","DOI":"10.1109\/LSP.2020.3006375","volume":"27","author":"GJ Chou","year":"2020","unstructured":"Chou, G.J., Wang, R.Z.: The nested QR code. IEEE Sig. Process. Lett. 27, 1230\u20131234 (2020). https:\/\/doi.org\/10.1109\/LSP.2020.3006375","journal-title":"IEEE Sig. Process. Lett."},{"issue":"16","key":"28_CR10","doi-asserted-by":"publisher","first-page":"20629","DOI":"10.1007\/s11042-017-5465-4","volume":"77","author":"Y Cheng","year":"2018","unstructured":"Cheng, Y., Fu, Z., Yu, B., Shen, G.: A new two-level QR code with visual cryptography scheme. Multimedia Tools Appl. 77(16), 20629\u201320649 (2018). https:\/\/doi.org\/10.1007\/s11042-017-5465-4","journal-title":"Multimedia Tools Appl."},{"key":"28_CR11","doi-asserted-by":"publisher","unstructured":"Baharav, Z., Kakarala, R.: Visually significant QR codes: image blending and statistical analysis, pp. 1\u20136 (2013). https:\/\/doi.org\/10.1109\/ICME.2013.6607571","DOI":"10.1109\/ICME.2013.6607571"},{"key":"28_CR12","doi-asserted-by":"publisher","first-page":"2527","DOI":"10.3837\/tiis.2013.10.012","volume":"7","author":"YJ Chiang","year":"2013","unstructured":"Chiang, Y.J., Lin, P.Y., Wang, R.Z., Chen, Y.H.: Blind QR code steganographic approach based upon error correction capability. KSII Trans. Internet Inf. Syst. 7, 2527\u20132543 (2013). https:\/\/doi.org\/10.3837\/tiis.2013.10.012","journal-title":"KSII Trans. Internet Inf. Syst."},{"key":"28_CR13","doi-asserted-by":"publisher","unstructured":"Bui, T., Vu, N., Nguyen, T., Echizen, I., Nguyen, T.: Robust message hiding for QR code, pp. 520\u2013523 (2014). https:\/\/doi.org\/10.1109\/IIH-MSP.2014.135","DOI":"10.1109\/IIH-MSP.2014.135"},{"issue":"5","key":"28_CR14","first-page":"2348","volume":"12","author":"PC Huang","year":"2018","unstructured":"Huang, P.C., Li, Y.H., Chang, C.C., Liu, Y.: Efficient scheme for secret hiding in QR code by improving exploiting modification direction. KSII Trans. Internet Inf. Syst. 12(5), 2348\u20132365 (2018)","journal-title":"KSII Trans. Internet Inf. Syst."},{"issue":"1","key":"28_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13640-016-0155-0","volume":"2017","author":"PY Lin","year":"2017","unstructured":"Lin, P.Y., Chen, Y.H.: High payload secret hiding technology for QR codes. EURASIP J. Image Video Process. 2017(1), 1\u20138 (2017)","journal-title":"EURASIP J. Image Video Process."},{"key":"28_CR16","doi-asserted-by":"publisher","unstructured":"Wan, S., Lu, Y., Yan, X., Ding, W., Liu, H.: High capacity embedding methods of QR code error correction, pp. 70\u201379 (2018). https:\/\/doi.org\/10.1007\/978-3-319-72998-5_8","DOI":"10.1007\/978-3-319-72998-5_8"},{"key":"28_CR17","doi-asserted-by":"publisher","first-page":"21291","DOI":"10.1007\/s11042-019-7455-1","volume":"78","author":"S Liu","year":"2019","unstructured":"Liu, S., Fu, Z., Yu, B.: A two-level QR code scheme based on polynomial secret sharing. Multimedia Tools Appl. 78, 21291\u201321308 (2019). https:\/\/doi.org\/10.1007\/s11042-019-7455-1","journal-title":"Multimedia Tools Appl."},{"key":"28_CR18","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"619","DOI":"10.1007\/978-3-030-16946-6_50","volume-title":"Security with Intelligent Computing and Big-data Services","author":"L Tan","year":"2020","unstructured":"Tan, L., Lu, Y., Yan, X., Liu, L., Chen, J.: (2, 2) threshold robust visual secret sharing scheme for QR code based on pad codewords. In: Yang, C.-N., Peng, S.-L., Jain, L.C. (eds.) SICBS 2018. AISC, vol. 895, pp. 619\u2013628. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-16946-6_50"},{"key":"28_CR19","doi-asserted-by":"publisher","first-page":"1404","DOI":"10.1109\/JSAC.2011.110807","volume":"29","author":"X Luo","year":"2011","unstructured":"Luo, X., Liu, F., Lian, S., Yang, C., Gritzalis, S.: On the typical statistic features for image blind steganalysis. IEEE J. Sel. Areas Commun. 29, 1404\u20131422 (2011)","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"28_CR20","unstructured":"Li, F., Zhang, X.: Steganalysis for color images based on channel co-occurrence and selective ensemble. J. Image Graph. (2015)"},{"issue":"2","key":"28_CR21","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1109\/TIP.2002.807363","volume":"12","author":"I Avcibas","year":"2003","unstructured":"Avcibas, I., Memon, N., Sankur, B.: Steganalysis using image quality metrics. IEEE Trans. Image Process. 12(2), 221\u2013229 (2003). https:\/\/doi.org\/10.1109\/TIP.2002.807363","journal-title":"IEEE Trans. Image Process."},{"key":"28_CR22","doi-asserted-by":"publisher","unstructured":"Kodovsky, J., Pevn\u00fd, T., Fridrich, J.: Modern steganalysis can detect YASS, vol. 7541, p. 754102 (2010). https:\/\/doi.org\/10.1117\/12.838768","DOI":"10.1117\/12.838768"},{"issue":"3","key":"28_CR23","doi-asserted-by":"publisher","first-page":"868","DOI":"10.1109\/TIFS.2012.2190402","volume":"7","author":"J Fridrich","year":"2012","unstructured":"Fridrich, J., Kodovsky, J.: Rich models for steganalysis of digital images. IEEE Trans. Inf. Forensics Secur. 7(3), 868\u2013882 (2012). https:\/\/doi.org\/10.1109\/TIFS.2012.2190402","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"issue":"2","key":"28_CR24","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1109\/TIFS.2014.2364918","volume":"10","author":"V Holub","year":"2015","unstructured":"Holub, V., Fridrich, J.: Low-complexity features for jpeg steganalysis using undecimated DCT. IEEE Trans. Inf. Forensics Secur. 10(2), 219\u2013228 (2015). https:\/\/doi.org\/10.1109\/TIFS.2014.2364918","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"issue":"1","key":"28_CR25","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1093\/comjnl\/43.1.81","volume":"43","author":"SK Song","year":"2000","unstructured":"Song, S.K., Gorla, N.: A genetic algorithm for vertical fragmentation and access path selection. Comput. J. 43(1), 81\u201393 (2000). https:\/\/doi.org\/10.1093\/comjnl\/43.1.81","journal-title":"Comput. J."},{"key":"28_CR26","doi-asserted-by":"publisher","first-page":"4244","DOI":"10.1109\/ACCESS.2019.2963084","volume":"8","author":"F Liu","year":"2020","unstructured":"Liu, F., Yan, X., Lu, Y.: Feature selection for image steganalysis using binary bat algorithm. IEEE Access 8, 4244\u20134249 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2019.2963084","journal-title":"IEEE Access"},{"key":"28_CR27","doi-asserted-by":"publisher","unstructured":"Ni, J., Ye, J., YI, Y.: Deep learning hierarchical representations for image steganalysis. IEEE Trans. Inf. Forensics Secur. 12, 2545\u20132557 (2017). https:\/\/doi.org\/10.1109\/TIFS.2017.2710946","DOI":"10.1109\/TIFS.2017.2710946"},{"key":"28_CR28","unstructured":"Yang, L., Cao, X., He, D., Wang, C., Wang, X., Zhang, W.: Modularity based community detection with deep learning (2016)"},{"key":"28_CR29","first-page":"235","volume":"1","author":"L Wei","year":"2019","unstructured":"Wei, L., Gao, P., Jia, L., Liu, M.: Image steganalysis based on convolution neural network. Appl. Res. Comput. 1, 235\u2013238 (2019)","journal-title":"Appl. Res. Comput."},{"key":"28_CR30","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2020.107920","volume":"181","author":"L Li","year":"2021","unstructured":"Li, L., Zhang, W., Qin, C., Chen, K., Zhou, W., Yu, N.: Adversarial batch image steganography against CNN-based pooled steganalysis. Sign. Process. 181, 107920 (2021). https:\/\/doi.org\/10.1016\/j.sigpro.2020.107920","journal-title":"Sign. Process."},{"key":"28_CR31","doi-asserted-by":"crossref","unstructured":"Chen, B., Li, H., Luo, W., Huang, J.: Image processing operations identification via convolutional neural network. Sci. Chin. (Inf. Sci.) 63(03), 275\u2013281 (2020)","DOI":"10.1007\/s11432-018-9492-6"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Digital Forensics and Cyber Crime"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-36574-4_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,15]],"date-time":"2023-07-15T13:05:15Z","timestamp":1689426315000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-36574-4_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031365737","9783031365744"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-36574-4_28","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"16 July 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICDF2C","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Digital Forensics and Cyber Crime","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Boston, MA","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 November 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 November 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icdf2c2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Confy plus","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"80","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"28","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"35% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}