{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T06:20:41Z","timestamp":1764570041137,"version":"3.46.0"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031944444"},{"type":"electronic","value":"9783031944451"}],"license":[{"start":{"date-parts":[[2025,9,5]],"date-time":"2025-09-05T00:00:00Z","timestamp":1757030400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,5]],"date-time":"2025-09-05T00:00:00Z","timestamp":1757030400000},"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":[[2026]]},"DOI":"10.1007\/978-3-031-94445-1_11","type":"book-chapter","created":{"date-parts":[[2025,9,4]],"date-time":"2025-09-04T17:14:01Z","timestamp":1757006041000},"page":"203-213","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Enhancing Runtime Application Self-Protection with\u00a0Unsupervised Deep Learning"],"prefix":"10.1007","author":[{"given":"Bolun","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Futai","family":"Zou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingyi","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiajia","family":"Han","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,9,5]]},"reference":[{"key":"11_CR1","doi-asserted-by":"crossref","unstructured":"\u010cisar, P., \u010cisar, S.M.: The framework of runtime application self-protection technology. In: 2016 IEEE 17th International Symposium on Computational Intelligence and Informatics (CINTI), pp. 000081\u2013000086. IEEE (2016)","DOI":"10.1109\/CINTI.2016.7846383"},{"key":"11_CR2","doi-asserted-by":"crossref","unstructured":"Gauthier, F., Bae, S.: Runtime prevention of deserialization attacks. In: Proceedings of the ACM\/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results, pp. 71\u201375 (2022)","DOI":"10.1145\/3510455.3512786"},{"key":"11_CR3","doi-asserted-by":"crossref","unstructured":"Graves, A., Graves, A.: Long short-term memory. In: Supervised Sequence Labelling with Recurrent Neural Networks, pp. 37\u201345 (2012)","DOI":"10.1007\/978-3-642-24797-2_4"},{"issue":"1","key":"11_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s42400-019-0038-7","volume":"2","author":"A Khraisat","year":"2019","unstructured":"Khraisat, A., Gondal, I., Vamplew, P., Kamruzzaman, J.: Survey of intrusion detection systems: techniques, datasets and challenges. Cybersecurity 2(1), 1\u201322 (2019). https:\/\/doi.org\/10.1186\/s42400-019-0038-7","journal-title":"Cybersecurity"},{"key":"11_CR5","unstructured":"Kingma, D.P., Ba, J.: Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)"},{"issue":"3","key":"11_CR6","first-page":"35","volume":"1","author":"V Kumar","year":"2012","unstructured":"Kumar, V., Sangwan, O.P.: Signature based intrusion detection system using snort. Int. J. Comput. Appl. Inf. Technol. 1(3), 35\u201341 (2012)","journal-title":"Int. J. Comput. Appl. Inf. Technol."},{"issue":"1","key":"11_CR7","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.jnca.2012.09.004","volume":"36","author":"HJ Liao","year":"2013","unstructured":"Liao, H.J., Lin, C.H.R., Lin, Y.C., Tung, K.Y.: Intrusion detection system: a comprehensive review. J. Netw. Comput. Appl. 36(1), 16\u201324 (2013)","journal-title":"J. Netw. Comput. Appl."},{"issue":"20","key":"11_CR8","doi-asserted-by":"publisher","first-page":"4396","DOI":"10.3390\/app9204396","volume":"9","author":"H Liu","year":"2019","unstructured":"Liu, H., Lang, B.: Machine learning and deep learning methods for intrusion detection systems: a survey. Appl. Sci. 9(20), 4396 (2019)","journal-title":"Appl. Sci."},{"key":"11_CR9","unstructured":"Ng, A., et\u00a0al.: Sparse autoencoder. CS294A Lecture Notes 72(2011), 1\u201319 (2011)"},{"key":"11_CR10","unstructured":"OWASP: Owasp top ten (2024). https:\/\/owasp.org\/www-project-top-ten"},{"key":"11_CR11","unstructured":"Paszke, A., et\u00a0al.: Pytorch: an imperative style, high-performance deep learning library. In: Advances in Neural Information Processing Systems, vol. 32 (2019)"},{"issue":"7","key":"11_CR12","first-page":"579","volume":"8","author":"MC Popescu","year":"2009","unstructured":"Popescu, M.C., Balas, V.E., Perescu-Popescu, L., Mastorakis, N.: Multilayer perceptron and neural networks. WSEAS Trans. Circuits Syst. 8(7), 579\u2013588 (2009)","journal-title":"WSEAS Trans. Circuits Syst."},{"key":"11_CR13","doi-asserted-by":"crossref","unstructured":"Razzaq, A., Hur, A., Shahbaz, S., Masood, M., Ahmad, H.F.: Critical analysis on web application firewall solutions. In: 2013 IEEE Eleventh International Symposium on Autonomous Decentralized Systems (ISADS), pp.\u00a01\u20136. IEEE (2013)","DOI":"10.1109\/ISADS.2013.6513431"},{"issue":"1","key":"11_CR14","doi-asserted-by":"publisher","first-page":"372","DOI":"10.1145\/1111320.1111070","volume":"41","author":"Z Su","year":"2006","unstructured":"Su, Z., Wassermann, G.: The essence of command injection attacks in web applications. ACM. Sigplan Notices 41(1), 372\u2013382 (2006)","journal-title":"ACM. Sigplan Notices"},{"key":"11_CR15","unstructured":"Touvron, H., et\u00a0al.: Llama: open and efficient foundation language models. arXiv preprint arXiv:2302.13971 (2023)"},{"key":"11_CR16","unstructured":"Touvron, H., et\u00a0al.: Llama 2: open foundation and fine-tuned chat models. arXiv preprint arXiv:2307.09288 (2023)"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Security and Privacy in Communication Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-94445-1_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T06:16:48Z","timestamp":1764569808000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-94445-1_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,5]]},"ISBN":["9783031944444","9783031944451"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-94445-1_11","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2025,9,5]]},"assertion":[{"value":"5 September 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SecureComm","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Security and Privacy in Communication Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Dubai","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Arab Emirates","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"securecomm2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/securecomm.eai-conferences.org\/2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}