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Malware Triage Based on Static Features and Public APT Reports.

, , , and . CSCML, volume 10332 of Lecture Notes in Computer Science, page 288-305. Springer, (2017)

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An event-based platform for collaborative threats detection and monitoring., , , and . Inf. Syst., (2014)Survey of machine learning techniques for malware analysis., , and . Computers & Security, (2019)Share a pie?: Privacy-Preserving Knowledge Base Export through Count-min Sketches., , and . CODASPY, page 95-106. ACM, (2017)The goods, the bads and the uglies: Supporting decisions in malware detection through visual analytics., , , , and . VizSEC, page 1-8. IEEE Computer Society, (2017)Towards a Supply Chain Management System for Counterfeit Mitigation using Blockchain and PUF., , , , , and . CoRR, (2019)NIRVANA: A Non-intrusive Black-Box Monitoring Framework for Rack-Level Fault Detection., , , , , and . PRDC, page 11-20. IEEE Computer Society, (2015)Towards the Usage of Invariant-Based App Behavioral Fingerprinting for the Detection of Obfuscated Versions of Known Malware., , , , and . NGMAST, page 121-126. IEEE, (2016)Adaptive online scheduling in storm., , and . DEBS, page 207-218. ACM, (2013)Automatic Invariant Selection for Online Anomaly Detection., , , , , and . SAFECOMP, volume 9922 of Lecture Notes in Computer Science, page 172-183. Springer, (2016)An Architecture for Automatic Scaling of Replicated Services., , , , and . NETYS, volume 8593 of Lecture Notes in Computer Science, page 122-137. Springer, (2014)