{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,28]],"date-time":"2025-06-28T07:23:34Z","timestamp":1751095414402},"publisher-location":"Singapore","reference-count":17,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811548246"},{"type":"electronic","value":"9789811548253"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-981-15-4825-3_11","type":"book-chapter","created":{"date-parts":[[2020,4,25]],"date-time":"2020-04-25T08:02:53Z","timestamp":1587801773000},"page":"135-145","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Deep Learning Approach for Enhanced Cyber Threat Indicators in Twitter Stream"],"prefix":"10.1007","author":[{"given":"K.","family":"Simran","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Prathiksha","family":"Balakrishna","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R.","family":"Vinayakumar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"K. P.","family":"Soman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,4,26]]},"reference":[{"key":"11_CR1","doi-asserted-by":"crossref","unstructured":"Sapienza, A., Bessi, A., Damodaran, S., Shakarian, P., Lerman, K., Ferrara, E.: Early warnings of cyber threats in online discussions. In: 2017 IEEE International Conference on Data Mining Workshops (ICDMW), pp. 667\u2013674. IEEE (2017)","DOI":"10.1109\/ICDMW.2017.94"},{"key":"11_CR2","unstructured":"Sabottke, C., Suciu, O., Dumitras, T.: Vulnerability disclosure in the age of social media: exploiting Twitter for predicting real-world exploits. In: USENIX Security Symposium, pp. 1041\u20131056 (2015)"},{"issue":"4","key":"11_CR3","doi-asserted-by":"publisher","first-page":"e10029","DOI":"10.2196\/10029","volume":"20","author":"T Mackey","year":"2018","unstructured":"Mackey, T., Kalyanam, J., Klugman, J., Kuzmenko, E., Gupta, R.: Solution to detect, classify, and report illicit online marketing and sales of controlled substances via Twitter: using machine learning and web forensics to combat digital opioid access. J. Med. Internet Res. 20(4), e10029 (2018)","journal-title":"J. Med. Internet Res."},{"issue":"1","key":"11_CR4","first-page":"42","volume":"24","author":"P Gal\u00e1n-Garc\u00eda","year":"2016","unstructured":"Gal\u00e1n-Garc\u00eda, P., de la Puerta, J.G., G\u00f3mez, C.L., Santos, I., Bringas, P.G.: Supervised machine learning for the detection of troll profiles in Twitter social network: application to a real case of cyberbullying. Logic J. IGPL 24(1), 42\u201353 (2016)","journal-title":"Logic J. IGPL"},{"key":"11_CR5","unstructured":"Ashktorab, Z., Brown, C., Nandi, M., Culotta, A.: Tweedr: mining Twitter to inform disaster response. In: ISCRAM (2014)"},{"key":"11_CR6","doi-asserted-by":"crossref","unstructured":"Khandpur, R.P., Ji, T., Jan, S., Wang, G., Lu, C.-T., Ramakrishnan, N.: Crowdsourcing cybersecurity: cyber attack detection using social media. In: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, pp. 1049\u20131057. ACM (2017)","DOI":"10.1145\/3132847.3132866"},{"key":"11_CR7","doi-asserted-by":"crossref","unstructured":"Le Sceller, Q., Karbab, E.B., Debbabi, M., Iqbal, F.: Sonar: automatic detection of cyber security events over the Twitter stream. In: Proceedings of the 12th International Conference on Availability, Reliability and Security, p. 23. ACM (2017)","DOI":"10.1145\/3098954.3098992"},{"key":"11_CR8","doi-asserted-by":"crossref","unstructured":"Mittal, S., Das, P.K., Mulwad, V., Joshi, A., Finin, T.: CyberTwitter: using Twitter to generate alerts for cybersecurity threats and vulnerabilities. In: Proceedings of the 2016 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 860\u2013867. IEEE Press (2016)","DOI":"10.1109\/ASONAM.2016.7752338"},{"key":"11_CR9","unstructured":"Edouard, A.: Event detection and analysis on short text messages. Ph.D. dissertation, Universite C\u00f4te d\u2019Azur (2017)"},{"issue":"11","key":"11_CR10","doi-asserted-by":"publisher","first-page":"2883","DOI":"10.1007\/s00500-016-2265-0","volume":"21","author":"K-C Lee","year":"2017","unstructured":"Lee, K.-C., Hsieh, C.-H., Wei, L.-J., Mao, C.-H., Dai, J.-H., Kuang, Y.-T.: Sec-buzzer: cyber security emerging topic mining with open threat intelligence retrieval and timeline event annotation. Soft Comput. 21(11), 2883\u20132896 (2017)","journal-title":"Soft Comput."},{"key":"11_CR11","doi-asserted-by":"crossref","unstructured":"Ritter, A., Wright, E., Casey, W., Mitchell, T.: Weakly supervised extraction of computer security events from Twitter. In: Proceedings of the 24th International Conference on World Wide Web, pp. 896\u2013905. International World Wide Web Conferences Steering Committee (2015)","DOI":"10.1145\/2736277.2741083"},{"key":"11_CR12","doi-asserted-by":"crossref","unstructured":"Behzadan, V., Aguirre, C., Bose, A., Hsu, W.: Corpus and deep learning classifier for collection of cyber threat indicators in Twitter stream. In: 2018 IEEE International Conference on Big Data (Big Data), pp. 5002\u20135007 (2018)","DOI":"10.1109\/BigData.2018.8622506"},{"key":"11_CR13","unstructured":"Vinayakumar, R., Alazab, M., Jolfaei, A., Soman, K.P., Poornachandran, P.: Ransomware triage using deep learning: Twitter as a case study. In: 2019 Cybersecurity and Cyberforensics Conference (CCC), pp. 67\u201373. IEEE, May 2019"},{"key":"11_CR14","doi-asserted-by":"crossref","unstructured":"Vinayakumar, R., Soman, K.P., Poornachandran, P., Menon, V.K.: A deep-dive on machine learning for cyber security use cases. In: Machine Learning for Computer and Cyber Security, pp. 122\u2013158. CRC Press (2019)","DOI":"10.1201\/9780429504044-6"},{"key":"11_CR15","series-title":"Advanced Sciences and Technologies for Security Applications","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1007\/978-3-030-13057-2_6","volume-title":"Deep Learning Applications for Cyber Security","author":"R Vinayakumar","year":"2019","unstructured":"Vinayakumar, R., Soman, K.P., Poornachandran, P., Alazab, M., Jolfaei, A.: DBD: deep learning DGA-based botnet detection. In: Alazab, M., Tang, M.J. (eds.) Deep Learning Applications for Cyber Security. ASTSA, pp. 127\u2013149. Springer, Cham (2019). \nhttps:\/\/doi.org\/10.1007\/978-3-030-13057-2_6"},{"key":"11_CR16","series-title":"Advanced Sciences and Technologies for Security Applications","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1007\/978-3-030-16837-7_6","volume-title":"Cybersecurity and Secure Information Systems","author":"R Vinayakumar","year":"2019","unstructured":"Vinayakumar, R., Soman, K.P., Poornachandran, P., Akarsh, S., Elhoseny, M.: Deep learning framework for cyber threat situational awareness based on email and URL data analysis. In: Hassanien, A., Elhoseny, M. (eds.) Cybersecurity and Secure Information Systems. ASTSA, pp. 87\u2013124. Springer, Cham (2019). \nhttps:\/\/doi.org\/10.1007\/978-3-030-16837-7_6"},{"key":"11_CR17","series-title":"Advanced Sciences and Technologies for Security Applications","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1007\/978-3-030-16837-7_8","volume-title":"Cybersecurity and Secure Information Systems","author":"R Vinayakumar","year":"2019","unstructured":"Vinayakumar, R., Soman, K.P., Poornachandran, P., Akarsh, S., Elhoseny, M.: Improved DGA domain names detection and categorization using deep learning architectures with classical machine learning algorithms. In: Hassanien, A., Elhoseny, M. (eds.) Cybersecurity and Secure Information Systems. ASTSA, pp. 161\u2013192. Springer, Cham (2019). \nhttps:\/\/doi.org\/10.1007\/978-3-030-16837-7_8"}],"container-title":["Communications in Computer and Information Science","Security in Computing and Communications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-4825-3_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,4,25]],"date-time":"2020-04-25T08:04:52Z","timestamp":1587801892000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-4825-3_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811548246","9789811548253"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-4825-3_11","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"26 April 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SSCC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Security in Computing and Communication","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Trivandrum","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":"18 December 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 December 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"sscc2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.acn-conference.org\/sscc2019\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EDAS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"61","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":"22","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":"7","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":"36% - 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":"3.2","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":"3","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}