{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T22:35:29Z","timestamp":1772318129741,"version":"3.50.1"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030415785","type":"print"},{"value":"9783030415792","type":"electronic"}],"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\/978-3-030-41579-2_2","type":"book-chapter","created":{"date-parts":[[2020,2,17]],"date-time":"2020-02-17T16:09:09Z","timestamp":1581955749000},"page":"18-33","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Evading API Call Sequence Based Malware Classifiers"],"prefix":"10.1007","author":[{"given":"Fenil","family":"Fadadu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anand","family":"Handa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nitesh","family":"Kumar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sandeep Kumar","family":"Shukla","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,2,18]]},"reference":[{"key":"2_CR1","unstructured":"Keras: The python deep learning library (2019). https:\/\/keras.io\/"},{"key":"2_CR2","unstructured":"scikit-learn: Machine learning in python (2019). https:\/\/scikit-learn.org\/stable\/"},{"key":"2_CR3","doi-asserted-by":"publisher","first-page":"14410","DOI":"10.1109\/ACCESS.2018.2807385","volume":"6","author":"N Akhtar","year":"2018","unstructured":"Akhtar, N., Mian, A.: Threat of adversarial attacks on deep learning in computer vision: a survey. IEEE Access 6, 14410\u201314430 (2018)","journal-title":"IEEE Access"},{"key":"2_CR4","volume-title":"Evading Machine Learning Malware Detection","author":"HS Anderson","year":"2017","unstructured":"Anderson, H.S., Kharkar, A., Filar, B., Roth, P.: Evading Machine Learning Malware Detection. Black Hat, Las Vegas (2017)"},{"key":"2_CR5","doi-asserted-by":"crossref","unstructured":"Arp, D., Spreitzenbarth, M., Hubner, M., Gascon, H., Rieck, K., Siemens, C.: Drebin: effective and explainable detection of android malware in your pocket. In: NDSS, vol. 14, pp. 23\u201326 (2014)","DOI":"10.14722\/ndss.2014.23247"},{"key":"2_CR6","unstructured":"Backes, M., Manoharan, P., Grosse, K., Papernot, N.: Adversarial perturbations against deep neural networks for malware classification. The Computing Research Repository (CoRR) (2016)"},{"key":"2_CR7","doi-asserted-by":"crossref","unstructured":"Chen, L., Ye, Y., Bourlai, T.: Adversarial machine learning in malware detection: arms race between evasion attack and defense. In: 2017 European Intelligence and Security Informatics Conference (EISIC), pp. 99\u2013106. IEEE (2017)","DOI":"10.1109\/EISIC.2017.21"},{"key":"2_CR8","doi-asserted-by":"crossref","unstructured":"Fleshman, W., Raff, E., Zak, R., McLean, M., Nicholas, C.: Static malware detection and subterfuge: Quantifying the robustness of machine learning and current anti-virus. In: 2018 13th International Conference on Malicious and Unwanted Software (MALWARE), pp. 1\u201310. IEEE (2018)","DOI":"10.1109\/MALWARE.2018.8659360"},{"key":"2_CR9","unstructured":"Kreuk, F., Barak, A., Aviv-Reuven, S., Baruch, M., Pinkas, B., Keshet, J.: Adversarial examples on discrete sequences for beating whole-binary malware detection. arXiv preprint arXiv:1802.04528 (2018)"},{"key":"2_CR10","unstructured":"Kreuk, F., Barak, A., Aviv-Reuven, S., Baruch, M., Pinkas, B., Keshet, J.: Deceiving end-to-end deep learning malware detectors using adversarial examples. arXiv preprint arXiv:1802.04528 (2018)"},{"key":"2_CR11","unstructured":"Malshare (2019). https:\/\/malshare.com\/"},{"key":"2_CR12","unstructured":"Mohali, C.: (2019). https:\/\/cdac.in\/index.aspx?id=mohali"},{"key":"2_CR13","unstructured":"Nachenberg, C., Seshadri, V., Ramzan, Z.: An analysis of real-world effectiveness of reputation-based security. In: Proceedings of the Virus Bulletin Conference (VB) (2010)"},{"key":"2_CR14","unstructured":"Paudice, A., Mu\u00f1oz-Gonz\u00e1lez, L., Gyorgy, A., Lupu, E.C.: Detection of adversarial training examples in poisoning attacks through anomaly detection. arXiv preprint arXiv:1802.03041 (2018)"},{"key":"2_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"490","DOI":"10.1007\/978-3-030-00470-5_23","volume-title":"Research in Attacks, Intrusions, and Defenses","author":"I Rosenberg","year":"2018","unstructured":"Rosenberg, I., Shabtai, A., Rokach, L., Elovici, Y.: Generic black-box end-to-end attack against state of the art API call based malware classifiers. In: Bailey, M., Holz, T., Stamatogiannakis, M., Ioannidis, S. (eds.) RAID 2018. LNCS, vol. 11050, pp. 490\u2013510. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-00470-5_23"},{"key":"2_CR16","doi-asserted-by":"crossref","unstructured":"Stokes, J.W., Wang, D., Marinescu, M., Marino, M., Bussone, B.: Attack and defense of dynamic analysis-based, adversarial neural malware detection models. In: MILCOM 2018\u20132018 IEEE Military Communications Conference (MILCOM), pp. 1\u20138. IEEE (2018)","DOI":"10.1109\/MILCOM.2018.8599855"},{"key":"2_CR17","unstructured":"VirusShare (2019). https:\/\/virusshare.com\/"},{"key":"2_CR18","unstructured":"Xu, W., Qi, Y., Evans, D.: Automatically evading classifiers, pp. 21\u201324 (2016)"},{"key":"2_CR19","unstructured":"Zade, H.: Persistent IAT hooking (2018). https:\/\/github.com\/hasherezade\/IAT_patcher"}],"container-title":["Lecture Notes in Computer Science","Information and Communications Security"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-41579-2_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,26]],"date-time":"2020-11-26T20:12:32Z","timestamp":1606421552000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-41579-2_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030415785","9783030415792"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-41579-2_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"18 February 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICICS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Information and Communications Security","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Beijing","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","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":"15 December 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 December 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icics2019","order":10,"name":"conference_id","label":"Conference ID","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":"Easy Chair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"199","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":"47","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":"24% - 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","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":"8","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)"}}]}}