{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T20:55:21Z","timestamp":1725569721071},"publisher-location":"Berlin, Heidelberg","reference-count":14,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642175336"},{"type":"electronic","value":"9783642175343"}],"license":[{"start":{"date-parts":[[2010,1,1]],"date-time":"2010-01-01T00:00:00Z","timestamp":1262304000000},"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":[[2010]]},"DOI":"10.1007\/978-3-642-17534-3_32","type":"book-chapter","created":{"date-parts":[[2010,11,12]],"date-time":"2010-11-12T03:51:22Z","timestamp":1289533882000},"page":"259-266","source":"Crossref","is-referenced-by-count":8,"title":["A Malware Detection Algorithm Based on Multi-view Fusion"],"prefix":"10.1007","author":[{"given":"Shanqing","family":"Guo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qixia","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fengbo","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fengyu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Ban","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"32_CR1","first-page":"120","volume-title":"IEEE Symposium on Security and Privacy (S&P)","author":"S. Forrest","year":"1996","unstructured":"Forrest, S., et al.: A Sense of Self for Unix Processes. In: IEEE Symposium on Security and Privacy (S&P), pp. 120\u2013128. IEEE Press, USA (1996)"},{"key":"32_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1007\/3-540-39945-3_8","volume-title":"Recent Advances in Intrusion Detection","author":"A. Wespi","year":"2000","unstructured":"Wespi, A., et al.: Intrusion Detection Using Variable-Length Audit Trail Patterns. In: Debar, H., M\u00e9, L., Wu, S.F., et al. (eds.) RAID 2000. LNCS, vol.\u00a01907, pp. 110\u2013129. Springer, Heidelberg (2000)"},{"key":"32_CR3","volume-title":"IEEE Symposium on Security and Privacy (S&P)","author":"M. Christodorescu","year":"2005","unstructured":"Christodorescu, M., et al.: Semantics-Aware Malware Detection. In: IEEE Symposium on Security and Privacy (S&P). IEEE Press, USA (2005)"},{"key":"32_CR4","unstructured":"Beaucamps, P., Marion, J.-Y.: Optimized control flow graph construction for malware detection. In: International Workshop on the Theory of Computer Viruses (TCV), France (2008)"},{"key":"32_CR5","doi-asserted-by":"crossref","unstructured":"Ahmed, F., et al.: Using Spatio-Temporal Information in API Calls with Machine Learning Algorithms for Malware Detection and Analysis. In: Proceedings of the 2nd ACM Workshop on Security and Artificial Intelligence, Chicago, Illinois, USA, pp. 55\u201362 (2009)","DOI":"10.1145\/1654988.1655003"},{"key":"32_CR6","unstructured":"Turner, D., et al.: Symantec Internet security thread report trends for January06-june 06. Symaatec Corporation Cupertino, CA, USA, Tech Rep: Volume X (2006)"},{"key":"32_CR7","doi-asserted-by":"crossref","unstructured":"Rieck, K., et al.: Learning and Classification of Malware Behavior. In: Proceedings of the 5th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, Paris, France, pp. 108\u2013125 (2008)","DOI":"10.1007\/978-3-540-70542-0_6"},{"key":"32_CR8","unstructured":"Ye, N.: A markov chain model of temporal behavior for anomaly detection. In: Workshop on Information Assurance and Security, West Point, NY (June 2000)"},{"key":"32_CR9","unstructured":"Lee, W., et al.: Data Mining Approaches for Intrusion Detection. In: 7th USENIX Security Symposium, San Antonio, TX (1998)"},{"key":"32_CR10","doi-asserted-by":"crossref","unstructured":"Han, S.-J., Cho, S.-B.: Evolutionary neural networks for anomaly detection based on the behavior of a program. IEEE Trans. Syst. Man Cybern. B Cybern., 559\u2013570 (June 2006)","DOI":"10.1109\/TSMCB.2005.860136"},{"key":"32_CR11","volume-title":"Machine Learning","author":"T.M. Mitchell","year":"1997","unstructured":"Mitchell, T.M.: Machine Learning. The McGraw-Hill Companies, Inc., New York (1997)"},{"key":"32_CR12","doi-asserted-by":"crossref","unstructured":"Huang, Y.S., et al.: The behavior-knowledge space method for combination of multiple classifiers. In: Computer Vision and Pattern Recognition, pp. 347\u2013352 (1993)","DOI":"10.1109\/CVPR.1993.1626170"},{"key":"32_CR13","unstructured":"http:\/\/vx.netlux.org\/vl.php"},{"key":"32_CR14","unstructured":"http:\/\/www.APImonitor.com\/"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing. Models and Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-17534-3_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,6]],"date-time":"2019-06-06T03:07:26Z","timestamp":1559790446000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-17534-3_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642175336","9783642175343"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-17534-3_32","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2010]]}}}