{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T14:03:59Z","timestamp":1766066639055,"version":"3.37.3"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2016,9,20]],"date-time":"2016-09-20T00:00:00Z","timestamp":1474329600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2016,9,20]],"date-time":"2016-09-20T00:00:00Z","timestamp":1474329600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100004410","name":"TUBITAK","doi-asserted-by":"crossref","award":["108E221","108E221"],"award-info":[{"award-number":["108E221","108E221"]}],"id":[{"id":"10.13039\/501100004410","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Inf Retrieval J"],"published-print":{"date-parts":[[2016,12]]},"DOI":"10.1007\/s10791-016-9284-4","type":"journal-article","created":{"date-parts":[[2016,9,20]],"date-time":"2016-09-20T04:01:58Z","timestamp":1474344118000},"page":"547-572","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Detecting shilling attacks in private environments"],"prefix":"10.1007","volume":"19","author":[{"given":"Ihsan","family":"Gunes","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huseyin","family":"Polat","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,9,20]]},"reference":[{"key":"9284_CR1","unstructured":"Bhaumik, R., Mobasher, B., & Burke, R. D. (2011). A clustering approach to unsupervised attack detection in collaborative recommender systems. In Proceedings of the 7th IEEE international conference on data mining, (pp. 181\u2013187). Las Vegas, NV, USA."},{"key":"9284_CR2","unstructured":"Bhaumik, R., Williams, C. A., Mobasher, B., & Burke, R. D. (2006). Securing collaborative filtering against malicious attacks through anomaly detection. In Proceedings of the 4th workshop on \u0131ntelligent techniques for web personalization, Boston, MA, USA."},{"key":"9284_CR3","unstructured":"Bilge, A., Gunes, I., & Polat, H. (2013b). A robust privacy-preserving recommendation algorithm, The 2nd Asian conference on \u0131nformation systems, Phuket, Thailand."},{"issue":"8","key":"9284_CR4","doi-asserted-by":"publisher","first-page":"3671","DOI":"10.1016\/j.eswa.2013.11.039","volume":"41","author":"A Bilge","year":"2014","unstructured":"Bilge, A., Gunes, I., & Polat, H. (2014a). Robustness analysis of privacy-preserving model-based recommendation schemes. Expert Systems with Applications, \n                           41(8), 3671\u20133681.","journal-title":"Expert Systems with Applications"},{"issue":"8","key":"9284_CR5","doi-asserted-by":"publisher","first-page":"1085","DOI":"10.1142\/S0218194013500320","volume":"23","author":"A Bilge","year":"2013","unstructured":"Bilge, A., Kaleli, C., Yakut, I., Gunes, I., & Polat, H. (2013a). A survey of privacy-preserving collaborative filtering schemes. International Journal of Software Engineering and Knowledge Engineering, \n                           23(8), 1085\u20131108.","journal-title":"International Journal of Software Engineering and Knowledge Engineering"},{"key":"9284_CR6","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1016\/j.procs.2014.05.257","volume":"31","author":"A Bilge","year":"2014","unstructured":"Bilge, A., Ozdemir, Z., & Polat, H. (2014b). A novel shilling attack detection method. Procedia Computer Science, \n                           31, 165\u2013174.","journal-title":"Procedia Computer Science"},{"issue":"5","key":"9284_CR7","doi-asserted-by":"publisher","first-page":"2478","DOI":"10.1016\/j.asoc.2012.11.046","volume":"13","author":"A Bilge","year":"2013","unstructured":"Bilge, A., & Polat, H. (2013a). A comparison of clustering-based privacy-preserving collaborative filtering schemes. Applied Soft Computing, \n                           13(5), 2478\u20132489.","journal-title":"Applied Soft Computing"},{"key":"9284_CR8","unstructured":"Bilge, A. & Polat, H. (2013b). Robustness of bisecting k-means clustering-based collaborative filtering algorithm. In Proceedings of the 5th international conference on advances in information mining and management, (pp. 7\u201313). Brussels, Belgium."},{"key":"9284_CR9","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.knosys.2013.03.012","volume":"46","author":"J Bobadilla","year":"2013","unstructured":"Bobadilla, J., Ortega, F., Hernando, A., & Guti\u00e9rrez, A. (2013). Recommender systems survey. Knowledge-Based Systems, \n                           46, 109\u2013132.","journal-title":"Knowledge-Based Systems"},{"key":"9284_CR10","doi-asserted-by":"crossref","unstructured":"Burke, R. D., Mobasher, B., Williams, C. A, & Bhaumik, R. (2006). Classification features for attack detection in collaborative recommender systems. In Proceedings of the 12th ACM SIGKDD international conference on knowledge discovery and data mining, (pp. 542\u2013547). Philadelphia, PA, USA.","DOI":"10.1145\/1150402.1150465"},{"issue":"5\u20136","key":"9284_CR11","doi-asserted-by":"publisher","first-page":"729","DOI":"10.1007\/s11280-012-0164-6","volume":"16","author":"J Cao","year":"2013","unstructured":"Cao, J., Wu, Z., Mao, B., & Zhang, Y. (2013). Shilling attack detection utilizing semi-supervised learning method for collaborative recommender system. World Wide Web, \n                           16(5\u20136), 729\u2013748.","journal-title":"World Wide Web"},{"issue":"6","key":"9284_CR12","doi-asserted-by":"publisher","first-page":"1000","DOI":"10.1016\/j.jcss.2014.12.013","volume":"81","author":"F Casino","year":"2015","unstructured":"Casino, F., Domingo-Ferrer, J., Patsakis, C., Puig, D., & Solanas, A. (2015). A k-anonymous approach to privacy preserving collaborative filtering. Journal of Computer and System Sciences, \n                           81(6), 1000\u20131011.","journal-title":"Journal of Computer and System Sciences"},{"key":"9284_CR13","doi-asserted-by":"crossref","unstructured":"Casino, F., Patsakis, C., Puig, D., & Solanas, A. (2013). On privacy preserving collaborative filtering: Current trends, open problems, and new issues. In Proceedings of the IEEE 10th international conference on e-business engineering, (pp. 244\u2013249). Coventry, United Kingdom.","DOI":"10.1109\/ICEBE.2013.37"},{"key":"9284_CR14","doi-asserted-by":"crossref","unstructured":"Chirita, P. A., Nejdl, W., & Zamfir, C. (2005). Preventing shilling attacks in online recommender systems. In Proceedings of the 7th annual ACM international workshop on web information and data management, (pp. 67\u201374). Bremen, Germany.","DOI":"10.1145\/1097047.1097061"},{"issue":"1","key":"9284_CR15","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1016\/j.dss.2013.01.020","volume":"55","author":"C-Y Chung","year":"2013","unstructured":"Chung, C.-Y., Hsu, P.-Y., & Huang, S.-H. (2013). \u03b2P: A novel approach to filter out malicious rating profiles from recommender systems. Decision Support Systems, \n                           55(1), 314\u2013325.","journal-title":"Decision Support Systems"},{"issue":"1","key":"9284_CR16","doi-asserted-by":"publisher","first-page":"54","DOI":"10.12720\/joams.1.1.54-60","volume":"1","author":"I Gunes","year":"2013","unstructured":"Gunes, I., Bilge, A., Kaleli, C., & Polat, H. (2013a). Shilling attacks against privacy-preserving collaborative filtering. Journal of Advanced Management Science, \n                           1(1), 54\u201360.","journal-title":"Journal of Advanced Management Science"},{"issue":"5","key":"9284_CR17","doi-asserted-by":"publisher","first-page":"1272","DOI":"10.3837\/tiis.2013.05.019","volume":"7","author":"I Gunes","year":"2013","unstructured":"Gunes, I., Bilge, A., & Polat, H. (2013b). Shilling attacks against memory-based privacy-preserving recommendation algorithms. KSII Transactions on Internet and Information Systems, \n                           7(5), 1272\u20131290.","journal-title":"KSII Transactions on Internet and Information Systems"},{"issue":"4","key":"9284_CR18","doi-asserted-by":"publisher","first-page":"767","DOI":"10.1007\/s10462-012-9364-9","volume":"42","author":"I Gunes","year":"2014","unstructured":"Gunes, I., Kaleli, C., Bilge, A., & Polat, H. (2014). Shilling attacks against recommender systems: A comprehensive survey. Artificial Intelligence Review, \n                           42(4), 767\u2013799.","journal-title":"Artificial Intelligence Review"},{"key":"9284_CR19","unstructured":"Gunes, I. & Polat, H. (2015a). Hierarchical clustering-based shilling attack detection in private environments. In Proceedings of the 3rd international symposium on digital forensics and security, (pp. 1\u20137). Ankara, Turkey."},{"issue":"1","key":"9284_CR20","first-page":"13","volume":"4","author":"I Gunes","year":"2015","unstructured":"Gunes, I., & Polat, H. (2015b). Robustness analysis of privacy-preserving hybrid recommendation algorithm. International Journal of Information Security Science, \n                           4(1), 13\u201325.","journal-title":"International Journal of Information Security Science"},{"key":"9284_CR21","doi-asserted-by":"crossref","unstructured":"Hurley, N. J., Cheng, Z., & Zhang, M. (2009). Statistical attack detection. In Proceedings of the 3rd ACM conference on recommender systems, (pp. 149\u2013156). New York, NY, USA.","DOI":"10.1145\/1639714.1639740"},{"key":"9284_CR22","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1007\/978-1-4471-4555-4_12","volume-title":"Social media retrieval. Computer communications and networks","author":"AJP Jeckmans","year":"2013","unstructured":"Jeckmans, A. J. P., Beye, M. R. T., Erkin, Z., Hartel, P. H., Lagendijk, R. L., & Tang, Q. (2013). Privacy in recommender systems. Social media retrieval. Computer communications and networks (pp. 263\u2013281). London: Springer."},{"key":"9284_CR23","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1016\/j.physa.2015.05.060","volume":"436","author":"C-X Jia","year":"2015","unstructured":"Jia, C.-X., & Liu, R.-R. (2015). Improve the algorithmic performance of collaborative filtering by using the interevent time distribution of human behaviors. Physica A: Statistical Mechanics and its Applications, \n                           436, 236\u2013245.","journal-title":"Physica A: Statistical Mechanics and its Applications"},{"issue":"6","key":"9284_CR24","doi-asserted-by":"publisher","first-page":"115","DOI":"10.14257\/ijsia.2014.8.6.11","volume":"8","author":"M Li","year":"2014","unstructured":"Li, M. (2014). Shilling attack detection algorithm based on non-random-missing mechanism. International Journal of Security and Its Applications, \n                           8(6), 115\u2013126.","journal-title":"International Journal of Security and Its Applications"},{"key":"9284_CR25","doi-asserted-by":"crossref","unstructured":"Li, C. & Luo, Z. (2011). Detection of shilling attacks in collaborative filtering recommender systems. In Proceedings of the international conference of soft computing and pattern recognition, (pp. 190\u2013193). Dalian, China.","DOI":"10.1109\/SoCPaR.2011.6089138"},{"key":"9284_CR26","unstructured":"Mehta, B. (2007). Unsupervised shilling detection for collaborative filtering. In Proceedings of the 22nd national conference on artificial intelligence (Vol. 2, pp. 1402\u20131407). Vancouver, Canada."},{"key":"9284_CR27","doi-asserted-by":"crossref","unstructured":"Mehta, B., Hofmann, T., & Fankhauser, P. (2007). Lies and propaganda: Detecting spam users in collaborative filtering. In Proceedings of the 12th international conference on intelligent user interfaces, (pp. 14\u201321). Honolulu, HI, USA.","DOI":"10.1145\/1216295.1216307"},{"issue":"1\u20132","key":"9284_CR28","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1007\/s11257-008-9050-4","volume":"19","author":"B Mehta","year":"2009","unstructured":"Mehta, B., & Nejdl, W. (2009). Unsupervised strategies for shilling detection and robust collaborative filtering. User Modeling and User-Adapted Interaction, \n                           19(1\u20132), 65\u201397.","journal-title":"User Modeling and User-Adapted Interaction"},{"issue":"4","key":"9284_CR29","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1145\/1278366.1278372","volume":"7","author":"B Mobasher","year":"2007","unstructured":"Mobasher, B., Burke, R. D., Bhaumik, R., & Williams, C. A. (2007). Toward trustworthy recommender systems: An analysis of attack models and algorithm robustness. ACM Transactions Internet Technology, \n                           7(4), 23.","journal-title":"ACM Transactions Internet Technology"},{"key":"9284_CR30","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1007\/11891321_6","volume":"4198","author":"B Mobasher","year":"2006","unstructured":"Mobasher, B., Burke, R. D., Williams, C. A., & Bhaumik, R. (2006). Analysis and detection of segment-focused attacks against collaborative recommendation. Lecture Notes in Computer Science, \n                           4198, 96\u2013118.","journal-title":"Lecture Notes in Computer Science"},{"issue":"2","key":"9284_CR31","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1007\/s10791-013-9224-5","volume":"17","author":"AM Morid","year":"2013","unstructured":"Morid, A. M., Shajari, M., & Hashemi, A. R. (2013). Defending recommender systems by influence analysis. Information Retrieval, \n                           17(2), 137\u2013152.","journal-title":"Information Retrieval"},{"issue":"4 Part 2","key":"9284_CR32","doi-asserted-by":"publisher","first-page":"1781","DOI":"10.1016\/j.eswa.2013.08.077","volume":"41","author":"G Noh","year":"2014","unstructured":"Noh, G., Kang, Y.-M., Oh, H., & Kim, C.-K. (2014). Robust sybil attack defense with information level in online recommender systems. Expert Systems with Applications, \n                           41(4 Part 2), 1781\u20131791.","journal-title":"Expert Systems with Applications"},{"issue":"4","key":"9284_CR33","doi-asserted-by":"publisher","first-page":"344","DOI":"10.1145\/1031114.1031116","volume":"4","author":"MP O\u2019Mahony","year":"2004","unstructured":"O\u2019Mahony, M. P., Hurley, N. J., Kushmerick, N., & Silvestre, G. C. M. (2004). Collaborative recommendation: A robustness analysis. ACM Transactions Internet Technology, \n                           4(4), 344\u2013377.","journal-title":"ACM Transactions Internet Technology"},{"key":"9284_CR34","doi-asserted-by":"crossref","unstructured":"O\u2019Mahony, M. P., Hurley, N. J., & Silvestre, G. C. M. (2006). Detecting noise in recommender system databases. In Proceedings of the 11th international conference on intelligent user interfaces, (pp. 109\u2013115). Sydney, Australia.","DOI":"10.1145\/1111449.1111477"},{"issue":"6","key":"9284_CR35","first-page":"276","volume":"5","author":"A Ozturk","year":"2015","unstructured":"Ozturk, A., & Polat, H. (2015). From existing trends to future trends in privacy-preserving collaborative filtering. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, \n                           5(6), 276\u2013291.","journal-title":"Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"},{"key":"9284_CR36","doi-asserted-by":"crossref","unstructured":"Su, X. -F., Zeng, H. -J., & Chen, Z. (2005). Finding group shilling in recommendation system. In Proceedings of the 14th international conference on world wide web, (pp. 960\u2013961). Chiba, Japan.","DOI":"10.1145\/1062745.1062818"},{"key":"9284_CR37","doi-asserted-by":"crossref","unstructured":"Tang, T. & Tang, Y. (2011). An effective recommender attack detection method based on time SFM factors. In Proceedings of the 3rd international conference on communication software and networks, (pp. 78\u201381). Xi\u2019an, China.","DOI":"10.1109\/ICCSN.2011.6013780"},{"issue":"3","key":"9284_CR38","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1007\/s11761-007-0013-0","volume":"1","author":"CA Williams","year":"2007","unstructured":"Williams, C. A., Mobasher, B., & Burke, R. D. (2007). Defending recommender systems: Detection of profile injection attacks. Service Oriented Computing and Applications, \n                           1(3), 157\u2013170.","journal-title":"Service Oriented Computing and Applications"},{"key":"9284_CR39","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1016\/j.ins.2015.02.019","volume":"306","author":"H Xia","year":"2015","unstructured":"Xia, H., Fang, B., Gao, M., Ma, H., Tang, Y., & Wen, J. (2015). A novel item anomaly detection against shilling attacks in collaborative recommendation systems using the dynamic time interval segmentation technique. Information Sciences, \n                           306, 150\u2013165.","journal-title":"Information Sciences"},{"key":"9284_CR40","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1016\/j.eswa.2015.09.012","volume":"44","author":"BY Yurekli","year":"2016","unstructured":"Yurekli, B. Y., & Kaleli, C. (2016). Robustness analysis of arbitrarily distributed data-based recommendation methods. Expert Systems with Applications, \n                           44, 217\u2013229.","journal-title":"Expert Systems with Applications"},{"issue":"5","key":"9284_CR41","doi-asserted-by":"publisher","first-page":"823","DOI":"10.1007\/s11390-011-0181-4","volume":"26","author":"F-G Zhang","year":"2011","unstructured":"Zhang, F.-G. (2011). Preventing recommendation attack in trust-based recommender systems. Journal of Computer Science and Technology, \n                           26(5), 823\u2013828.","journal-title":"Journal of Computer Science and Technology"},{"key":"9284_CR42","doi-asserted-by":"crossref","unstructured":"Zhang, S., Chakrabarti, A., Ford, J., & Makedon, F. (2006a). Attack detection in time series for recommender systems. In Proceedings of the 12th ACM SIGKDD international conference on knowledge discovery and data mining, (pp. 809\u2013814). Philadelphia, PA, USA.","DOI":"10.1145\/1150402.1150508"},{"issue":"4","key":"9284_CR43","doi-asserted-by":"publisher","first-page":"616","DOI":"10.1007\/s11390-013-1362-0","volume":"28","author":"X-L Zhang","year":"2013","unstructured":"Zhang, X.-L., Lee, T., & Pitsilis, G. (2013). Securing recommender systems against shilling attacks using social-based clustering. Journal of Computer Science and Technology, \n                           28(4), 616\u2013624.","journal-title":"Journal of Computer Science and Technology"},{"key":"9284_CR44","doi-asserted-by":"crossref","unstructured":"Zhang, Q., Luo, Y., Weng, C., & Li, M. (2009). A trust-based detecting mechanism against profile injection attacks in recommender systems. In Proceedings of the 3rd IEEE international conference on secure software integration and reliability improvement, (pp. 59\u201364). Shanghai, China.","DOI":"10.1109\/SSIRI.2009.12"},{"key":"9284_CR45","doi-asserted-by":"crossref","unstructured":"Zhang, S., Ouyang, Y., Ford, J., & Makedon, F. (2006b). Analysis of a low-dimensional linear model under recommendation attacks. In Proceedings of the 29th annual international ACM SIGIR conference on research and development in information retrieval, (pp. 517\u2013524). Seattle, WA, USA.","DOI":"10.1145\/1148170.1148259"},{"key":"9284_CR46","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1016\/j.knosys.2014.04.020","volume":"65","author":"F Zhang","year":"2014","unstructured":"Zhang, F., & Zhou, Q. (2014). HHT-SVM: An online method for detecting profile injection attacks in collaborative recommender systems. Knowledge-Based Systems, \n                           65, 96\u2013105.","journal-title":"Knowledge-Based Systems"},{"issue":"1","key":"9284_CR47","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1049\/iet-ifs.2013.0145","volume":"9","author":"F Zhang","year":"2015","unstructured":"Zhang, F., & Zhou, Q. (2015). Ensemble detection model for profile injection attacks in collaborative recommender systems based on BP neural network. IET Information Security, \n                           9(1), 24\u201331.","journal-title":"IET Information Security"},{"key":"9284_CR48","doi-asserted-by":"crossref","unstructured":"Zhou, W., Koh, Y. S., Wen, J., Alam, S., & Dobbie, G. (2014a). Detection of abnormal profiles on group attacks in recommender systems. In Proceedings of the 37th international ACM SIGIR conference on research and development in information retrieval, (pp. 955\u2013958). Gold Coast, Australia.","DOI":"10.1145\/2600428.2609483"},{"key":"9284_CR49","doi-asserted-by":"crossref","unstructured":"Zhou, W., Wen, J., Koh, Y. S., Alam, S., & Dobbie, G. (2014b). Attack detection in recommender systems based on target item analysis. In Proceedings of the 2014 international joint conference on neural network, (pp. 332\u2013339). Beijing, China.","DOI":"10.1109\/IJCNN.2014.6889419"},{"key":"9284_CR50","unstructured":"Zhuo, Z. & Kulkarni, S. R. (2014). Detection of shilling attacks in recommender systems via spectral clustering. In Proceedings of the 17th international conference on information fusion, (pp. 1\u20138). Salamanca, Spain."}],"container-title":["Information Retrieval Journal"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10791-016-9284-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10791-016-9284-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10791-016-9284-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,2]],"date-time":"2024-01-02T14:25:22Z","timestamp":1704205522000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10791-016-9284-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,9,20]]},"references-count":50,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2016,12]]}},"alternative-id":["9284"],"URL":"https:\/\/doi.org\/10.1007\/s10791-016-9284-4","relation":{},"ISSN":["1386-4564","1573-7659"],"issn-type":[{"type":"print","value":"1386-4564"},{"type":"electronic","value":"1573-7659"}],"subject":[],"published":{"date-parts":[[2016,9,20]]},"assertion":[{"value":"20 January 2015","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 July 2016","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 September 2016","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}