{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T01:54:28Z","timestamp":1768010068596,"version":"3.49.0"},"publisher-location":"Singapore","reference-count":17,"publisher":"Springer Singapore","isbn-type":[{"value":"9789811508707","type":"print"},{"value":"9789811508714","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-981-15-0871-4_15","type":"book-chapter","created":{"date-parts":[[2019,11,15]],"date-time":"2019-11-15T00:14:18Z","timestamp":1573776858000},"page":"192-201","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Attention-Based LSTM for Insider Threat Detection"],"prefix":"10.1007","author":[{"given":"Fangfang","family":"Yuan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanmin","family":"Shang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanbing","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanan","family":"Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianlong","family":"Tan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,11,15]]},"reference":[{"key":"15_CR1","unstructured":"Costa, D.L., Albrethsen, M.J. Collins, M.L: Insider threat indicator ontology. Technical report, Carnegie-Mellon University, Pittsburgh, PA, United States (2016)"},{"issue":"2","key":"15_CR2","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1109\/TCSS.2014.2377811","volume":"1","author":"A Azaria","year":"2014","unstructured":"Azaria, A., Richardson, A., Kraus, S., Subrahmanian, V.S.: Behavioral analysis of insider threat: a survey and bootstrapped prediction in imbalanced data. IEEE Trans. Comput. Soc. Syst. 1(2), 135\u2013155 (2014)","journal-title":"IEEE Trans. Comput. Soc. Syst."},{"key":"15_CR3","unstructured":"Tuor, A., Kaplan, S., Hutchinson, B., Nichols, N., Robinson, S.: Deep learning for unsupervised insider threat detection in structured cybersecurity data streams. In: Workshops at the Thirty-First AAAI Conference on Artificial Intelligence (2017)"},{"key":"15_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1007\/978-3-319-93698-7_4","volume-title":"Computational Science \u2013 ICCS 2018","author":"F Yuan","year":"2018","unstructured":"Yuan, F., Cao, Y., Shang, Y., Liu, Y., Tan, J., Fang, B.: Insider threat detection with deep neural network. In: Shi, Y., et al. (eds.) ICCS 2018. LNCS, vol. 10860, pp. 43\u201354. Springer, Cham (2018). \n                    https:\/\/doi.org\/10.1007\/978-3-319-93698-7_4"},{"issue":"1","key":"15_CR5","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1214\/ss\/998929476","volume":"16","author":"M Schonlau","year":"2001","unstructured":"Schonlau, M., DuMouchel, W., Ju, W.-H., Karr, A.F., Theusan, M., Vardi, Y., et al.: Computer intrusion: detecting masquerades. Stat. Sci. 16(1), 58\u201374 (2001)","journal-title":"Stat. Sci."},{"key":"15_CR6","unstructured":"Maxion, R.A., Townsend, T.N.: Masquerade detection using truncated command lines. In: Proceedings International Conference on Dependable Systems and Networks, pp. 219\u2013228. IEEE (2002)"},{"key":"15_CR7","unstructured":"Maxion, R.A.: Masquerade detection using enriched command lines. In: Proceedings of 2003 International Conference on Dependable Systems and Networks, pp. 5\u201314. IEEE (2003)"},{"key":"15_CR8","unstructured":"Oka, M., Oyama, Y., Kato, K.: Eigen co-occurrence matrix method for masquerade detection. Publications of the Japan Society for Software Science and Technology (2004)"},{"key":"15_CR9","unstructured":"Szymanski, B.K., Zhang, Y.: Recursive data mining for masquerade detection and author identification. In: 2004 Proceedings from the Fifth Annual IEEE SMC Information Assurance Workshop, pp. 424\u2013431. IEEE (2004)"},{"key":"15_CR10","doi-asserted-by":"crossref","unstructured":"Rashid, T., Agrafiotis, I., Nurse, J.R.C.: A new take on detecting insider threats: exploring the use of hidden markov models. In: Proceedings of the 8th ACM CCS International Workshop on Managing Insider Security Threats, pp. 47\u201356. ACM (2016)","DOI":"10.1145\/2995959.2995964"},{"key":"15_CR11","doi-asserted-by":"crossref","unstructured":"Veeramachaneni, K., Arnaldo, I., Korrapati, V., Bassias, C., Li, K.: AI\n                    \n                      \n                    \n                    $$^2$$\n                    \n                      \n                        \n                          \n                          2\n                        \n                      \n                    \n                  : training a big data machine to defend. In: 2016 IEEE 2nd International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing (HPSC), and IEEE International Conference on Intelligent Data and Security (IDS), pp. 49\u201354. IEEE (2016)","DOI":"10.1109\/BigDataSecurity-HPSC-IDS.2016.79"},{"key":"15_CR12","doi-asserted-by":"crossref","unstructured":"Lu, J., Wong, R.K.: Insider threat detection with long short-term memory. In: Proceedings of the Australasian Computer Science Week Multiconference, p. 1. ACM (2019)","DOI":"10.1145\/3290688.3290692"},{"issue":"2","key":"15_CR13","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1109\/72.279181","volume":"5","author":"Y Bengio","year":"1994","unstructured":"Bengio, Y., Simard, P., Frasconi, P., et al.: Learning long-term dependencies with gradient descent is difficult. IEEE Trans. Neural Netw. 5(2), 157\u2013166 (1994)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"8","key":"15_CR14","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"15_CR15","doi-asserted-by":"crossref","unstructured":"Glasser, J., Lindauer, B.: Bridging the gap: a pragmatic approach to generating insider threat data. In: 2013 IEEE Security and Privacy Workshops, pp. 98\u2013104. IEEE (2013)","DOI":"10.1109\/SPW.2013.37"},{"key":"15_CR16","unstructured":"Al-Rfou, R., et al.: Theano: a python framework for fast computation of mathematical expressions. arXiv preprint \n                    arXiv:1605.02688\n                    \n                   (2016)"},{"key":"15_CR17","unstructured":"Chollet, F., et al.: Keras: The python deep learning library. Astrophysics Source Code Library (2018)"}],"container-title":["Communications in Computer and Information Science","Applications and Techniques in Information Security"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-0871-4_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,15]],"date-time":"2019-11-15T00:23:30Z","timestamp":1573777410000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-0871-4_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9789811508707","9789811508714"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-0871-4_15","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"15 November 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ATIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Applications and Techniques in Information Security","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tamil Nadul","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 November 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 November 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"atis2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.sastra.edu\/atis2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}