{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T17:10:46Z","timestamp":1743095446479,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031175503"},{"type":"electronic","value":"9783031175510"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-17551-0_34","type":"book-chapter","created":{"date-parts":[[2022,9,29]],"date-time":"2022-09-29T13:25:48Z","timestamp":1664457948000},"page":"522-538","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Spear Phishing Email Detection with\u00a0Multiple Reputation Features and\u00a0Sample Enhancement"],"prefix":"10.1007","author":[{"given":"Zhiting","family":"Ling","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huamin","family":"Feng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiong","family":"Ding","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuren","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chang","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peian","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,9,30]]},"reference":[{"key":"34_CR1","unstructured":"Internet Crime Report. https:\/\/www.ic3.gov\/Media\/PDF\/AnnualReport\/2020_IC3Report.pdf (2020)"},{"key":"34_CR2","unstructured":"Internet Security Threat Report. https:\/\/docs.broadcom.com\/doc\/istr-24-2019-en (2019)"},{"key":"34_CR3","doi-asserted-by":"crossref","unstructured":"Data Breach Investigations Report. https:\/\/www.verizon.com\/business\/en-gb\/resources\/reports\/2020-data-breach-investigations-report.pdf (2020)","DOI":"10.1016\/S1361-3723(20)30059-2"},{"key":"34_CR4","series-title":"IFIP Advances in Information and Communication Technology","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1007\/978-3-030-57404-8_9","volume-title":"Human Aspects of Information Security and Assurance","author":"P Unchit","year":"2020","unstructured":"Unchit, P., Das, S., Kim, A., Camp, L.J.: Quantifying susceptibility to spear phishing in a high school environment using signal detection theory. In: Clarke, N., Furnell, S. (eds.) HAISA 2020. IAICT, vol. 593, pp. 109\u2013120. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-57404-8_9"},{"key":"34_CR5","unstructured":"Hongfu, H.U., Peng, G.: Mechanism of phishing email detection based on user interaction and its realization. Comput. Eng. Appl. (2017)"},{"key":"34_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1007\/978-3-319-20550-2_5","volume-title":"Detection of Intrusions and Malware, and Vulnerability Assessment","author":"G Stringhini","year":"2015","unstructured":"Stringhini, G., Thonnard, O.: That ain\u2019t you: blocking spearphishing through behavioral modelling. In: Almgren, M., Gulisano, V., Maggi, F. (eds.) DIMVA 2015. LNCS, vol. 9148, pp. 78\u201397. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-20550-2_5"},{"key":"34_CR7","unstructured":"Spear phishing attack detection. https:\/\/apps.dtic.mil\/sti\/pdfs\/ADA540272.pdf (2011)"},{"key":"34_CR8","doi-asserted-by":"crossref","unstructured":"Dewan, P., Kashyap, A., Kumaraguru, P.: Analyzing social and stylometric features to identify spear phishing emails. In: 2014 APWG symposium on electronic crime research (ecrime), pp. 1\u201313. IEEE (2014)","DOI":"10.1109\/ECRIME.2014.6963160"},{"key":"34_CR9","unstructured":"Amiri, I.S., Akanbi, O.A., Fazeldehkordi, E.: A machine-learning approach to phishing detection and defense. Syngress (2014)"},{"key":"34_CR10","doi-asserted-by":"crossref","unstructured":"Adewumi, O.A., Akinyelu, A.A.: A hybrid firefly and support vector machine classifier for phishing email detection. Kybernetes (2016)","DOI":"10.1108\/K-07-2014-0129"},{"key":"34_CR11","unstructured":"L.W.G: Research on harpoon attack model and detection in advanced persistent threats, Ph.D. dissertation, University of Electronic Science and Technology of China (2020)"},{"key":"34_CR12","unstructured":"Chi, Y.P., Ling, Z.T., Ping, X.U., Yang, J.X.: Method of spearphishing attack detection. In: Computer Engineering and Design (2018)"},{"key":"34_CR13","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/j.knosys.2013.01.018","volume":"42","author":"A Fern\u00e1ndez","year":"2013","unstructured":"Fern\u00e1ndez, A., L\u00f3Pez, V., Galar, M., Del Jesus, M.J., Herrera, F.: Analysing the classification of imbalanced data-sets with multiple classes: binarization techniques and ad-hoc approaches. Knowl.-Based Syst. 42, 97\u2013110 (2013)","journal-title":"Knowl.-Based Syst."},{"key":"34_CR14","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1613\/jair.953","volume":"16","author":"NV Chawla","year":"2002","unstructured":"Chawla, N.V., Bowyer, K.W., Hall, L.O., Kegelmeyer, W.P.: Smote: synthetic minority over-sampling technique. J. Artif. Intell. Res. 16, 321\u2013357 (2002)","journal-title":"J. Artif. Intell. Res."},{"key":"34_CR15","unstructured":"Z.M.: Identification of encrypted traffic as small sample of class-imbalance, Ph. D. dissertation, Harbin Institute of Technology (2013)"},{"key":"34_CR16","doi-asserted-by":"crossref","unstructured":"Liu, Z., Zeng, Y., Zhang, P., Xue, J., Zhang, J., Liu, J.: An imbalanced malicious domains detection method based on passive DNS traffic analysis. Secur. Commun. Netw. 2018(4), 1\u20137 (2018)","DOI":"10.1155\/2018\/6510381"},{"key":"34_CR17","doi-asserted-by":"crossref","unstructured":"Ding, X., Liu, B., Jiang, Z., Wang, Q., Xin, L.: Spear phishing emails detection based on machine learning. In: 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD), pp. 354\u2013359. IEEE (2021)","DOI":"10.1109\/CSCWD49262.2021.9437758"},{"key":"34_CR18","unstructured":"Ho, G., et al.: Detecting and characterizing lateral phishing at scale. In: 28th USENIX Security Symposium (USENIX Security 19), pp. 1273\u20131290 (2019)"}],"container-title":["Lecture Notes in Computer Science","Science of Cyber Security"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-17551-0_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,29]],"date-time":"2022-09-29T13:30:21Z","timestamp":1664458221000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-17551-0_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031175503","9783031175510"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-17551-0_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"30 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SciSec","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Science of Cyber Security","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Matsue","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 August 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 August 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"scisec2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.scisec.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"30","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"15","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"50% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3 Posters","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}