{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T23:46:01Z","timestamp":1740181561754,"version":"3.37.3"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SN COMPUT. SCI."],"published-print":{"date-parts":[[2020,7]]},"DOI":"10.1007\/s42979-020-00234-8","type":"journal-article","created":{"date-parts":[[2020,7,8]],"date-time":"2020-07-08T14:02:31Z","timestamp":1594216951000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["GenAtSeq GAN with Heuristic Reforms for Knowledge Centric Network with Browsing Characteristics Learning, Individual Tracking and Malware Detection with Website2Vec"],"prefix":"10.1007","volume":"1","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1563-9304","authenticated-orcid":false,"given":"Chiranjib","family":"Sur","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,7,8]]},"reference":[{"issue":"9","key":"234_CR1","doi-asserted-by":"publisher","first-page":"3573","DOI":"10.1007\/s12652-018-1084-9","volume":"10","author":"S Chiranjib","year":"2019","unstructured":"Chiranjib S. DeepSeq: learning browsing log data based personalized security vulnerabilities and counter intelligent measures. J Ambient Intell Human Comput. 2019;10(9):3573\u2013602.","journal-title":"J Ambient Intell Human Comput"},{"unstructured":"Ian G, Pouget-Abadie J, Mirza M, Xu B, Warde-Farley D, Ozair Z, Courville A, Bengio Y. Generative adversarial nets. In: Advances in neural information processing systems. 2014. pp. 2672-80.","key":"234_CR2"},{"issue":"9","key":"234_CR3","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1145\/1151030.1151052","volume":"49","author":"Stefan Sackmann","year":"2006","unstructured":"Sackmann Stefan, Str\u00fcker Jens, Accorsi Rafael. Personalization in privacy-aware highly dynamic systems. Commun ACM. 2006;49(9):32\u20138.","journal-title":"Commun ACM"},{"issue":"4","key":"234_CR4","doi-asserted-by":"publisher","first-page":"639","DOI":"10.3233\/JCS-2010-0410","volume":"19","author":"Konrad Rieck","year":"2011","unstructured":"Rieck Konrad, et al. Automatic analysis of malware behavior using machine learning. J Comput Secur. 2011;19(4):639\u201368.","journal-title":"J Comput Secur."},{"unstructured":"Aditya M, Pan C, Hu Z, Schaub F, Ur B, Cranor LF. Assessing privacy awareness from browser plugins. In: Poster at the symposium on usable privacy and security (SOUPS). 2014.","key":"234_CR5"},{"issue":"4","key":"234_CR6","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1515\/popets-2016-0027","volume":"2016","author":"Tao Wang","year":"2016","unstructured":"Wang Tao, Goldberg Ian. On realistically attacking Tor with website fingerprinting. Proc Privacy Enhancing Technol. 2016;2016(4):21\u201336.","journal-title":"Proc Privacy Enhancing Technol"},{"doi-asserted-by":"crossref","unstructured":"Leon Pedro, et al. \u201cWhy Johnny can\u2019t opt out: a usability evaluation of tools to limit online behavioral advertising.\u201d Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM;2012","key":"234_CR7","DOI":"10.1145\/2207676.2207759"},{"issue":"4","key":"234_CR8","doi-asserted-by":"publisher","first-page":"941","DOI":"10.2307\/25148760","volume":"30","author":"SYX Komiak","year":"2006","unstructured":"Komiak SYX, Benbasat I. The effects of personalization and familiarity on trust and adoption of recommendation agents. MIS Quarterly. 2006;30(4):941\u201360.","journal-title":"MIS Quarterly."},{"key":"234_CR9","doi-asserted-by":"publisher","first-page":"628","DOI":"10.1007\/978-3-540-72079-9_21","volume-title":"Privacy-enhanced web personalization. The adaptive web.","author":"Alfred Kobsa","year":"2007","unstructured":"Kobsa Alfred. Privacy-enhanced web personalization. The adaptive web. Berlin Heidelberg: Springer; 2007. p. 628\u201370."},{"issue":"3","key":"234_CR10","doi-asserted-by":"publisher","first-page":"5310","DOI":"10.1016\/j.eswa.2008.06.067","volume":"36","author":"CC Chang","year":"2009","unstructured":"Chang CC, et al. Application of neural networks and Kano\u2019s method to content recommendation in web personalization. Expert Syst Appl. 2009;36(3):5310\u20136.","journal-title":"Expert Syst Appl."},{"key":"234_CR11","first-page":"1","volume":"6","author":"DM Patrick","year":"2006","unstructured":"Patrick DM, Sen S, Spatscheck O, van der Merwe JE, Aiello W, Kalmanek CR. Enterprise security: a community of interest based approach. NDSS. 2006;6:1\u20133.","journal-title":"NDSS."},{"key":"234_CR12","first-page":"90","volume-title":"Data mining for web personalization","author":"Bamshad Mobasher","year":"2007","unstructured":"Mobasher Bamshad. Data mining for web personalization. Berlin Heidelberg: The adaptive web. Springer; 2007. p. 90\u2013135."},{"unstructured":"McAteer O This creepy new google feature lets you stalk your entire life\u2019s history. Elite Daily 2016.","key":"234_CR13"},{"unstructured":"Delfina M, Scarano V, Spinelli R How increased awareness can impact attitudes and behaviors toward online privacy protection. In: Social computing (SocialCom), 2013 international conference on. IEEE;2013.","key":"234_CR14"},{"doi-asserted-by":"crossref","unstructured":"Mcdonald Aleecia M et al. A comparative study of online privacy policies and formats. In: International symposium on privacy enhancing technologies symposium. Springer, Berlin, Heidelberg;2009.","key":"234_CR15","DOI":"10.1007\/978-3-642-03168-7_3"},{"unstructured":"Serge E, Peer E The myth of the average user: Improving privacy and security systems through individualization. In: Proceedings of the 2015 new security paradigms workshop. ACM;2015.","key":"234_CR16"},{"unstructured":"Drew D, Fredrikson M, Livshits Morepriv B Mobile os support for application personalization and privacy. In: Proceedings of the 30th annual computer security applications conference. ACM;2014.","key":"234_CR17"},{"doi-asserted-by":"crossref","unstructured":"Yingbo S et al. System level user behavior biometrics using Fisher features and Gaussian mixture models. In: Security and Privacy Workshops (SPW), 2013 IEEE. IEEE;2013.","key":"234_CR18","DOI":"10.1109\/SPW.2013.33"},{"issue":"4","key":"234_CR19","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1109\/SURV.2008.080406","volume":"10","author":"Thuy TT Nguyen","year":"2008","unstructured":"Nguyen Thuy TT, Grenville Armitage. A survey of techniques for internet traffic classification using machine learning. IEEE Commun Surveys Tutorials. 2008;10(4):56\u201376.","journal-title":"IEEE Commun Surveys Tutorials"},{"doi-asserted-by":"crossref","unstructured":"Marforio Claudio, et al. \u201cPersonalized security indicators to detect application phishing attacks in mobile platforms; 2015.\u201d arXiv preprint arXiv:1502.06824.","key":"234_CR20","DOI":"10.1145\/2994459.2994462"},{"unstructured":"Ke W, Stolfo SJ Anomalous payload-based network intrusion detection. RAID. 4;2004.","key":"234_CR21"},{"unstructured":"Olivarez-Giles N. How to use google\u2019s new my activity privacy tool: Search giant offers users a glimpse of the data it collects from web searches and other services. Wall Street J. 2016.","key":"234_CR22"},{"doi-asserted-by":"crossref","unstructured":"Stolfo Salvatore J., et al. \u201cCost-based modeling for fraud and intrusion detection: Results from the JAM project.\u201d DARPA Information Survivability Conference and Exposition, 2000. DISCEX\u201900. Proceedings. Vol. 2. IEEE;2000.","key":"234_CR23","DOI":"10.1109\/DISCEX.2000.821515"},{"unstructured":"Maria FA Web Personalization in Intelligent Environments","key":"234_CR24"},{"issue":"1","key":"234_CR25","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1023\/A:1013232803866","volume":"6","author":"B Mobasher","year":"2002","unstructured":"Mobasher B, et al. Discovery and evaluation of aggregate usage profiles for web personalization. Data Min Knowl Discovery. 2002;6(1):61\u201382.","journal-title":"Data Min Knowl Discovery"},{"issue":"1","key":"234_CR26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/643477.643478","volume":"3","author":"Magdalini Eirinaki","year":"2003","unstructured":"Eirinaki Magdalini, Vazirgiannis Michalis. Web mining for web personalization. ACM Transactions on Internet Technology (TOIT). 2003;3(1):1\u201327.","journal-title":"ACM Transactions on Internet Technology (TOIT)"},{"unstructured":"Florian S et al. Watching them watching me: Browser extensions\u2019 impact on user privacy awareness and concern. In: NDSS Workshop on Usable Security;2016.","key":"234_CR27"},{"issue":"2","key":"234_CR28","first-page":"7","volume":"8","author":"Torres Duarte","year":"2014","unstructured":"Duarte Torres, Sergio Ingmar Weber, Djoerd Hiemstra. Analysis of search and browsing behavior of young users on the web. ACM Trans Web (TWEB). 2014;8(2):7.","journal-title":"ACM Trans Web (TWEB)"},{"unstructured":"Ant\u00f3nio N, et al. Classification of internet users using discriminant analysis and neural networks. In: Next Generation Internet Networks, 2005. IEEE;2005.","key":"234_CR29"},{"unstructured":"Pavel L , Kloft M A framework for quantitative security analysis of machine learning. In: Proceedings of the 2nd ACM workshop on security and artificial intelligence. ACM;2009.","key":"234_CR30"},{"unstructured":"Miriam B et al. Preprocessing and mining web log data for web personalization. In: Congress of the Italian association for artificial intelligence. Springer, Berlin, Heidelberg;2003.","key":"234_CR31"},{"unstructured":"Ajay B, Kay J. Privacy and security in ubiquitous personalized applications. School of Information Technologies, University of Sydney;2004.","key":"234_CR32"},{"issue":"3","key":"234_CR33","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1007\/s10660-009-9036-2","volume":"9","author":"David G Taylor","year":"2009","unstructured":"Taylor David G, Davis Donna F, Jillapalli Ravi. Privacy concern and online personalization: the moderating effects of information control and compensation. Electron Commerce Res. 2009;9(3):203\u201323.","journal-title":"Electron Commerce Res"},{"issue":"4","key":"234_CR34","doi-asserted-by":"publisher","first-page":"470","DOI":"10.1515\/popets-2016-0051","volume":"2016","author":"G\u00e1bor Gy\u00f6rgy Guly\u00e1s","year":"2016","unstructured":"Guly\u00e1s G\u00e1bor Gy\u00f6rgy, Gergely Acs, Claude Castelluccia. Near-optimal fingerprinting with constraints. Proc Privacy Enhancing Technol. 2016;2016(4):470\u201387.","journal-title":"Proc Privacy Enhancing Technol"},{"unstructured":"Bruce K, Rogers M, Peppers D. Making it personal: how to profit from personalization without invading privacy. Perseus Publishing;2001.","key":"234_CR35"},{"issue":"8","key":"234_CR36","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1145\/345124.345165","volume":"43","author":"Maurice D Mulvenna","year":"2000","unstructured":"Mulvenna Maurice D, Anand Sarabjot S, B\u00fcchner Alex G. Personalization on the net using web mining: introduction. Commun ACM. 2000;43(8):122\u20135.","journal-title":"Commun ACM"},{"doi-asserted-by":"publisher","unstructured":"David F, Jain S, D\u00fcrmuth M, Biggio B, Giacinto G. Who Are You? A Statistical Approach to Measuring User Authenticity. NDSS. 2016. https:\/\/doi.org\/10.14722\/ndss.2016.23240.","key":"234_CR37","DOI":"10.14722\/ndss.2016.23240"},{"unstructured":"Chiranjib S. ReLGAN: Generalization of Consistency for GAN with Disjoint Constraints and Relative Learning of Generative Processes for Multiple Transformation Learning. arXiv preprint. (2020). arXiv:2006.07809.","key":"234_CR38"}],"container-title":["SN Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-020-00234-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42979-020-00234-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-020-00234-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,9]],"date-time":"2024-08-09T14:52:38Z","timestamp":1723215158000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42979-020-00234-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":38,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2020,7]]}},"alternative-id":["234"],"URL":"https:\/\/doi.org\/10.1007\/s42979-020-00234-8","relation":{},"ISSN":["2662-995X","2661-8907"],"issn-type":[{"type":"print","value":"2662-995X"},{"type":"electronic","value":"2661-8907"}],"subject":[],"published":{"date-parts":[[2020,7]]},"assertion":[{"value":"28 March 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 June 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 July 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The author declares that he has no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}],"article-number":"228"}}