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Learning edge weights in file co-occurrence graphs for malware detection.

W. Mao, Z. Cai, B. Zeng, and X. Guan. Data Min. Knowl. Discov., 33 (1): 168-203 (2019)

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Probabilistic Inference on Integrity for Access Behavior Based Malware Detection.W. Mao, Z. Cai, D. Towsley, and X. Guan. RAID, volume 9404 of Lecture Notes in Computer Science, page 155-176. Springer, (2015)Identifying Intrusion Infections via Probabilistic Inference on Bayesian Network.Y. Yang, Z. Cai, W. Mao, and Z. Yang. DIMVA, volume 9148 of Lecture Notes in Computer Science, page 307-326. Springer, (2015)Centrality metrics of importance in access behaviors and malware detections.W. Mao, Z. Cai, X. Guan, and D. Towsley. ACSAC, page 376-385. ACM, (2014)Learning edge weights in file co-occurrence graphs for malware detection.W. Mao, Z. Cai, B. Zeng, and X. Guan. Data Min. Knowl. Discov., 33 (1): 168-203 (2019)Open-Source License Violations of Binary Software at Large Scale.M. Feng, W. Mao, Z. Yuan, Y. Xiao, G. Ban, W. Wang, S. Wang, Q. Tang, J. Xu, H. Su and 2 other author(s). SANER, page 564-568. IEEE, (2019)Understanding Effects of Collaborations in Developing Mobile Computing Systems: Popularity, Efficiency, and Quality.W. Mao, B. Sun, G. Xu, C. Liu, C. Si, and W. Wang. IEEE Access, (2019)DCDroid: automated detection of SSL/TLS certificate verification vulnerabilities in Android apps.Y. Wang, X. Liu, W. Mao, and W. Wang. ACM TUR-C, page 137:1-137:9. ACM, (2019)

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Learning edge weights in file co-occurrence graphs for malware detection.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Learning edge weights in file co-occurrence graphs for malware detection.

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Learning edge weights in file co-occurrence graphs for malware detection.