Abstract: According to one embodiment, a malware detection and visualization system includes one or more processors; and a storage module communicatively coupled to the one or more processors, the storage module comprises logic, upon execution by the one or more processors, that accesses a first set of information that comprises (i) information directed to a plurality of observed events and (ii) information directed to one or more relationships that identify an association between different observed events of the plurality of observed events; and generates a reference model based on the first set of information, the reference model comprises at least a first event of the plurality of observed events, a second event of the plurality of observed events, and a first relationship that identifies that the second event is based on the first event, wherein at least one of (i) the plurality of observed events or (ii) the one or more relationships constitutes an anomalous behavior is provided.

Abstract: According to one embodiment, a malware detection and visualization system comprises one or more processors; and a storage module communicatively coupled to the one or more processors, the storage module comprises logic, upon execution by the one or more processors, that accesses a first set of information that comprises (i) information directed to a plurality of observed events and (ii) information directed to one or more relationships that identify an association between different observed events of the plurality of observed events; and generates a reference model based on the first set of information, the reference model comprises at least a first event of the plurality of observed events, a second event of the plurality of observed events, and a first relationship that identifies that the second event is based on the first event, wherein at least one of (i) the plurality of observed events or (ii) the one or more relationships constitutes an anomalous behavior is provided.

Abstract: According to one embodiment, a computerized method comprises, accessing information associated with one or more observed events, wherein one or more of the observed events constitutes an anomalous behavior; accessing a reference model based on a first plurality of events, the reference model comprises a first event of the first plurality of events, a second event of the first plurality of events and a relationship that identifies that the second event of the first plurality of events is based on the first event of the first plurality of events, wherein at least one of the first event and the second event constitutes an anomalous behavior; and comparing the information associated with the one or more observed events with the reference model to determine whether at least one observed event of the one or more observed events matches at least one of the first event of the first plurality of events or the second event of the first plurality of events that constitutes the anomalous behavior is provided.

Abstract: According to one embodiment, a computerized method comprises, accessing information associated with one or more observed events, wherein one or more of the observed events constitutes an anomalous behavior; accessing a reference model based on a first plurality of events, the reference model comprises a first event of the first plurality of events, a second event of the first plurality of events and a relationship that identifies that the second event of the first plurality of events is based on the first event of the first plurality of events, wherein at least one of the first event and the second event constitutes an anomalous behavior; and comparing the information associated with the one or more observed events with the reference model to determine whether at least one observed event of the one or more observed events matches at least one of the first event of the first plurality of events or the second event of the first plurality of events that constitutes the anomalous behavior is provided.

Abstract: Systems, methods, apparatus and software can implement clusterizing processes on existing standalone server application installations. A server computer system on which a server application resides is renamed from its original name. Cluster software is installed on the server computer system. A virtual server is created to represent the server application to client applications and users. The virtual server is given the original server computer system name and can also be given the server computer system's network address. Cluster functionality can further be extended to allow a virtual server to failover to any other node available in a cluster.