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Malware Detection via Machine Learning and Recognition of Non Stationary Tasks.

, , and . DASC/PiCom/CBDCom/CyberSciTech, page 606-611. IEEE, (2020)

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Detecting Anomalies in Process Control Networks., and . Critical Infrastructure Protection, volume 311 of IFIP Advances in Information and Communication Technology, page 151-165. Springer, (2009)An exploration of defensive deception in industrial communication networks.. Int. J. Crit. Infrastructure Prot., 4 (2): 66-75 (2011)On Second-Order Detection of Webcam Spyware., , and . ICICT, page 424-431. IEEE, (2020)Vulnerability Analysis of SCADA Protocol Binaries through Detection of Memory Access Taintedness, and . Information Assurance and Security Workshop, 2007. IAW '07. IEEE SMC, page 341-348. (June 2007)Malware Detection via Machine Learning and Recognition of Non Stationary Tasks., , and . DASC/PiCom/CBDCom/CyberSciTech, page 606-611. IEEE, (2020)NIC displays to thwart malware attacks mounted from within the OS.. Comput. Secur., (2016)DNIC Architectural Developments for 0-Knowledge Detection of OPC Malware.. IEEE Trans. Dependable Secur. Comput., 18 (1): 30-44 (2021)Anomaly detection via statistical learning in industrial communication networks.. Int. J. Inf. Comput. Secur., 4 (4): 295-315 (2011)Model-driven Timing Consistency for Active Malware Redirection., , , , and . MALWARE, page 132-141. IEEE, (2018)Combating Memory Corruption Attacks On Scada Devices., and . Critical Infrastructure Protection, volume 290 of IFIP Advances in Information and Communication Technology, page 141-156. Springer, (2008)