{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T18:16:15Z","timestamp":1725905775449},"publisher-location":"Singapore","reference-count":14,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811054266"},{"type":"electronic","value":"9789811054273"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-981-10-5427-3_10","type":"book-chapter","created":{"date-parts":[[2017,7,21]],"date-time":"2017-07-21T05:43:15Z","timestamp":1500615795000},"page":"91-101","source":"Crossref","is-referenced-by-count":2,"title":["Detecting Malwares Using Dynamic Call Graphs and Opcode Patterns"],"prefix":"10.1007","author":[{"given":"K. P.","family":"Deepta","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Salim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,7,22]]},"reference":[{"key":"10_CR1","doi-asserted-by":"crossref","unstructured":"Islam, R., Tian, R., Batten, L., Versteeg, S.: Classification of malware based on string and function feature selection. In: IEEE Second Cybercrime and Trustworthy Computing Workshop (2010)","DOI":"10.1109\/CTC.2010.11"},{"key":"10_CR2","doi-asserted-by":"crossref","unstructured":"Santos, I., Nieves, J., Bringas, P.G.: Semi-supervised learning for unknown malware detection. In: 9th International Conference on Practical Applications of Agents and Multi-agent Systems (PAAMS) (2011)","DOI":"10.1007\/978-3-642-19934-9_53"},{"key":"10_CR3","doi-asserted-by":"crossref","unstructured":"Ye, Y., Li, Y., Chen, Y., Jiang, Q.: Automatic malware categorization using cluster ensemble. In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2010, pp. 95\u2013104. ACM, New York (2010)","DOI":"10.1145\/1835804.1835820"},{"key":"10_CR4","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1109\/TDSC.2013.40","volume":"11","author":"S Cesare","year":"2014","unstructured":"Cesare, S., Xiang, Y., Zhou, W.: Control flow-based Malware variant detection. IEEE Trans. Dependable Secure Comput. 11, 307\u2013317 (2014)","journal-title":"IEEE Trans. Dependable Secure Comput."},{"key":"10_CR5","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1049\/iet-ifs.2012.0289","volume":"8","author":"Z Zhao","year":"2014","unstructured":"Zhao, Z., Wang, J., Bai, J.: Malware detection method based on the control flow construct feature of software. IET J. Inf. Secur. 8, 18\u201324 (2014)","journal-title":"IET J. Inf. Secur."},{"key":"10_CR6","doi-asserted-by":"crossref","first-page":"283","DOI":"10.3844\/ajassp.2012.283.288","volume":"9","author":"AAE Elhadi","year":"2012","unstructured":"Elhadi, A.A.E., Maarof, M.A., Osman, A.H.: Malware detection based on hybrid signature behavior application programming interface call graph. Am. J. Appl. Sci. 9, 283 (2012)","journal-title":"Am. J. Appl. Sci."},{"key":"10_CR7","unstructured":"Anderson, B.H., Quist, D.A., Neil, J.C.: Graph-based Malware Detection Using Dynamic Analysis. Los Alamos National Laboratory Associate Directorate for Theory, Simulation, and Computation (ADTSC) LA-UR 12-20429"},{"key":"10_CR8","doi-asserted-by":"crossref","unstructured":"Borojerdi, H.R., Abadi, M.: MalHunter: automatic generation of multiple behavioral signatures for polymorphic Malware detection. In: 3rd International Conference on Computer and Knowledge Engineering (ICCKE 2013), 31 October\u20131 November 2013. Ferdowsi University of Mashhad (2013)","DOI":"10.1109\/ICCKE.2013.6682867"},{"key":"10_CR9","doi-asserted-by":"crossref","unstructured":"Sharma, V.: A theoretical implementation of blended program analysis for virus sign extraction. In: IEEE International Carnahan Conference on Security Technology (ICCST), October 2011","DOI":"10.1109\/CCST.2011.6095879"},{"key":"10_CR10","unstructured":"Nguyen, M.H., Nguyen, T.B., Quan, T.T., Ogawa, M.: A hybrid approach for control flow graph construction from binary code. In: IEEE Software Engineering Conference (APSEC) (2013)"},{"key":"10_CR11","doi-asserted-by":"crossref","unstructured":"Zhang, P., Tan, Y.: Hybrid concentration based feature extraction approach for malware detection. In: 2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (2015)","DOI":"10.1109\/CCECE.2015.7129175"},{"key":"10_CR12","unstructured":"http:\/\/www.nilc.icmc.usp.br\/elc-ebralc2012\/minicursos\/WekaManual-3-6-8.pdf"},{"key":"10_CR13","unstructured":"https:\/\/virusshare.com"},{"key":"10_CR14","unstructured":"https:\/\/avcaesar.malware.lu"}],"container-title":["Communications in Computer and Information Science","Advances in Computing and Data Sciences"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-10-5427-3_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T03:14:36Z","timestamp":1569899676000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-10-5427-3_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9789811054266","9789811054273"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-981-10-5427-3_10","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2017]]}}}