{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T09:23:11Z","timestamp":1762507391979,"version":"3.37.3"},"reference-count":45,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2018,5,14]],"date-time":"2018-05-14T00:00:00Z","timestamp":1526256000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2018,5,14]],"date-time":"2018-05-14T00:00:00Z","timestamp":1526256000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["No 91646115","60903222"],"award-info":[{"award-number":["No 91646115","60903222"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Hum. Cent. Comput. Inf. Sci."],"published-print":{"date-parts":[[2018,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>In the age of big data, plenty of valuable sensing data have been shared to enhance scientific innovation. However, this may cause unexpected privacy leakage. Although numerous privacy preservation techniques, such as perturbation, encryption, and anonymization, have been proposed to conceal sensitive information, it is usually at the cost of the application utility. Moreover, most of the existing works did not distinguished the underlying factors, such as data features and sampling rate, which contribute differently to utility and privacy information implied in the shared data. To well balance the application utility and privacy leakage for data sharing, we utilize mutual information and visualization techniques to analyze the impact of the underlying factors on utility and privacy, respectively, and design an interactive visualization tool to help users identify the appropriate solution to achieve the objectives of high application utility and low privacy leakage simultaneously. To illustrate the effectiveness of the proposed scheme and tool, accelerometer data collected from mobile devices have been adopted as an illustrative example. Experimental study has shown that feature selection and sampling frequency play dominant roles in reducing privacy leakage with much less reduction on utility, and the proposed visualization tool can effectively recommend the appropriate combination of features and sampling rates that can help users make decision on the trade-off between utility and privacy.<\/jats:p>","DOI":"10.1186\/s13673-018-0137-6","type":"journal-article","created":{"date-parts":[[2018,5,9]],"date-time":"2018-05-09T03:36:23Z","timestamp":1525836983000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["An information-aware visualization for privacy-preserving accelerometer data sharing"],"prefix":"10.1186","volume":"8","author":[{"given":"Fengjun","family":"Xiao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3932-7890","authenticated-orcid":false,"given":"Mingming","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Soumia","family":"Menasria","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dan","family":"Meng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shangsheng","family":"Xie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juncai","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengzhi","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,5,14]]},"reference":[{"key":"137_CR1","doi-asserted-by":"crossref","unstructured":"Kawaguchi N, Ogawa N, Iwasaki Y, Kaji K, Terada T, Murao K, Inoue S, Kawahara Y, Sumi Y, Nishio N (2011) HASC Challenge: gathering large scale human activity corpus for the real-world activity understandings. In: Proceedings of augmented human international conference, AH, pp 1\u20135","DOI":"10.1145\/1959826.1959853"},{"key":"137_CR2","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1016\/j.patcog.2013.06.028","volume":"47","author":"TT Ngo","year":"2014","unstructured":"Ngo TT, Makihara Y, Nagahara H, Mukaigawa Y, Yagi Y (2014) The largest inertial sensor-based gait database and performance evaluation of gait-based personal authentication. Pattern Recognit 47:228\u2013237","journal-title":"Pattern Recognit"},{"key":"137_CR3","doi-asserted-by":"crossref","unstructured":"Wagner DT, Rice A, Beresford AR (2013) Device analyzer: understanding smartphone usage. In: International conference on mobile and ubiquitous systems: computing, networking and services, pp 195\u2013208","DOI":"10.1007\/978-3-319-11569-6_16"},{"key":"137_CR4","unstructured":"Favela J, Castro LA, Michan L. Towards a federated repository of mobile sensing datasets for pervasive healthcare. In: Proceedings of the EAI international conference on pervasive computing technologies for kealthcare"},{"key":"137_CR5","first-page":"125","volume-title":"Mobile crowd sensing for Smart Cities. Smart Cities","author":"H Song","year":"2017","unstructured":"Song H, Srinivasan R, Sookoor T, Jeschke S, Chowdhury C, Roy S (2017) Mobile crowd sensing for Smart Cities. Smart Cities. John Wiley & Sons, Inc, Hoboken, pp 125\u2013154"},{"issue":"1","key":"137_CR6","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1109\/JBHI.2015.2483902","volume":"21","author":"A Triantafyllidis","year":"2015","unstructured":"Triantafyllidis A, Velardo C, Salvi D, Shah SA, Koutkias V, Tarassenko L (2015) A survey of mobile phone sensing, self-reporting and social sharing for pervasive healthcare. IEEE J Biomed Health Inf 21(1):218","journal-title":"IEEE J Biomed Health Inf"},{"key":"137_CR7","doi-asserted-by":"crossref","unstructured":"Chen Y, Xue Y (2016) A deep learning approach to human activity recognition based on single accelerometer. In: IEEE international conference on systems, man, and cybernetics, pp 1488\u20131492","DOI":"10.1109\/SMC.2015.263"},{"issue":"4","key":"137_CR8","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1145\/1749603.1749605","volume":"42","author":"BCM Fung","year":"2010","unstructured":"Fung BCM, Wang K, Chen RYuPS (2010) Privacy-preserving data publishing. ACM comput surveys 42(4):14","journal-title":"ACM comput surveys"},{"key":"137_CR9","doi-asserted-by":"crossref","unstructured":"Boldyreva A, Chenette N, Lee Y, ONeill A (2009) Order-preserving symmetric encryption. Advances in cryptology\u2014EUROCRYPT 2009. In: Proceedings of international conference on the theory and applications of cryptographic techniques. 5479:224\u2013241","DOI":"10.1007\/978-3-642-01001-9_13"},{"key":"137_CR10","doi-asserted-by":"crossref","unstructured":"Li N. Li T. Venkatasubramanian S (2007) t-Closeness: privacy beyond k-anonymity and l-diversity. In: IEEE international conference on data engineering, pp 106\u2013115","DOI":"10.1109\/ICDE.2007.367856"},{"key":"137_CR11","doi-asserted-by":"crossref","unstructured":"Dwork C (2008) Differential privacy: a survey of results. In: proceedings of the international conference on theory and applications of models of computation, pp 1\u201319","DOI":"10.1007\/978-3-540-79228-4_1"},{"key":"137_CR12","unstructured":"Wang K, Wang P, Fu AW, Wong CW (2012) Inferential or differential: privacy laws dictate. eprint Arxiv, abs\/1202.3686"},{"key":"137_CR13","unstructured":"Ghosh A, Kleinberg R (2017) Inferential privacy guarantees for differentially private mechanisms. eprint Arxiv, abs\/1603.01508"},{"key":"137_CR14","unstructured":"Lin J (2013) Understanding and capturing people\u2019s mobile app privacy preferences. Dissertations and Theses\u2014Gradworks"},{"issue":"2","key":"137_CR15","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1145\/1964897.1964918","volume":"12","author":"JR Kwapisz","year":"2011","unstructured":"Kwapisz JR, Weiss GM, Moore SA (2011) Activity recognition using cell phone accelerometers. ACM SigKDD Explor Newslett 12(2):74\u201382","journal-title":"ACM SigKDD Explor Newslett"},{"issue":"4","key":"137_CR16","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1145\/76894.76895","volume":"21","author":"NR Adam","year":"1989","unstructured":"Adam NR, Worthmann JC (1989) Security-control methods for statistical databases: a comparative study. ACM Comput Surveys 21(4):515\u2013556","journal-title":"ACM Comput Surveys"},{"key":"137_CR17","doi-asserted-by":"crossref","unstructured":"Agrawal R, Srikant R (2000) Privacy-preserving data mining. In: ACM SIGMOD international conference on mof data, pp 439\u2013450","DOI":"10.1145\/335191.335438"},{"issue":"5","key":"137_CR18","doi-asserted-by":"publisher","first-page":"1417","DOI":"10.1109\/TPDS.2016.2615020","volume":"28","author":"Q Liu","year":"2017","unstructured":"Liu Q, Wang G, Li F, Yang S, Wu J (2017) Preserving privacy with probabilistic indistinguishability in weighted social networks. IEEE Trans Parallel Distrib Syst 28(5):1417\u20131429","journal-title":"IEEE Trans Parallel Distrib Syst"},{"key":"137_CR19","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1016\/j.future.2016.09.013","volume":"68","author":"E Luo","year":"2017","unstructured":"Luo E, Liu Q, Abawajy JH, Wang G (2017) Privacy-preserving multi-hop profile-matching protocol for proximity mobile social networks. Future Gener Comput Syst 68:222\u2013223","journal-title":"Future Gener Comput Syst"},{"key":"137_CR20","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1016\/j.ins.2018.02.058","volume":"444","author":"C Gao","year":"2018","unstructured":"Gao C, Cheng Q, He P, Susilo W, Li J (2018) Privacy-preserving Naive Bayes classifiers secure against the substitution-then-comparison attack. Inf Sci 444:72\u201388","journal-title":"Inf Sci"},{"key":"137_CR21","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1016\/j.ins.2016.08.010","volume":"387","author":"T Peng","year":"2017","unstructured":"Peng T, Liu Q, Meng D, Wang G (2017) Collaborative trajectory privacy preserving scheme in location-based services. Inf Sci 387:165\u2013179","journal-title":"Inf Sci"},{"issue":"1","key":"137_CR22","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1186\/s13673-016-0069-y","volume":"6","author":"V Kumari","year":"2016","unstructured":"Kumari V, Chakravarthy S (2016) Cooperative privacy game: a novel strategy for preserving privacy in data publishing. Humancentric Comput Inf Sci 6(1):12","journal-title":"Humancentric Comput Inf Sci"},{"issue":"1","key":"137_CR23","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1186\/s13673-017-0107-4","volume":"7","author":"C Blundo","year":"2017","unstructured":"Blundo C, Orciuoli F, Parente M (2017) An Am I-based and privacy-preserving shopping mall model. Humancentric Comput Inf Sci 7(1):26","journal-title":"Humancentric Comput Inf Sci"},{"key":"137_CR24","doi-asserted-by":"publisher","unstructured":"Gai K, Qiu M, Zhao H (2017) Privacy-preserving data encryption strategy for big data in mobile cloud computing. IEEE Trans Big Data 1. https:\/\/doi.org\/10.1109\/TBDATA.2017.2705807","DOI":"10.1109\/TBDATA.2017.2705807"},{"issue":"6","key":"137_CR25","doi-asserted-by":"crossref","first-page":"871","DOI":"10.1093\/bioinformatics\/btw758","volume":"33","author":"F Chen","year":"2017","unstructured":"Chen F, Wang S, Jiang X, Ding S, Lu Y, Kim J, Sahinalp SC, Shimizu C, Burns JC, Wright VJ (2017) PRINCESS: privacy-protecting rare disease international network collaboration via encryption through software guard extensions. Bioinformatics 33(6):871","journal-title":"Bioinformatics"},{"issue":"9","key":"137_CR26","doi-asserted-by":"publisher","first-page":"1772","DOI":"10.1109\/LCOMM.2016.2584614","volume":"20","author":"E Luo","year":"2016","unstructured":"Luo E, Liu Q, Wang G (2016) Hierarchical multi-authority and attribute-based encryption friend discovery scheme in mobile social networks. IEEE Commun Lett 20(9):1772\u20131775","journal-title":"IEEE Commun Lett"},{"key":"137_CR27","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-017-1649-y","author":"C Gao","year":"2018","unstructured":"Gao C, Cheng Q, Li X, Xia S. Cloud-assisted privacy-preserving profile-matching scheme under multiple keys in mobile social network. Cluster Comput 2018. https:\/\/doi.org\/10.1007\/s10586-017-1649-y","journal-title":"Cluster Comput"},{"key":"137_CR28","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.future.2017.02.006","volume":"74","author":"P Li","year":"2017","unstructured":"Li P, Li J, Huang Z, Li T, Gao C, Yiu S, Chen K (2017) Multi-key privacy-preserving deep learning in cloud computing. Future Gener Comput Syst 74:76\u201385","journal-title":"Future Gener Comput Syst"},{"issue":"13","key":"137_CR29","first-page":"573","volume":"3","author":"T Zhu","year":"2017","unstructured":"Zhu T, Zou X, Pan J (2017) Query with SUM aggregate function on encrypted floating-point numbers in cloud. J Inf Process Syst 3(13):573\u2013589","journal-title":"J Inf Process Syst"},{"issue":"1","key":"137_CR30","first-page":"68","volume":"13","author":"NB Van","year":"2017","unstructured":"Van NB, Lee S, Kwon K (2017) Selective encryption algorithm using hybrid transform for GIS vector map. J Inf Process Syst 13(1):68\u201382","journal-title":"J Inf Process Syst"},{"issue":"5","key":"137_CR31","doi-asserted-by":"publisher","first-page":"557","DOI":"10.1142\/S0218488502001648","volume":"10","author":"L Sweeney","year":"2002","unstructured":"Sweeney L (2002) k-ANONYMITY: A Model for Protecting Privacy. Int J Uncertain Fuzziness KnowledgeBased Syst 10(5):557\u2013570","journal-title":"Int J Uncertain Fuzziness KnowledgeBased Syst"},{"key":"137_CR32","doi-asserted-by":"crossref","unstructured":"Machanavajjhala A, Gehrke J, Kifer D, Venkitasubramaniam M (2006) L-diversity: privacy beyond k-anonymity. In: Proceedings of the international conference on data engineering, pp 24\u201324","DOI":"10.1109\/ICDE.2006.1"},{"key":"137_CR33","doi-asserted-by":"crossref","unstructured":"Perentis C, Vescovi M, Lepri B (2015) Investigating factors affecting personal data disclosure. In: Proceedings of the international conference on world wide web, pp 89\u201390","DOI":"10.1145\/2740908.2742757"},{"issue":"2","key":"137_CR34","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1145\/3017431","volume":"17","author":"C Perentis","year":"2017","unstructured":"Perentis C, Vescovi M, Leonardi C, Moiso C, Musolesi M, Pianesi F, Lepri B (2017) Anonymous or not? Understanding the factors affecting personal mobile data disclosure. ACM Trans Internet Technol 17(2):13","journal-title":"ACM Trans Internet Technol"},{"issue":"1","key":"137_CR35","first-page":"36","volume":"39","author":"B Guo","year":"2008","unstructured":"Guo B, Nixon MS (2008) Gait feature subset selection by mutual information. IEEE Trans Syst Man Cybern Part A Syst Humans 39(1):36\u201346","journal-title":"IEEE Trans Syst Man Cybern Part A Syst Humans"},{"issue":"8","key":"137_CR36","doi-asserted-by":"publisher","first-page":"1226","DOI":"10.1109\/TPAMI.2005.159","volume":"27","author":"H Peng","year":"2005","unstructured":"Peng H, Long F, Ding C (2005) Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans Pattern Anal Mach Intell 27(8):1226\u20131238","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"137_CR37","doi-asserted-by":"crossref","unstructured":"Lu M, Guo Y, Meng D, Li C, Zhao Y (2017) An information-aware privacy-preserving accelerometer data sharing. In: International conference of pioneering computer scientists, engineers and educators","DOI":"10.1007\/978-981-10-6385-5_36"},{"issue":"2","key":"137_CR38","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1007\/s12668-013-0088-3","volume":"3","author":"OD Incel","year":"2013","unstructured":"Incel OD, Kose M, Ersoy C (2013) A review and taxonomy of activity recognition on mobile phones. Bionanoscience 3(2):145\u2013171","journal-title":"Bionanoscience"},{"key":"137_CR39","doi-asserted-by":"crossref","unstructured":"Kwapisz JR, Weiss GM, Moore SA (2010) Cell phone-based biometric identification. In: Proceedings of the IEEE international conference on biometrics: theory applications and Systems, pp 1\u20137","DOI":"10.1109\/BTAS.2010.5634532"},{"key":"137_CR40","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1016\/j.cose.2013.07.004","volume":"39","author":"M Derawi","year":"2013","unstructured":"Derawi M, Bours P (2013) Gait and activity recognition using commercial phones. Comput Secur 39:137\u2013144","journal-title":"Comput Secur"},{"issue":"1","key":"137_CR41","doi-asserted-by":"publisher","first-page":"2059","DOI":"10.3390\/s150102059","volume":"15","author":"M Shoaib","year":"2015","unstructured":"Shoaib M, Bosch S, Incel OD, Scholten H, Havinga PJ (2015) A survey of online activity recognition using mobile phones. Sensors 15(1):2059\u20132085","journal-title":"Sensors"},{"key":"137_CR42","first-page":"7","volume":"5779","author":"HJ Ailisto","year":"2005","unstructured":"Ailisto HJ, Makela SM (2005) Identifying people from gait pattern with accelerometers. Proc SPIE Int Soc Opt Eng 5779:7\u201314","journal-title":"Proc SPIE Int Soc Opt Eng"},{"key":"137_CR43","volume-title":"Pattern Recognit Mach Learn","author":"CM Bishop","year":"2006","unstructured":"Bishop CM (2006) Pattern Recognit Mach Learn. Springer, New York, Inc, Information Science and Statistics, Berlin"},{"issue":"4","key":"137_CR44","doi-asserted-by":"publisher","first-page":"537","DOI":"10.1109\/72.298224","volume":"5","author":"R Battiti","year":"1994","unstructured":"Battiti R (1994) Using mutual information for selecting features in supervised neural net learning. IEEE Trans Neural Netw 5(4):537\u2013550","journal-title":"IEEE Trans Neural Netw"},{"issue":"2","key":"137_CR45","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1007\/s10772-013-9211-7","volume":"17","author":"SM Bassir","year":"2014","unstructured":"Bassir SM, Akbari A, Nassersharif B (2014) An improved feature transformation method using mutual information. Int J Speech Technol 17(2):107\u2013115","journal-title":"Int J Speech Technol"}],"container-title":["Human-centric Computing and Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13673-018-0137-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s13673-018-0137-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13673-018-0137-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,2]],"date-time":"2023-09-02T14:15:54Z","timestamp":1693664154000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1186\/s13673-018-0137-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,5,14]]},"references-count":45,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018,12]]}},"alternative-id":["137"],"URL":"https:\/\/doi.org\/10.1186\/s13673-018-0137-6","relation":{},"ISSN":["2192-1962"],"issn-type":[{"type":"electronic","value":"2192-1962"}],"subject":[],"published":{"date-parts":[[2018,5,14]]},"assertion":[{"value":"26 January 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 April 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 May 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"13"}}