{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T01:37:57Z","timestamp":1774402677463,"version":"3.50.1"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031877711","type":"print"},{"value":"9783031877728","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-87772-8_2","type":"book-chapter","created":{"date-parts":[[2025,4,22]],"date-time":"2025-04-22T07:31:55Z","timestamp":1745307115000},"page":"13-24","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Enhancing Cybersecurity: Malicious Webpage Detection Using Machine and\u00a0Deep Learning"],"prefix":"10.1007","author":[{"given":"R.","family":"Madhusudhan","sequence":"first","affiliation":[]},{"given":"Saurabh V.","family":"Surashe","sequence":"additional","affiliation":[]},{"given":"P.","family":"Pravisha","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,4,23]]},"reference":[{"key":"2_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2018\/1798659","volume":"2018","author":"HS Brar","year":"2018","unstructured":"Brar, H.S., Kumar, G.: Cybercrimes: a proposed taxonomy and challenges. J. Comput. Netw. Commun. 2018, 1\u201311 (2018). https:\/\/doi.org\/10.1155\/2018\/1798659","journal-title":"J. Comput. Netw. Commun."},{"issue":"6","key":"2_CR2","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1109\/MSECP.2003.1253567","volume":"1","author":"A Bouguettaya","year":"2003","unstructured":"Bouguettaya, A., Eltoweissy, M.: Privacy on the web: facts, chal- lenges, and solutions. IEEE Secur. Privacy 1(6), 40\u201349 (2003)","journal-title":"IEEE Secur. Privacy"},{"issue":"5","key":"2_CR3","doi-asserted-by":"publisher","first-page":"973","DOI":"10.1016\/j.jcss.2014.02.005","volume":"80","author":"J Jang-Jaccard","year":"2014","unstructured":"Jang-Jaccard, J., Nepal, S.: A survey of emerging threats in cybersecurity. J. Comput. Syst. Sci. 80(5), 973\u2013993 (2014)","journal-title":"J. Comput. Syst. Sci."},{"key":"2_CR4","unstructured":"Powers, D.M.: Evaluation: from precision, recall and f-measure to roc, informedness, markedness and correlation. arXiv preprint arXiv:2010.16061, 2020"},{"issue":"1","key":"2_CR5","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1007\/s11235-020-00733-2","volume":"76","author":"A Basit","year":"2021","unstructured":"Basit, A., Zafar, M., Liu, X., Javed, A.R., Jalil, Z., Kifayat, K.: A comprehensive survey of AI-enabled phishing attacks detection techniques. Telecommun. Syst. 76(1), 139\u2013154 (2021)","journal-title":"Telecommun. Syst."},{"issue":"19","key":"2_CR6","doi-asserted-by":"publisher","first-page":"29431","DOI":"10.1007\/s11042-023-14731-4","volume":"82","author":"AK Jha","year":"2023","unstructured":"Jha, A.K., Muthalagu, R., Pawar, P.M.: Intelligent phishing website detection using machine learning. Multimed. Tools Appl. 82(19), 29431\u201329456 (2023)","journal-title":"Multimed. Tools Appl."},{"key":"2_CR7","doi-asserted-by":"publisher","first-page":"36805","DOI":"10.1109\/ACCESS.2023.3252366","volume":"11","author":"A Karim","year":"2023","unstructured":"Karim, A., Shahroz, M., Mustofa, K., Belhaouari, S.B., Joga, S.: Phishing detection system through hybrid machine learning based on URL. IEEE Access 11, 36805\u201336822 (2023). https:\/\/doi.org\/10.1109\/ACCESS.2023.3252366","journal-title":"IEEE Access"},{"issue":"2","key":"2_CR8","doi-asserted-by":"publisher","first-page":"813","DOI":"10.1007\/s12652-019-01311-4","volume":"11","author":"RS Rao","year":"2020","unstructured":"Rao, R.S., Vaishnavi, T., Pais, A.R.: CatchPhish: detection of phishing websites by inspecting URLs. J. Amb. Intell. Human. Comput. 11(2), 813\u2013825 (2020). https:\/\/doi.org\/10.1007\/s12652-019-01311-4","journal-title":"J. Amb. Intell. Human. Comput."},{"key":"2_CR9","doi-asserted-by":"publisher","first-page":"101003","DOI":"10.1016\/j.measen.2023.101003","volume":"31","author":"R Jayaraj","year":"2024","unstructured":"Jayaraj, R., Pushpalatha, A., Sangeetha, K., Kamaleshwar, T., Udhaya Shree, S., Damodaran, D.: Intrusion detection based on phishing detection with machine learning. Measurement: Sensors 31, 101003 (2024). https:\/\/doi.org\/10.1016\/j.measen.2023.101003","journal-title":"Measurement: Sensors"},{"key":"2_CR10","doi-asserted-by":"publisher","first-page":"102171","DOI":"10.1016\/j.ijinfomgt.2020.102171","volume":"55","author":"R De\u2019","year":"2020","unstructured":"De\u2019, R., Pandey, N., Pal, A.: Impact of digital surge during Covid-19 pandemic: a viewpoint on research and practice. Int. J. Inform. Manage. 55, 102171 (2020). https:\/\/doi.org\/10.1016\/j.ijinfomgt.2020.102171","journal-title":"Int. J. Inform. Manage."},{"key":"2_CR11","unstructured":"Eunaicy, J.C., Suguna, S.: Web attack detection using deep learning models. Materials Today: Proceedings (2022)"},{"issue":"3","key":"2_CR12","first-page":"193","volume":"33","author":"AO Aljahdalic","year":"2024","unstructured":"Aljahdalic, A.O., Banafee, S., Aljohani, T.: URL filtering using machine learning algorithms. Inform. Secur. J.: A Global Persp. 33(3), 193\u2013203 (2024)","journal-title":"Inform. Secur. J.: A Global Persp."},{"issue":"3","key":"2_CR13","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1017\/S1351324922000213","volume":"29","author":"CP Chai","year":"2023","unstructured":"Chai, C.P.: Comparison of text preprocessing methods. Nat. Lang. Eng. 29(3), 509\u2013553 (2023)","journal-title":"Nat. Lang. Eng."},{"key":"2_CR14","doi-asserted-by":"crossref","unstructured":"Midhan, T.M., Selvaraj, P., Raju, M.H.K., Reddy, M.B.P. and Bhaskar, T.: Classification of mental health and emotion of human from text using machine learning approaches. In: 2023 6th International Conference on Information Systems and Computer Networks (ISCON), 2023, pp. 1\u20137 (2023)","DOI":"10.1109\/ISCON57294.2023.10111973"},{"key":"2_CR15","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1080\/03081079.2017.1291635","volume":"46","author":"L Havrlant","year":"2017","unstructured":"Havrlant, L., Kreinovich, V.: 2017), A simple probabilistic explanation of term frequency-inverse document frequency (tf-idf) heuristic (and variations motivated by this explanation. Int. J. Gen Syst 46, 27\u201336 (2017)","journal-title":"Int. J. Gen Syst"},{"issue":"3","key":"2_CR16","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1109\/2.485891","volume":"29","author":"AK Jain","year":"1996","unstructured":"Jain, A.K., Mao, J., Mohiuddin, K.M.: Artificial neural networks: A tutorial. Computer 29(3), 31\u201344 (1996)","journal-title":"Computer"},{"issue":"4","key":"2_CR17","doi-asserted-by":"publisher","first-page":"1221","DOI":"10.1109\/TPWRD.2003.817492","volume":"18","author":"J He","year":"2003","unstructured":"He, J., Zeng, R., Chen, S., Youping, T.: Thermal characteristics of high voltage whole-solid-insulated polymeric ZnO surge arrester. IEEE Trans. Power Delivery 18(4), 1221\u20131227 (2003)","journal-title":"IEEE Trans. Power Delivery"},{"issue":"3","key":"2_CR18","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1007\/BF00994018","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.: Support-vector networks. Mach. Learn. 20(3), 273\u2013297 (1995)","journal-title":"Mach. Learn."},{"issue":"1","key":"2_CR19","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45(1), 5\u201332 (2001)","journal-title":"Mach. Learn."},{"issue":"1","key":"2_CR20","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/S0034-4257(97)00083-7","volume":"62","author":"SV Stehman","year":"1997","unstructured":"Stehman, S.V.: Selecting and interpreting measures of thematic classification accuracy. Remote Sens. Environ. 62(1), 77\u201389 (1997)","journal-title":"Remote Sens. Environ."},{"key":"2_CR21","doi-asserted-by":"crossref","unstructured":"Madhusudhan, R., Surashe, S.V.: Privacy and Security Comparison of Web Browsers: A Review. Barolli, L., Hussain, F., Enokido, T. (eds) Advanced Information Networking and Applications (AINA), Lecture Notes in Networks and Systems, vol. 451. Springer, Cham (2022)","DOI":"10.1007\/978-3-030-99619-2_44"},{"key":"2_CR22","doi-asserted-by":"publisher","first-page":"101003","DOI":"10.1016\/j.measen.2023.101003","volume":"31","author":"R Jayaraj","year":"2024","unstructured":"Jayaraj, R., Pushpalatha, A., Sangeetha, K., Kamaleshwar, T., Udhaya Shree, S., Damodaran, D.: Intrusion detection based on phishing detection with machine learning. Measure.: Sensors 31, 101003 (2024). https:\/\/doi.org\/10.1016\/j.measen.2023.101003","journal-title":"Measure.: Sensors"},{"key":"2_CR23","doi-asserted-by":"publisher","first-page":"1691","DOI":"10.3390\/su13041691","volume":"13","author":"X Huang","year":"2021","unstructured":"Huang, X., Zhang, J., Sresakoolchai, J., Kaewunruen, S.: Machine learning aided design and prediction of environmentally friendly rubberised concrete. Sustainability 13, 1691 (2021)","journal-title":"Sustainability"},{"key":"2_CR24","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1016\/j.ijsbe.2016.09.003","volume":"5","author":"F Khademi","year":"2016","unstructured":"Khademi, F., Jamal, S.M., Deshpande, N., Londhe, S.: Predicting strength of recycled aggregate concrete using artificial neural network, adaptive neuro-fuzzy inference system, and multiple linear regression. Int. J. Sustain. Built Environ. 5, 355\u2013369 (2016)","journal-title":"Int. J. Sustain. Built Environ."},{"key":"2_CR25","first-page":"365","volume":"470","author":"L Mor\u00e1n-Fern\u00e1ndez","year":"2022","unstructured":"Mor\u00e1n-Fern\u00e1ndez, L., B\u00f3lon-Canedo, V., Alonso-Betanzos, A.: How important is data quality? Best classifiers vs best features, Neurocomputing 470, 365\u2013375 (2022)","journal-title":"Best classifiers vs best features, Neurocomputing"},{"key":"2_CR26","doi-asserted-by":"publisher","first-page":"97258","DOI":"10.1109\/ACCESS.2020.2995157","volume":"8","author":"D Liu","year":"2020","unstructured":"Liu, D., Lee, J.-H.: CNN based malicious website detection by invalidating multiple web spams. IEEE Access 8, 97258\u201397266 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.2995157","journal-title":"IEEE Access"}],"container-title":["Lecture Notes on Data Engineering and Communications Technologies","Advanced Information Networking and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-87772-8_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T18:38:18Z","timestamp":1751567898000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-87772-8_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031877711","9783031877728"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-87772-8_2","relation":{},"ISSN":["2367-4512","2367-4520"],"issn-type":[{"value":"2367-4512","type":"print"},{"value":"2367-4520","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"23 April 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AINA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Information Networking and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Barcelona","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 April 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 April 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"39","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aina0","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/voyager.ce.fit.ac.jp\/conf\/aina\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}